NVIDIA Unveils AI Innovations for Retail, Robotics, and Autonomous Vehicles at CES 2025

NVIDIA Announces Blueprint for AI Retail Shopping Assistants By Investing.com

NEW YORK, Jan. 10, 2025 (GLOBE NEWSWIRE) -- NRF"NVIDIA today announced the NVIDIA AI Blueprint for retail shopping assistants, a generative AI reference workflow designed to transform shopping experiences online and in stores. The blueprint " built on the NVIDIA AI Enterprise and NVIDIA Omniverse™ platforms " helps developers create AI-powered digital assistants that work alongside and support human workers. These digital assistants can deliver the expertise of a company's best sales associate, stylist or designer, elevating customer satisfaction and workforce efficiency. Using NVIDIA NeMo™ microservices provided within the blueprint, these highly skilled AI shopping assistants can understand text- and image-based prompts, search for multiple items simultaneously, complete complicated tasks such as creating a travel wardrobe, and answer contextual questions like whether a product is waterproof. Developers can use the Omniverse platform in conjunction with a spatial-scanning solution to enable AI agents to present products in physically accurate virtual environments. For example, customers looking to buy a couch could preview how the furniture would look in their own living room. AI agents with advanced capabilities like these are designed to enhance customer experiences, drive higher conversion rates, lower product return rates and increase the average size of orders through highly intelligent, personalized suggestions of complementary products or upgrades. AI agents can elevate shopping experiences, turning what can be impersonal transactions into smarter, more enjoyable interactions, said Azita Martin, vice president of AI for retail, consumer packaged goods and quick-service restaurants at NVIDIA. Shoppers everywhere want intelligent product recommendations, personalized interactions and lightning-fast response times. AI agents built using the NVIDIA AI Blueprint for retail shopping assistants can deliver this kind of exceptional, always-on service to every customer. Accelerating Retail AI Assistant Development SoftServe, a leading IT advisor to some of the most recognizable brands worldwide, today announced its SoftServe Gen AI Shopping Assistant, developed using NVIDIA's shopping assistants blueprint in early access. The assistant can help browse product catalogs, search for items and access detailed product information quickly. A standout feature is its virtual try-on capability, allowing customers to visualize how products look on them directly through an online chat before making a purchase. Whether it's online, offline or hybrid shopping, retailers face challenges like purchase hesitation, costly returns and the need for personalized customer experiences, said Ivan Leshko, executive vice president North America at SoftServe. The NVIDIA AI Blueprint for retail shopping assistants enabled us to build a turnkey solution quickly so our retail customers can use AI to keep consumers engaged and drive higher conversion rates. NVIDIA AI Drives Business Impact, Enhanced Customer Experience With AI shopping assistants, retailers can deliver more engaging customer interactions, around the clock and across the world. NVIDIA's retail shopping assistant blueprint features NVIDIA AI Enterprise software, including NVIDIA NIM™ microservices for Meta (NASDAQ:META) Llama 3.3 70B and NVIDIA NeMo Retriever embedding and reranking microservices, to deliver AI performance at scale. It also includes NVIDIA NeMo Guardrails safety features, as well as NVIDIA Omniverse for design and visualization capabilities. Key features of the blueprint include: The shopping assistant blueprint is the latest addition to a growing repository of NVIDIA AI Blueprints, many announced at CES earlier this week. This includes a new version of the NVIDIA AI Blueprint for video search and summarization that helps retailers build video analytics AI agents that can analyze large volumes of live and archived content to boost operational efficiency and safety. Bringing Retail Shopping Assistants to Retailers Worldwide NVIDIA's global network of partners is leveraging the fundamental technologies of the shopping assistant blueprint to develop and deploy innovative solutions for the $30 trillion retail industry. According to eMarketer, the industry is projected to grow to $35 trillion by 2028, representing significant opportunities for transformation and growth. In addition to SoftServe, NVIDIA partners Dell Technologies (NYSE:DELL) and World Wide Technology (WWT) will use the blueprint in early access to make it easier for retailers to adopt AI. Retail leaders harnessing AI-powered personalization are creating unprecedented competitive advantages in today's digital-first marketplace, said Adam Dumey, global vice president of retail at WWT. We're excited to leverage this new retail shopping assistant blueprint from NVIDIA to bring the full force of our nearly $1 billion investment in our Advanced Technology Center and AI Proving Ground " along with our expert team of data scientists, retail consultants and AI architects " to help our retail customers accelerate their AI transformation. Availability The NVIDIA AI Blueprint for retail shopping assistants is now available in early access. Developers can sign up to be notified when the blueprint is generally available. Join NVIDIA at NRF: Retail's Big Show, running Jan. 12-14, to learn more about how retailers are using AI shopping assistants to advance the industry. Visit Dell Technologies' (5721) and Supermicro's (3165) booths on level three to meet with NVIDIA AI experts and explore live shopping assistant demos. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Kristin Bryson Enterprise Communications NVIDIA Corporation (NASDAQ:NVDA) +1-203-241-9190 [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA's products, services, and technologies, including NVIDIA AI Blueprint, NVIDIA AI Enterprise platform, NVIDIA NeMo microservices, NVIDIA Omniverse platform, NVIDIA AI Enterprise software, NVIDIA NIM microservices, NVIDIA NeMo Retriever, NVIDIA NeMo Guardrails, and NVIDIA Llama Nemotron large language models; the benefits of AI agents with advanced capabilities; third parties adopting our products and technologies, the benefits and impact thereof, and the features and performance of their offerings; AI agents elevating shopping experiences from depersonalized transactions into smarter, more enjoyable interactions; providing intelligent product recommendations, personalized interactions, lightning-fast response times and more, AI agents built using the NVIDIA AI Blueprint for retail shopping assistants being able to deliver exceptional, always-on service to every customer; with AI shopping assistants, retailers being able to deliver more engaging customer interactions around the clock, across every region of the world; the global $30 trillion retail industry being predicted to grow to $35 trillion by the end of 2028; and the benefits of our partnership with third parties 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 NeMo, NVIDIA NIM, NVIDIA Omniverse 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/5400c0a5-0793-447a-a009-a4f5ff30ab59

