NVIDIA Unveils GeForce RTX 50 Series: A New Era of AI-Powered Graphics

NVIDIA Blackwell GeForce RTX 50 Series Opens New World of AI Computer Graphics

CES -- NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers -- the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting. "Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said Jensen Huang, founder and CEO of NVIDIA. "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The GeForce RTX 5090 GPU -- the fastest GeForce RTX GPU to date -- features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x. GeForce Blackwell comes to laptops with all the features of desktop models, bringing a considerable upgrade to portable computing, including extraordinary graphics capabilities and remarkable efficiency. The Blackwell generation of NVIDIA Max-Q technology extends battery life by up to 40%, and includes thin and light laptops that maintain their sleek design without sacrificing power or performance. NVIDIA DLSS 4 Boosts Performance by Up to 8x DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with NVIDIA Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. NVIDIA Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, NVIDIA introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, NVIDIA is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100x more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from NVIDIA. Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. NVIDIA is introducing a suite of new NVIDIA ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into KRAFTON's PUBG: BATTLEGROUNDS and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next's MIR5. In PUBG, companions powered by NVIDIA ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NVIDIA NIM microservices to build AI agents and assistants, NVIDIA will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as Black Forest Labs, Meta, Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all NVIDIA GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative workflows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The NVIDIA Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual Key Light, which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by NVIDIA ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. Availability For desktop users, the GeForce RTX 5090 GPU with 3,352 AI TOPS and the GeForce RTX 5080 GPU with 1,801 AI TOPS will be available on Jan. 30 at $1,999 and $999, respectively. The GeForce RTX 5070 Ti GPU with 1,406 AI TOPS and GeForce RTX 5070 GPU with 988 AI TOPS will be available starting in February at $749 and $549, respectively. The NVIDIA Founders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide. Stock-clocked and factory-overclocked models will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC, and in desktops from system builders including Falcon Northwest, Infiniarc, MAINGEAR, Mifcom, ORIGIN PC, PC Specialist and Scan Computers. Laptops with GeForce RTX 5090, RTX 5080 and RTX 5070 Ti Laptop GPUs will be available starting in March, and RTX 5070 Laptop GPUs will be available starting in April from the world's top manufacturers, including Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MECHREVO, MSI and Razer.

Nvidia unveils GeForce RTX 50 Series graphics cards with big performance gains

Jensen Huang, CEO of Nvidia, disclosed the news during his opening keynote speech at CES 2025, the big tech trade show in Las Vegas this week. "Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said Huang. "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The new RTX Blackwell Neural Rendering Architecture comes with about 92 billion transistors. It has 125 Shader Teraflops of performance 380 RT TFLOPS, 4,000 AI TOPS, 1.8 terabytes per second of memory bandwidth, G7 memory (from Micron) and an AI-management processor. The top SKU has basically over 3,352 trillion AI operations per second (TOPS) of computing power. "The programmable shader is also able to carry neural networks," Huang said. Among the new technologies in this generation are RTX Neural Shaders, DLSS 4, RTX Neural Face rendering to create more realistic human faces, RTX Mega Geometry for rendering environments, and Reflex 2. The DLSS 4 now can generate multiple frames at once thanks to advanced AI technology. That makes for much better frame rates. Nvidia showed that one scene could be rendered at 27 frames per second with the DLSS turned off, with a 71 millisecond PC latency. DLSS 2 can do that scene with its super resolution tech at 71 FPS and PC latency of 34 milliseconds. DLSS 3.5 can do the scene at 140 FPS and 33 milliseconds. But DLSS 4 comes in at a whopping 247 FPS and 34 milliseconds. DLSS 4 is more than eight times better performance than systems that aren't using AI for the predictive processing. Nvidia's SKUs include the GeForce RTX 50 Series Desktop Family. It includes the top of the line GPU, the GeForce RTX 5090 coming in at 3,404 AI TOPS and 32GB of G7 memory for $1,999. It also includes the GeForce RTX 5080 at 1,800 AI TOPS and 16GB of G7 memory for $999. The GeForce RTX 5070 Ti (the performance of a 4090) has 1,406 AI TOPS, 16GB of G7 memory for $749 and the GeForce RTX 5070 has 1117 AI TOPS, 12GB of G7 and costs $549. Nvidia also said the GeForce RTX 50 Series will come to laptops with two times efficiency with more performance at half the power compared to the previous generation. It has 40% more battery life with Black Max-Q, two times larger generative AI models, and it is as thin as 14.9 millimeters in terms of laptop thickness. As far as pricing goes, the laptops will come as follows: RTX 5090 at 1,824 AI TOPS and 24GB at $2,899. The RTX 5080 laptops will be at 1,334 AI TOPS, 16GB and $2,199. The RTX 5070 Ti will be 992 AI TOPS, 12GB and $1,599 and the RTX 5070 will be 798 AI TOPS, eight GB and $1,299. Those are steep prices, but they represent the high end of value in GPUs for gaming. Justin Walker, senior director of GeForce products, said in press briefing that Nvidia's GeForce graphics card brand just celebrated its 25-year anniversary. It was the hit product that helped cement the company's dominance in the ultra-competitive graphics processing unit (GPU) market and it enabled the company to use graphics as a springboard to AI processing, which is why Nvidia is the most valuable company in the world with a market capitalization of $3.65 trillion. Now, it turns out, Walker said, AI can be used to help accelerate the performance of GPUs. "The great thing about that is that while we are now an AI company, as well as gaming, our gaming side still benefits tremendously from the fact that we are doing AI," Walker said. And that's the root of one of the announcements: Nvidia took the wraps of DLSS 4, which uses AI to predict the next pixel that needs to be drawn and then preemptively renders the pixel based on that prediction. The AI TOPS (a measure of AI performance) will be up to 4,000. The new architecture of the 5000 series will have 1.8 terabytes per second of memory bandwidth, and it's also tapping the Blackwell architecture that is the foundation of Nvidia's latest AI processors. The new GPU also has neural rendering technologies such as neural shaders. "This is probably the biggest thing to happen in the graphics since programming for shaders, we are actually going to be embedding small neural networks within the shaders itself, and these neural networks can do certain things much more effectively and efficiently than traditional shaders," Walker said. The tech will enable Nvidia to compress textures eight times to maximize use of memory. The Reflex 2 tech will use predictive shading to reduce the latency between when a gamer creates a movement and it shows up on the screen, so it will be 75% more responsive for gamers. The 5090 series is likely to ship in January and the rest of the systems are going to ship in the March time frame, and the company will say which companies are shipping with the technology later. A number of games like Cyberpunk 2077 can play in 4K resolution at over 200 frames per second. Walker said the company will have a list of games that take advantage of the various features. Nvidia DLSS 4 Boosts Performance by Up to 8 times DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with Nvidia Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. Nvidia Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, Nvidia introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, NVIDIA is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100 times more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from Nvidia. Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. Nvidia is introducing a suite of new Nvidia ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into Krafton's PUBG: Battlegrounds and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next's MIR5. In PUBG, companions powered by NVIDIA ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NVIDIA NIM microservices to build AI agents and assistants, NVIDIA will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as Black Forest Labs, Meta, Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all NVIDIA GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingengertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative work flows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The NVIDIA Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual Key light, which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by NVIDIA ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. The NvidiaFounders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide. Stock-clocked and factory-overclocked models will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC, and in desktops from system builders including Falcon Northwest, Inniarc, MAINGEAR, Mifcom, ORIGIN PC, PC Specialist and Scan Computers. Laptops with GeForce RTX 5090, RTX 5080 and RTX 5070 Ti Laptop GPUs will be available starting in March, and RTX 5070 Laptop GPUs will be available starting in April from the world's top manufacturers, including Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MECHREVO, MSI and Razer.