NVIDIA Expands Omniverse With Generative Physical AI - NVIDIA (NASDAQ:NVDA)

* New Models, Including Cosmos World Foundation Models, and Omniverse Mega Factory and Robotic Digital Twin Blueprint Lay the Foundation for Industrial AI * Leading Developers Accenture, Altair, Ansys, Cadence, Microsoft and Siemens Among First to Adopt Platform Libraries LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today announced generative AI models and blueprints that expand NVIDIA Omniverse™ integration further into physical AI applications such as robotics, autonomous vehicles and vision AI. Global leaders in software development and professional services are using Omniverse to develop new products and services that will accelerate the next era of industrial AI. Accenture, Altair, Ansys, Cadence, Foretellix, Microsoft and Neural Concept are among the first to integrate Omniverse into their next-generation software products and professional services. Siemens, a leader in industrial automation, announced today at the CES trade show the availability of Teamcenter Digital Reality Viewer -- the first Siemens Xcelerator application powered by NVIDIA Omniverse libraries. "Physical AI will revolutionize the $50 trillion manufacturing and logistics industries. Everything that moves -- from cars and trucks to factories and warehouses -- will be robotic and embodied by AI," said Jensen Huang, founder and CEO at NVIDIA. "NVIDIA's Omniverse digital twin operating system and Cosmos physical AI serve as the foundational libraries for digitalizing the world's physical industries." New Models and Frameworks Accelerate World Building for Physical AI Creating 3D worlds for physical AI simulation requires three steps: world building, labeling the world with physical attributes and making it photoreal. NVIDIA offers generative AI models that accelerate each step. The USD Code and USD Search NVIDIA NIM™ microservices are now generally available, letting developers use text prompts to generate or search for OpenUSD assets. A new NVIDIA Edify SimReady generative AI model unveiled today can automatically label existing 3D assets with attributes like physics or materials, enabling developers to process 1,000 3D objects in minutes instead of over 40 hours manually. NVIDIA Omniverse, paired with new NVIDIA Cosmos™ world foundation models, creates a synthetic data multiplication engine -- letting developers easily generate massive amounts of controllable, photoreal synthetic data. Developers can compose 3D scenarios in Omniverse and render images or videos as outputs. These can then be used with text prompts to condition Cosmos models to generate countless synthetic virtual environments for physical AI training. NVIDIA Omniverse Blueprints Speed Up Industrial, Robotic Workflows During the CES keynote, NVIDIA also announced four new blueprints that make it easier for developers to build Universal Scene Description (OpenUSD)-based Omniverse digital twins for physical AI. The blueprints include: Mega, powered by Omniverse Sensor RTX APIs, for developing and testing robot fleets at scale in an industrial factory or warehouse digital twin before deployment in real-world facilities.Autonomous Vehicle (AV) Simulation, also powered by Omniverse Sensor RTX APIs, that lets AV developers replay driving data, generate new ground-truth data and perform closed-loop testing to accelerate their development pipelines.Omniverse Spatial Streaming to Apple Vision Pro that helps developers create applications for immersive streaming of large-scale industrial digital twins to Apple Vision Pro.Real-Time Digital Twins for Computer Aided Engineering (CAE), a reference workflow built on NVIDIA CUDA-X™ acceleration, physics AI and Omniverse libraries that enables real-time physics visualization. New free Learn OpenUSD courses are also now available to help developers build OpenUSD-based worlds faster than ever. Market Leaders Supercharge Industrial AI Using NVIDIA Omniverse Global leaders in software development and professional services are using Omniverse to develop new products and services that are poised to accelerate the