NVIDIA Blackwell GeForce RTX 50 Series Opens New World of AI Computer Graphics By Investing.com

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers " the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting. Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives, said Jensen Huang, founder and CEO of NVIDIA. Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago. The GeForce RTX 5090 GPU " the fastest GeForce RTX GPU to date " features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x. GeForce Blackwell comes to laptops with all the features of desktop models, bringing a considerable upgrade to portable computing, including extraordinary graphics capabilities and remarkable efficiency. The Blackwell generation of NVIDIA Max-Q technology extends battery life by up to 40%, and includes thin and light laptops that maintain their sleek design without sacrificing power or performance. NVIDIA DLSS 4 Boosts Performance by Up to 8x DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with NVIDIA Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. NVIDIA Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, NVIDIA introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, NVIDIA is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100x more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from NVIDIA. Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. NVIDIA is introducing a suite of new NVIDIA ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into KRAFTON's PUBG: BATTLEGROUNDS and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next (LON:NXT)'s MIR5. In PUBG, companions powered by NVIDIA ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NVIDIA NIM microservices to build AI agents and assistants, NVIDIA will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as Black Forest Labs, Meta (NASDAQ:META), Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all NVIDIA GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative workflows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The NVIDIA Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual Key Light, which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by NVIDIA ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. Availability For desktop users, the GeForce RTX 5090 GPU with 3,352 AI TOPS and the GeForce RTX 5080 GPU with 1,801 AI TOPS will be available on Jan. 30 at $1,999 and $999, respectively. The GeForce RTX 5070 Ti GPU with 1,406 AI TOPS and GeForce RTX 5070 GPU with 988 AI TOPS will be available starting in February at $749 and $549, respectively. The NVIDIA Founders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide. Stock-clocked and factory-overclocked models will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC, and in desktops from system builders including Falcon Northwest, Infiniarc, MAINGEAR, Mifcom, ORIGIN PC, PC Specialist and Scan Computers. Laptops with GeForce RTX 5090, RTX 5080 and RTX 5070 Ti Laptop GPUs will be available starting in March, and RTX 5070 Laptop GPUs will be available starting in April from the world's top manufacturers, including Acer (TW:2353), ASUS, Dell (NYSE:DELL), GIGABYTE, HP (NYSE:HPQ), Lenovo, MECHREVO, MSI and Razer. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Ben Berraondo NVIDIA Corporation (NASDAQ:NVDA) +1-669-271-5730 bberraondo@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services, and technologies, including GeForce RTX 50 Series Desktop and Laptop GPUs, NVIDIA Blackwell architecture, fifth-generation Tensor Cores, fourth-generation RT Cores, GeForce RTX 5090 Founders Edition GPU, NVIDIA DLSS 4, NVIDIA Reflex, DLSS Multi Frame Generation, DLSS Super Resolution and Ray Reconstruction models, NVIDIA Reflex 2, RTX Neural Shaders, RTX Neural Faces, RTX Mega Geometry, ACE technologies, NVIDIA NIM microservices, Project R2X, RTX 40 Series GPUs, NVIDIA RTX Remix modding platform and D5 Render, NVIDIA Broadcast, Studio Voice, Virtual Key Light, GeForce Blackwell, NVIDIA Max-Q technology, GeForce RTX 5090, GeForce RTX 5080, GeForce RTX 5070 Ti, and GeForce RTX 5070, GeForce RTX 5090 Laptop GPU, GeForce RTX 5080 Laptop GPU, GeForce RTX 5070 Ti Laptop GPU, GeForce RTX 5070 Laptop GPU; and third parties adopting NVIDIA's products and technologies are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo GeForce and NVIDIA NIM are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1cf5396b-b8ff-4b1b-b868-9af87dd6b7c6

NVIDIA Blackwell GeForce RTX 50 Series Opens New World of AI Computer Graphics - NVIDIA (NASDAQ:NVDA)

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers -- the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting. "Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said Jensen Huang, founder and CEO of NVIDIA. "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The GeForce RTX 5090 GPU -- the fastest GeForce RTX GPU to date -- features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x. GeForce Blackwell comes to laptops with all the features of desktop models, bringing a considerable upgrade to portable computing, including extraordinary graphics capabilities and remarkable efficiency. The Blackwell generation of NVIDIA Max-Q technology extends battery life by up to 40%, and includes thin and light laptops that maintain their sleek design without sacrificing power or performance. NVIDIA DLSS 4 Boosts Performance by Up to 8x DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with NVIDIA Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. NVIDIA Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, NVIDIA introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, NVIDIA is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100x more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from NVIDIA. Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. NVIDIA is introducing a suite of new NVIDIA ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into KRAFTON's PUBG: BATTLEGROUNDS and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next's MIR5. In PUBG, companions powered by NVIDIA ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NVIDIA NIM microservices to build AI agents and assistants, NVIDIA will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as Black Forest Labs, Meta, Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all NVIDIA GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative workflows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The NVIDIA Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual Key Light, which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by NVIDIA ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. Availability For desktop users, the GeForce RTX 5090 GPU with 3,352 AI TOPS and the GeForce RTX 5080 GPU with 1,801 AI TOPS will be available on Jan. 30 at $1,999 and $999, respectively. The GeForce RTX 5070 Ti GPU with 1,406 AI TOPS and GeForce RTX 5070 GPU with 988 AI TOPS will be available starting in February at $749 and $549, respectively. The NVIDIA Founders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide. Stock-clocked and factory-overclocked models will be available from top add-in card providers such as ASUS, Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and ZOTAC, and in desktops from system builders including Falcon Northwest, Infiniarc, MAINGEAR, Mifcom, ORIGIN PC, PC Specialist and Scan Computers. Laptops with GeForce RTX 5090, RTX 5080 and RTX 5070 Ti Laptop GPUs will be available starting in March, and RTX 5070 Laptop GPUs will be available starting in April from the world's top manufacturers, including Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MECHREVO, MSI and Razer. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Ben Berraondo NVIDIA Corporation +1-669-271-5730 bberraondo@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services, and technologies, including GeForce RTX 50 Series Desktop and Laptop GPUs, NVIDIA Blackwell architecture, fifth-generation Tensor Cores, fourth-generation RT Cores, GeForce RTX 5090 Founders Edition GPU, NVIDIA DLSS 4, NVIDIA Reflex, DLSS Multi Frame Generation, DLSS Super Resolution and Ray Reconstruction models, NVIDIA Reflex 2, RTX Neural Shaders, RTX Neural Faces, RTX Mega Geometry, ACE technologies, NVIDIA NIM microservices, Project R2X, RTX 40 Series GPUs, NVIDIA RTX Remix modding platform and D5 Render, NVIDIA Broadcast, Studio Voice, Virtual Key Light, GeForce Blackwell, NVIDIA Max-Q technology, GeForce RTX 5090, GeForce RTX 5080, GeForce RTX 5070 Ti, and GeForce RTX 5070, GeForce RTX 5090 Laptop GPU, GeForce RTX 5080 Laptop GPU, GeForce RTX 5070 Ti Laptop GPU, GeForce RTX 5070 Laptop GPU; and third parties adopting NVIDIA's products and technologies are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo GeForce and NVIDIA NIM are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1cf5396b-b8ff-4b1b-b868-9af87dd6b7c6 Market News and Data brought to you by Benzinga APIs

Press release: NVIDIA Announces Blackwell GeForce RTX 50 Series

CES -- NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers -- the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting. "Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said Jensen Huang, founder and CEO of NVIDIA. "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The GeForce RTX 5090 GPU -- the fastest GeForce RTX GPU to date -- features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x. GeForce Blackwell comes to laptops with all the features of desktop models, bringing a considerable upgrade to portable computing, including extraordinary graphics capabilities and remarkable efficiency. The Blackwell generation of NVIDIA Max-Q technology extends battery life by up to 40%, and includes thin and light laptops that maintain their sleek design without sacrificing power or performance. NVIDIA DLSS 4 Boosts Performance by Up to 8x DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with NVIDIA Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. NVIDIA Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, NVIDIA introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, NVIDIA is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100x more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from NVIDIA. Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. NVIDIA is introducing a suite of new NVIDIA ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into KRAFTON's PUBG: BATTLEGROUNDS and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next's MIR5. In PUBG, companions powered by NVIDIA ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NVIDIA NIM microservices to build AI agents and assistants, NVIDIA will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as Black Forest Labs, Meta, Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all NVIDIA GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative workflows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The NVIDIA Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual Key Light, which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by NVIDIA ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. Availability For desktop users, the GeForce RTX 5090 GPU with 3,352 AI TOPS and the GeForce RTX 5080 GPU with 1,801 AI TOPS will be available on Jan. 30 at $1,999 and $999, respectively. The GeForce RTX 5070 Ti GPU with 1,406 AI TOPS and GeForce RTX 5070 GPU with 988 AI TOPS will be available starting in February at $749 and $549, respectively. The NVIDIA Founders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide.

NVIDIA Blackwell GeForce RTX 50 Series Opens New World of AI Computer Graphics

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers -- the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting. "Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said , founder and CEO of . "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The GeForce RTX 5090 GPU -- the fastest GeForce RTX GPU to date -- features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x. GeForce Blackwell comes to laptops with all the features of desktop models, bringing a considerable upgrade to portable computing, including extraordinary graphics capabilities and remarkable efficiency. The Blackwell generation of Max-Q technology extends battery life by up to 40%, and includes thin and light laptops that maintain their sleek design without sacrificing power or performance. DLSS 4 Boosts Performance by Up to 8x DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. It works in unison with the suite of DLSS technologies to increase performance by up to 8x over traditional rendering, while maintaining responsiveness with Reflex technology. DLSS 4 also introduces the graphics industry's first real-time application of the transformer model architecture. Transformer-based DLSS Ray Reconstruction and Super Resolution models use 2x more parameters and 4x more compute to provide greater stability, reduced ghosting, higher details and enhanced anti-aliasing in game scenes. DLSS 4 will be supported on GeForce RTX 50 Series GPUs in over 75 games and applications the day of launch. Reflex 2 introduces Frame Warp, an innovative technique to reduce latency in games by updating a rendered frame based on the latest mouse input just before it is sent to the display. Reflex 2 can reduce latency by up to 75%. This gives gamers a competitive edge in multiplayer games and makes single-player titles more responsive. Blackwell Brings AI to Shaders Twenty-five years ago, introduced GeForce 3 and programmable shaders, which set the stage for two decades of graphics innovation, from pixel shading to compute shading to real-time ray tracing. Alongside GeForce RTX 50 Series GPUs, is introducing RTX Neural Shaders, which brings small AI networks into programmable shaders, unlocking film-quality materials, lighting and more in real-time games. Rendering game characters is one of the most challenging tasks in real-time graphics, as people are prone to notice the smallest errors or artifacts in digital humans. RTX Neural Faces takes a simple rasterized face and 3D pose data as input, and uses generative AI to render a temporally stable, high-quality digital face in real time. RTX Neural Faces is complemented by new RTX technologies for ray-traced hair and skin. Along with the new RTX Mega Geometry, which enables up to 100x more ray-traced triangles in a scene, these advancements are poised to deliver a massive leap in realism for game characters and environments. The power of neural rendering, DLSS 4 and the new DLSS transformer model is showcased on GeForce RTX 50 Series GPUs with Zorah, a groundbreaking new technology demo from . Autonomous Game Characters GeForce RTX 50 Series GPUs bring industry-leading AI TOPS to power autonomous game characters in parallel with game rendering. is introducing a suite of new ACE technologies that enable game characters to perceive, plan and act like human players. ACE-powered autonomous characters are being integrated into KRAFTON's PUBG: BATTLEGROUNDS and InZOI, the publisher's upcoming life simulation game, as well as Wemade Next's MIR5. In PUBG, companions powered by ACE plan and execute strategic actions, dynamically working with human players to ensure survival. InZOI features Smart Zoi characters that autonomously adjust behaviors based on life goals and in-game events. In MIR5, large language model (LLM)-driven raid bosses adapt tactics based on player behavior, creating more dynamic, challenging encounters. AI Foundation Models for RTX AI PCs Showcasing how RTX enthusiasts and developers can use NIM microservices to build AI agents and assistants, will release a pipeline of NIM microservices and AI Blueprints for RTX AI PCs from top model developers such as , Meta, Mistral and Stability AI. Use cases span LLMs, vision language models, image generation, speech, embedding models for retrieval-augmented generation, PDF extraction and computer vision. The NIM microservices include all the necessary components for running AI on PCs and are optimized for deployment across all GPUs. To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. AI-Powered Tools for Creators The GeForce RTX 50 Series GPUs supercharge creative workflows. RTX 50 Series GPUs are the first consumer GPUs to support FP4 precision, boosting AI image generation performance for models such as FLUX by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. The Broadcast app gains two AI-powered beta features for livestreamers: Studio Voice, which upgrades microphone audio, and Virtual , which relights faces for polished streams. Streamlabs is introducing the Intelligent Streaming Assistant, powered by ACE and Inworld AI, which acts as a cohost, producer and technical assistant to enhance livestreams. The Founders Editions of the GeForce RTX 5090, RTX 5080 and RTX 5070 GPUs will be available directly from nvidia.com and select retailers worldwide. Stock-clocked and factory-overclocked models will be available from top add-in card providers such as , Colorful, Gainward, GALAX, GIGABYTE, INNO3D, KFA2, MSI, Palit, PNY and , and in desktops from system builders including Falcon Northwest, Infiniarc, MAINGEAR, Mifcom, ORIGIN PC, PC Specialist and Scan Computers. Laptops with GeForce RTX 5090, RTX 5080 and RTX 5070 Ti Laptop GPUs will be available starting in March, and RTX 5070 Laptop GPUs will be available starting in April from the world's top manufacturers, including Acer, , , GIGABYTE, HP, Lenovo, MECHREVO, MSI and Razer. Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services, and technologies, including GeForce RTX 50 Series Desktop and Laptop GPUs, Blackwell architecture, fifth-generation Tensor Cores, fourth-generation RT Cores, GeForce RTX 5090 Founders Edition GPU, DLSS 4, Reflex, DLSS Multi Frame Generation, DLSS Super Resolution and Ray Reconstruction models, Reflex 2, RTX Neural Shaders, RTX Neural Faces, RTX Mega Geometry, ACE technologies, NIM microservices, Project R2X, RTX 40 Series GPUs, RTX Remix modding platform and D5 Render, Broadcast, Studio Voice, Virtual , GeForce Blackwell, Max-Q technology, GeForce RTX 5090, GeForce RTX 5080, GeForce RTX 5070 Ti, and GeForce RTX 5070, GeForce RTX 5090 Laptop GPU, GeForce RTX 5080 Laptop GPU, GeForce RTX 5070 Ti Laptop GPU, GeForce RTX 5070 Laptop GPU; and third parties adopting NVIDIA's products and technologies are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports files with the , or , including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the are posted on the company's website and are available from without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of . will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 . All rights reserved. , the logo GeForce and NIM are trademarks and/or registered trademarks of in the and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1cf5396b-b8ff-4b1b-b868-9af87dd6b7c6

Nvidia announces RTX 50-series at up to $1,999

Nvidia kicked off its CES 2025 keynote with a rehashing of the company history, starting with NV1 and arcade machines and evolving into an AI powerhouse. The goal is to apply machine learning to every application possible, all powered by Nvidia GPUs -- the house that GeForce built. And that's what we're really here to see: The next generation of GeForce hardware, powered by the Blackwell architecture. Jumping right into the heart of the matter, Nvidia kicked off the GPU announcements with the RTX 5070 at $549. That will leverage AI in various ways to deliver, according to Nvidia, RTX 4090 performance for one third the price. It will also allow for higher levels of performance in laptops, with a mobile RTX 5070 using half the power of an RTX 4090. The rest of the announced 50-series lineup consists of the RTX 5090 at $1,999 as the halo part of this generation, with 3,400 AI TOPS of performance. The RTX 5080 will deliver a bit more than half the AI performance at 1,800 TOPS, with a far more attractive price of $999 -- inheriting the price of the outgoing RTX 4080 Super. The RTX 5070 Ti comes next at $749 with 1,400 TOPS, and then finally the RTX 4070 with 1,000 TOPS at already noted $549 price point. It's an impressive start to the next generation GPU announcements, but we need to understand how Nvidia plans to deliver these upgrades. There's also plenty that we don't yet know (officially) about these GPUs. But let's start with what we do know. Given the stated AI TOPS of performance, the first thing that's obvious is that Nvidia has doubled the AI compute operations relative to Ada Lovelace -- at least for INT8 workloads. Our Blackwell RTX 50-series overview has had rumored specifications for a while, and based on the AI TOPS we've gone ahead and updated the data to at least give us a ballpark estimate on clock speeds and core configurations. These aren't just random guesses, either. Even if the exact core counts and clock speeds may be slightly off, the stated compute levels should work out. Nvidia shows RTX Blackwell offering 125 TFLOPS of FP32 graphics compute via the shaders, which is 1.5X more than its Ada generation counterpart, while the AI performance will be 3X as high. So, AI performance relative to shader performance has doubled. We don't know if the fifth generation tensor cores used in Blackwell will double the throughput for other number formats. Considering the multipurpose use cases for these GPUs -- they'll go into gaming cards, yes, but also professional GPUs and data center AI solutions -- we suspect all aspects of the tensor cores got upgraded. What's interesting is that if we plug in the clock speeds and rumored core counts, we can get a better idea of the final specs. The 125 TFLOPS figure is also accompanied by a maximum 4,000 INT8 TOPS, while the RTX 5090 scales that down to 3,400 TOPS. So the 125 TFLOPS figure represents a hypothetical fully enabled Blackwell chip, while the RTX 5090 will only be partially enabled. That makes sense. Current rumors put the GB202 at up to 192 SMs, while the RTX 5090 will only have 170 enabled. Doing the math, that will give the RTX 5090 about 107 TFLOPS of shader compute to go with the 3,400 TOPS. But the 1.8 TB/s of bandwidth figure does match up perfectly with the previously rumored 28 Gbps GDDR7 memory running on a 512-bit memory interface. What will Nvidia do with double the AI compute on all of its gaming GPUs? Naturally, it plans to have new features and software solutions that will take advantage of the capabilities. With the RTX 5070 offering 1,000 TOPS of compute, nearly the same performance as the RTX 4090 at one third the price, that opens the doors for more computationally demanding tasks. One of the most likely use cases will be AI-based texture compression. We've heard about this in the past, and the idea was demonstrated running on previous generation hardware... but not at extreme framerates. Neural Texture Compression back in May 2023 ran at less than half the speed of standard BTC (Block Truncation Coding) compression. But 18 months later, with boosted AI compute and more training? It's conceivable that we could have NTC running at the same speed as traditional BTC. Given the concerns we and others have had with GPUs running out of VRAM on modern games, it's not too surprising that NTC would be one of the major new features of the Blackwell generation of hardware. Boasting higher image quality with one third the memory use, if utilized it could make even 8GB graphics cards far more viable. There's just one slight problem: Many games are cross-platform titles that run on consoles powered by AMD GPUs. How many games are going to support Nvidia's new texture compression technology if it requires even just an RTX graphics card? And if it requires an RTX 50-series card, that number will be far smaller. But Nvidia has enough sway to move the gaming market in ways that AMD and Intel can't. Will this be the rumored DLSS 4, aka neurally rendered graphics? Or will that be something else? Nvidia hasn't said yet, but certainly it appears NTC will at least fall under the DLSS umbrella somewhere. Besides the desktop GPUs, Nvidia also announced the mobile lineup product names. There will be matching RTX 5090, 5080 5070 Ti, and 5070 laptops with availability in March 2025. While the model names match the desktop line, performance will be significantly lower, and we expect the other specifications will also see similar cuts. The RTX 5090 laptop GPU will offer 1,850 AI TOPS and start at $2,899. That means it's basically equal to the desktop RTX 5080. The mobile 5080 drops to 1,350 AI TOPS, slightly less than the desktop 5070 Ti. Mobile 5070 Ti will have the same 1,000 TOPS as the desktop 5070, and then the vanilla 5070 laptop GPU will offer up to 800 AI TOPS -- which is probably a tease of the upcoming RTX 5060 Ti desktop part. The rest of the keynote, as you might expect, spent a lot of time talking about AI use in all sorts of other areas -- vehicles, medical, warehouses, robotics, etc. It's all stuff we've been hearing repeatedly from Nvidia for the past several years, and it's all interesting, but it's not really our core focus. There's so much happening in the realm of AI, and at times it feels a lot like the crypto and NFT hype we were hearing about back in 2020-2021. Except, this time it doesn't appear that we'll see an end to Ethereum mining that will quiet things down. Nvidia also showed off its new "AI supercomputer" that packs a Grace Blackwell GB10 superchip into a mini PC. Called Project Digits, it runs the full DGX software stack, with 20 Grace CPU cores, 1 PFLOPS of FP4 performance, 128GB of memory, and a 4TB SSD into what should be a more affordable and portable solution that can sit on a desk. And that wraps up the keynote. The most exciting stuff was obviously the RTX 50-series announcement, and there's still a lot that we don't know. That will all be revealed in the coming days, and we're anticipating the full RTX 50-series launch to begin before the end of the month. Stay tuned.

New GeForce RTX 50 Series GPUs Double Creative Performance in 3D, Video and Generative AI

GeForce RTX 50 Series Desktop and Laptop GPUs, unveiled today at the CES trade show, are poised to power the next era of generative and agentic AI content creation -- offering new tools and capabilities for video, livestreaming, 3D and more. Built on the NVIDIA Blackwell architecture, GeForce RTX 50 Series GPUs can run creative generative AI models up to 2x faster in a smaller memory footprint, compared with the previous generation. They feature ninth-generation NVIDIA encoders for advanced video editing and livestreaming, and come with NVIDIA DLSS 4 and up to 32GB of VRAM to tackle massive 3D projects. Generative AI can create sensational results for creators, but with models growing in both complexity and scale, generative AI can be difficult to run even on the latest hardware. The GeForce RTX 50 Series adds FP4 support to help address this issue. FP4 is a lower quantization method, similar to file compression, that decreases model sizes. Compared with FP16 -- the default method that most models feature -- FP4 uses less than half of the memory and 50 Series GPUs provide over 2x performance compared to the previous generation. This can be done with virtually no loss in quality with advanced quantization methods offered by NVIDIA TensorRT Model Optimizer. For example, Black Forest Labs' FLUX.1 [dev] model at FP16 requires over 23GB of VRAM, meaning it can only be supported by the GeForce RTX 4090 and professional GPUs. With FP4, FLUX.1 [dev] requires less than 10GB, so it can run locally on more GeForce RTX GPUs. With a GeForce RTX 4090 with FP16, the FLUX.1 [dev] model can generate images in 15 seconds with 30 steps. With a GeForce RTX 5090 with FP4, images can be generated in just over five seconds. A new NVIDIA AI Blueprint for 3D-guided generative AI based on FLUX.1 [dev], which will be offered as an NVIDIA NIM microservice, offers artists greater control over text-based image generation. With this blueprint, creators can use simple 3D objects -- created by hand or generated with AI -- and lay them out in a 3D renderer like Blender to guide AI image generation. A prepackaged workflow powered by the FLUX NIM microservice and ComfyUI can then generate high-quality images that match the 3D scene's composition. The NVIDIA Blueprint for 3D-guided generative AI is expected to be available through GitHub using a one-click installer in February. Stability AI announced that its Stable Point Aware 3D, or SPAR3D, model will be available this month on RTX AI PCs. Thanks to RTX acceleration, the new model from Stability AI will help transform 3D design, delivering exceptional control over 3D content creation by enabling real-time editing and the ability to generate an object in less than a second from a single image. GeForce RTX 50 Series GPUs deliver a generational leap in NVIDIA encoders and decoders with support for the 4:2:2 pro-grade color format, multiview-HEVC (MV-HEVC) for 3D and virtual reality (VR) video, and the new AV1 Ultra High Quality mode. Most consumer cameras are confined to 4:2:0 color compression, which reduces the amount of color information. 4:2:0 is typically sufficient for video playback on browsers, but it can't provide the color depth needed for advanced video editors to color grade videos. The 4:2:2 format provides double the color information with just a 1.3x increase in RAW file size -- offering an ideal balance for video editing workflows. Decoding 4:2:2 video can be challenging due to the increased file sizes. GeForce RTX 50 Series GPUs include 4:2:2 hardware support that can decode up to eight times the 4K 60 frames per second (fps) video sources per decoder, enabling smooth multi-camera video editing. The GeForce RTX 5090 GPU is equipped with three encoders and two decoders, the GeForce RTX 5080 GPU includes two encoders and two decoders, the 5070 Ti GPUs has two encoders with a single decoder, and the GeForce RTX 5070 GPU includes a single encoder and decoder. These multi-encoder and decoder setups, paired with faster GPUs, enable the GeForce RTX 5090 to export video 60% faster than the GeForce RTX 4090 and at 4x speed compared with the GeForce RTX 3090. GeForce RTX 50 Series GPUs also feature the ninth-generation NVIDIA video encoder, NVENC, that offers a 5% improvement in video quality on HEVC and AV1 encoding (BD-BR), as well as a new AV1 Ultra Quality mode that achieves 5% more compression at the same quality. They also include the sixth-generation NVIDIA decoder, with 2x the decode speed for H.264 video. NVIDIA is collaborating with Adobe Premiere Pro, Blackmagic Design's DaVinci Resolve, Capcut and Wondershare Filmora to integrate these technologies, starting in February. 3D video is starting to catch on thanks to the growth of VR, AR and mixed reality headsets. The new RTX 50 Series GPUs also come with support for MV-HEVC codecs to unlock such formats in the near future. Livestreaming is a juggling act, where the streamer has to entertain the audience, produce a show and play a video game -- all at the same time. Top streamers can afford to hire producers and moderators to share the workload, but most have to manage these responsibilities on their own and often in long shifts -- until now. Streamlabs, a Logitech brand and leading provider of broadcasting software and tools for content creators, is collaborating with NVIDIA and Inworld AI to create the Streamlabs Intelligent Streaming Assistant. Streamlabs Intelligent Streaming Assistant is an AI agent that can act as a sidekick, producer and technical support. The sidekick that can join streams as a 3D avatar to answer questions, comment on gameplay or chats, or help initiate conversations during quiet periods. It can help produce streams, switching to the most relevant scenes and playing audio and video cues during interesting gameplay moments. It can even serve as an IT assistant that helps configure streams and troubleshoot issues. Streamlabs Intelligent Streaming Assistant is powered by NVIDIA ACE technologies for creating digital humans and Inworld AI, an AI framework for agentic AI experiences. The assistant will be available later this year. Millions have used the NVIDIA Broadcast app to turn offices and dorm rooms into home studios using AI-powered features that improve audio and video quality -- without needing expensive, specialized equipment. Two new AI-powered beta effects are being added to the NVIDIA Broadcast app. The first, Studio Voice, enhances the sound of a user's microphone to match that of a high-quality microphone. The other, Virtual Key Light, can relight a subject's face to deliver even coverage as if it were well-lit by two lights. Because they harness demanding AI models, these beta features are recommended for video conferencing or non-gaming livestreams using a GeForce RTX 5080 GPU or higher. NVIDIA is working to expand these features to more GeForce RTX GPUs in future updates. The NVIDIA Broadcast upgrade also includes an updated user interface that allows users to apply more effects simultaneously, as well as improvements to the background noise removal, virtual background and eye contact effects. The updated NVIDIA Broadcast app will be available in February. Livestreamers can also benefit from NVENC -- 5% BD-BR video quality improvement for HEVC and AV1 -- in the latest beta of Twitch's Enhanced Broadcast feature in OBS, and the improved AV1 encoder for streaming in Discord or YouTube. RTX Video -- an AI feature that enhances video playback on popular internet browsers like Google Chrome and Microsoft Edge, and locally with Video Super Resolution and HDR -- is getting an update to decrease GPU usage by 30%, expanding the lineup of GeForce RTX GPUs that can run Video Super Resolution with higher quality. The RTX Video update is slated for a future NVIDIA App release. The GeForce RTX 5090 GPU offers 32GB of GPU memory -- the largest of any GeForce RTX GPU ever, marking a 33% increase over the GeForce RTX 4090 GPU. This lets 3D artists build larger, richer worlds while using multiple applications simultaneously. Plus, new RTX 50 Series fourth-generation RT Cores can run 3D applications 40% faster. DLSS 4 debuts Multi Frame Generation to boost frame rates by using AI to generate up to three frames per rendered frame. This enables animators to smoothly navigate a scene with 4x as many frames, or render 3D content at 60 fps or more. D5 Render and Chaos Vantage, two popular professional-grade 3D apps for architects and designers, will add support for DLSS 4 in February. 3D artists have adopted generative AI to boost productivity in generating draft 3D meshes, HDRi maps or even animations to prototype a scene. At CES, Stability AI announced SPAR3D, its new 3D model that can generate 3D meshes from images in seconds with RTX acceleration. NVIDIA RTX Remix -- a modding platform that lets modders capture game assets, automatically enhance materials with generative AI tools and create stunning RTX remasters with full ray tracing -- supports DLSS 4, increasing graphical fidelity and frame rates to maximize realism and immersion during gameplay. RTX Remix soon plans to support Neural Radiance Cache, a neural shader that uses AI to train on live game data and estimate per-pixel accurate indirect lighting. RTX Remix creators can also expect access to RTX Skin in their mods, the first ray-traced sub-surface scattering implementation in games. With RTX Skin, RTX Remix mods expect to feature characters with new levels of realism, as light will reflect and propagate through their skin, grounding them in the worlds they inhabit. GeForce RTX 5090 and 5080 GPUs will be available for purchase starting Jan. 30 -- followed by GeForce RTX 5070 Ti and 5070 GPUs in February and RTX 50 Series laptops in March. All systems equipped with GeForce RTX GPUs include the NVIDIA Studio platform optimizations, with over 130 GPU-accelerated content creation apps, as well as NVIDIA Studio Drivers, tested extensively and released monthly to enhance performance and maximize stability in popular creative applications. Stay tuned for more updates on the GeForce RTX 50 Series. Learn more about how the GeForce RTX 50 Series supercharges gaming, and check out all of NVIDIA's announcements at CES.

Surprise! Nvidia's GeForce RTX 50-series GPUs cost less than you thought

It's official: Nvidia's next generation of gaming graphics is here, and friends, the GeForce RTX 50-series looks pretty compellingly priced on paper. Nvidia CEO Jensen Huang announced not just one, not two, but eight different GeForce RTX 50-series graphics cards powered by a new "Blackwell" GPU architecture during his CES 2025 keynote - four for desktop, and four for laptops, all compatible with a new DLSS 4 generation. The same GPUs were announced for both form factors: The GeForce RTX 5090, 5080, 5070 Ti, and 5070. It was a big difference from AMD's keynote, where RDNA 4 and the Radeon RX 9070 weren't even mentioned despite press receiving a high-level briefing. Let's start with Nvidia's hotly anticipated desktop graphics cards. They're actually cheaper than expected! I was convinced that the GeForce RTX 5090 would cost $2,500 or more based off the leaked specs. Well, Jensen didn't really get into product level specs, but at $1,999, it's a relative bargain (especially for AI researchers, if not necessarily gamers) if the rumors hold true. The theme goes down the line: At $999, the RTX 5080 costs $200 less than the 4080 did at launch (and the same as the RTX 4080 Super). At $749 and $549, the RTX 5070 Ti and RTX 5070 cost $50 less than their predecessors (though to be fair, I called the RTX 4070 Ti "hobbled and wildly overpriced"). Better yet, Jensen said that the RTX 5070 delivers RTX 4090-class performance for roughly a third of the price. If that's true in games and not just AI workloads or benchmarks, it's an exciting start to the new generation - but be warned that these starting prices for Nvidia's overhauled Founders Edition versions may not reflect the same price you'll see on custom third-party cards. Look for RTX 50-series graphics cards to start hitting the market later this January in some form. Nvidia didn't say which cards are launching when. Usually, Nvidia launches desktop GPUs well before their laptop counterparts, but not with the RTX 50-series! Well, kinda. They're launching in March, while the desktop cards launch this month, but Jensen revealed both onstage. Details were scant beyond what you see in the screenshot above. The GeForce RTX 5090 will be available in laptops starting at $2,899; the RTX 5080 in laptops starting at $2,199; the RTX 5070 Ti in laptops starting at $1,599; and the RTX 5070 in laptops starting at $1,299. Pay close attention to the cited AI TOPs under the model numbers for both the laptop and desktop GPUs, though. Laptop graphics tend to be cut-down from their desktop cousins, and the AI TOPS suggests that's the case with the RTX 50-series too. The RTX 5090 desktop card offers 3,400 AI TOPS while the laptop version hits 1,850 - about the same level as the desktop RTX 5080. (No surprise there, as the laptop 4090 is basically a desktop 4080 stuffed into a notebook.) The same trend continues down the laptop 50-series line. That's all well and good, but how do these puppies perform? Jensen didn't get into details on-stream, instead relaying some high-level tech Blackwell specs that matter more for AI researchers than gamers - AI TOPS, RT TFLOPS, "AI management processor," and the like. You can see it all in the screenshot above. On the plus side, at least some of Nvidia's RTX 50-series will include bleeding-edge GDDR7 memory, helping to deliver up to 1.8TB/s of memory bandwidth, or twice what was possible with its predecessor. It will also offer dual shaders for INT and floating point calculations (the big two for traditional gaming graphics), the ability to intermix GPU and AI workloads as needed, and programmable GPU shaders that can process neural network tasks. If it sounds like Nvidia is going all-in on AI, well, they have been for years. Haven't you seen DLSS and DLSS 3 Frame Gen? On that note, Jensen also teased DLSS 4, complete with "neural texture compression" and "neural materials" that reduce the need for traditional GPU rendering even further. Nvidia says that while DLSS 3 could inject AI-generated frames between every GPU-rendered frame, DLSS 4 can infer three full frames off of a single traditional frame. Hey, AI upscaling is killing native graphics, after all. Jensen said that a total of about 33 million pixels are generated for four frames of 4K imagery; with DLSS 4, that's still true, but the GPU is only rendering about two million of those, with AI doing the rest of the heavy lifting. Bonkers - and potentially very, very game changing if it works as advertised. That's a big if, though, and there are plenty of questions still swirling around the RTX 50-series' capabilities after Nvidia's detail-light keynote. Stay tuned to PCWorld (and PCWorld's YouTube channel!) for all the latest updates and news coming from CES 2025.

NVIDIA Launches AI Foundation Models for RTX AI PCs By Investing.com

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today announced foundation models running locally on NVIDIA RTX™ AI PCs that supercharge digital humans, content creation, productivity and development. These models " offered as NVIDIA NIM™ microservices " are accelerated by new GeForce RTX™ 50 Series GPUs, which feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM. Built on the NVIDIA Blackwell architecture, RTX 50 Series are the first consumer GPUs to add support for FP4 compute, boosting AI inference performance by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware. GeForce™ has long been a vital platform for AI developers. The first GPU-accelerated deep learning network, AlexNet, was trained on the GeForce GTX™ 580 in 2012 " and last year, over 30% of published AI research papers cited the use of GeForce RTX. Now, with generative AI and RTX AI PCs, anyone can be a developer. A new wave of low-code and no-code tools, such as AnythingLLM, ComfyUI, Langflow and LM Studio, enable enthusiasts to use AI models in complex workflows via simple graphical user interfaces. NIM microservices connected to these GUIs will make it effortless to access and deploy the latest generative AI models. NVIDIA AI Blueprints, built on NIM microservices, provide easy-to-use, preconfigured reference workflows for digital humans, content creation and more. To meet the growing demand from AI developers and enthusiasts, every top PC manufacturer and system builder is launching NIM-ready RTX AI PCs with GeForce RTX 50 Series GPUs. AI is advancing at light speed, from perception AI to generative AI and now agentic AI, said Jensen Huang, founder and CEO of NVIDIA. NIM microservices and AI Blueprints give PC developers and enthusiasts the building blocks to explore the magic of AI. Making AI NIMble Foundation models " neural networks trained on immense amounts of raw data " are the building blocks for generative AI. NVIDIA will release a pipeline of NIM microservices for RTX AI PCs from top model developers such as Black Forest Labs, Meta (NASDAQ:META), Mistral and Stability AI. Use cases span large language models (LLMs), vision language models, image generation, speech, embedding models for retrieval-augmented generation (RAG), PDF extraction and computer vision. GeForce RTX 50 Series GPUs with FP4 compute will unlock a massive range of models that can run on PC, which were previously limited to large data centers, said Robin Rombach, CEO of Black Forest Labs. Making FLUX an NVIDIA NIM microservice increases the rate at which AI can be deployed and experienced by more users, while delivering incredible performance. NVIDIA today also announced the Llama Nemotron family of open models that provide high accuracy on a wide range of agentic tasks. The Llama Nemotron Nano model will be offered as a NIM microservice for RTX AI PCs and workstations, and excels at agentic AI tasks like instruction following, function calling, chat, coding and math. NIM microservices include the key components for running AI on PCs and are optimized for deployment across NVIDIA GPUs " whether in RTX PCs and workstations or in the cloud. Developers and enthusiasts will be able to quickly download, set up and run these NIM microservices on Windows 11 PCs with Windows Subsystem for Linux (WSL). AI is driving Windows 11 PC innovation at a rapid rate, and Windows Subsystem for Linux (WSL) offers a great cross-platform environment for AI development on Windows 11 alongside Windows Copilot Runtime, said Pavan Davuluri, corporate vice president of Windows at Microsoft (NASDAQ:MSFT). NVIDIA NIM microservices, optimized for Windows PCs, give developers and enthusiasts ready-to-integrate AI models for their Windows apps, further accelerating deployment of AI capabilities to Windows users. The NIM microservices, running on RTX AI PCs, will be compatible with top AI development and agent frameworks, including AI Toolkit for VSCode, AnythingLLM, ComfyUI, CrewAI, Flowise AI, LangChain, Langflow and LM Studio. Developers can connect applications and workflows built on these frameworks to AI models running NIM microservices through industry-standard endpoints, enabling them to use the latest technology with a unified interface across the cloud, data centers, workstations and PCs. Enthusiasts will also be able to experience a range of NIM microservices using an upcoming release of the NVIDIA ChatRTX tech demo. Putting a Face on Agentic AI To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, NVIDIA today previewed Project R2X, a vision-enabled PC avatar that can put information at a user's fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more. The avatar is rendered using NVIDIA RTX Neural Faces, a new generative AI algorithm that augments traditional rasterization with entirely generated pixels. The face is then animated by a new diffusion-based NVIDIA Audio2Face™-3D model that improves lip and tongue movement. R2X can be connected to cloud AI services such as OpenAI's GPT4o and xAI's Grok, and NIM microservices and AI Blueprints, such as PDF retrievers or alternative LLMs, via developer frameworks such as CrewAI, Flowise AI and Langflow. Sign up for Project R2X updates. AI Blueprints Coming to PC NIM microservices are also available to PC users through AI Blueprints " reference AI workflows that can run locally on RTX PCs. With these blueprints, developers can create podcasts from PDF documents, generate stunning images guided by 3D scenes and more. The blueprint for PDF to podcast extracts text, images and tables from a PDF to create a podcast script that can be edited by users. It can also generate a full audio recording from the script using voices available in the blueprint or based on a user's voice sample. In addition, users can have a real-time conversation with the AI podcast host to learn more about specific topics. The blueprint uses NIM microservices like Mistral-Nemo-12B-Instruct for language, NVIDIA Riva for text-to-speech and automatic speech recognition, and the NeMo Retriever collection of microservices for PDF extraction. The AI Blueprint for 3D-guided generative AI gives artists finer control over image generation. While AI can generate amazing images from simple text prompts, controlling image composition using only words can be challenging. With this blueprint, creators can use simple 3D objects laid out in a 3D renderer like Blender to guide AI image generation. The artist can create 3D assets by hand or generate them using AI, place them in the scene and set the 3D viewport camera. Then, a prepackaged workflow powered by the FLUX NIM microservice will use the current composition to generate high-quality images that match the 3D scene. NVIDIA NIM microservices and AI Blueprints will be available starting in February with initial hardware support for GeForce RTX 50 Series, GeForce RTX 4090 and 4080, and NVIDIA RTX 6000 and 5000 professional GPUs. Additional GPUs will be supported in the future. NIM-ready RTX AI PCs will be available from Acer (TW:2353), ASUS, Dell (NYSE:DELL), GIGABYTE, HP (NYSE:HPQ), Lenovo, MSI, Razer and Samsung (KS:005930), and from local system builders Corsair, Falcon Northwest, LDLC, Maingear, Mifcon, Origin PC, PCS and Scan. Learn more about how NIM microservices, AI Blueprints and NIM-ready RTX AI PCs are accelerating generative AI by joining NVIDIA at CES. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Jordan Dodge NVIDIA Corporation (NASDAQ:NVDA) +1-408-566-6792 jdodge@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, and availability of our products, services, and technologies, including NVIDIA RTX AI PCs, GeForce RTX 50 Series GPUs, NVIDIA Blackwell architecture, GeForce GTX 580, Project R2X, NVIDIA ACE and NIM microservices, NVIDIA AI Blueprints, NVIDIA Grace Blackwell platform, Llama Nemotron, NVIDIA ChatRTX, NVIDIA RTX Neural Faces, NVIDIA Audio2Face-3D model, Mistral-Nemo-12B-Instruct for language, NVIDIA Riva, NeMo Retriever, FLUX NIM microservice, GeForce RTX 4090 and 4080, and NVIDIA RTX 6000 and 5000 professional GPUs third parties using or adopting NVIDIA's products and technologies, and the benefits and impact thereof; and AI advancing at light speed, from perception AI to generative AI and now agentic AI are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features, or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA, the NVIDIA logo, Audio2Face, GeForce, GeForce GTX, GeForce RTX, NVIDIA NIM and NVIDIA RTX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f27d7e96-dcae-467b-a5e5-adfdff0fd67d