next era of industrial AI. Building on its adoption of Omniverse libraries in its Reality Digital Twin data center digital twin platform, Cadence, a leader in electronic systems design, announced further integration of Omniverse into Allegro, its leading electronic computer-aided design application used by the world's largest semiconductor companies. Altair, a leader in computational intelligence, is adopting the Omniverse blueprint for real-time CAE digital twins for interactive computational fluid dynamics (CFD). Ansys is adopting Omniverse into Ansys Fluent, a leading CAE application. And Neural Concept is integrating Omniverse libraries into its next-generation software products, enabling real-time CFD and enhancing engineering workflows. Accenture, a leading global professional services company, is using Mega to help German supply chain solutions leader KION by building next-generation autonomous warehouses and robotic fleets for their network of global warehousing and distribution customers. AV toolchain provider Foretellix, a leader in data-driven autonomy development, is using the AV simulation blueprint to enable full 3D sensor simulation for optimized AV testing and validation. Research organization MITRE is also deploying the blueprint, in collaboration with the University of Michigan's Mcity testing facility, to create an industry-wide AV validation platform. Katana Studio is using the Omniverse spatial streaming workflow to create custom car configurators for Nissan and Volkswagen, allowing them to design and review car models in an immersive experience while improving the customer decision-making process. Innoactive, an XR streaming platform for enterprises, used the workflow to add platform support for spatial streaming to Apple Vision Pro. The solution enables Volkswagen Group to conduct design and engineering project reviews at human-eye resolution. Innoactive also collaborated with Syntegon, a provider of processing and packaging technology solutions for pharmaceutical production, to enable Syntegon's customers to walk through and review digital twins of custom installations before they are built. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Quentin Nolibois NVIDIA Corporation +1 415-741-8356 [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA's products, services, and technologies, including NVIDIA Omniverse, NVIDIA NIM microservices, NVIDIA Edify SimReady generative AI model, NVIDIA Cosmos world foundation models, NVIDIA CUDA-X, and NVIDIA Blueprints including Mega, Autonomous Vehicle (AV) Simulation, Omniverse Spatial Streaming to Apple Vision Pro, and Real-Time Digital Twins for Computer-Aided Engineering (CAE); third parties using or adopting NVIDIA's products and technologies, the benefits and impact thereof, and the features, performance and availability of their offerings; physical AI revolutionizing the $50 trillion manufacturing and logistics industries; and everything that moves -- from cars and trucks to factories and warehouses -- being robotic and embodied by 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, CUDA-X, NVIDIA Cosmos, NVIDIA NIM and NVIDIA Omniverse 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/dc523eba-bedc-4b11-aa7c-f255d74bad6a NVDANVIDIA Corp$152.281.91%Overview Rating:Good75%Technicals Analysis1000100Financials Analysis600100WatchlistOverviewMarket News and Data brought to you by Benzinga APIs

NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development By Investing.com

Global Physical AI Leaders 1X, Agile Robots, Agility, Figure AI, Foretellix, Uber (NYSE:UBER), Waabi and XPENG Among First to Adopt LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES" NVIDIA today announced NVIDIA Cosmos™, a platform comprising state-of-the-art generative world foundation models, advanced tokenizers, guardrails and an accelerated video processing pipeline built to advance the development of physical AI systems such as autonomous vehicles (AVs) and robots. Physical AI models are costly to develop, and require vast amounts of real-world data and testing. Cosmos world foundation models, or WFMs, offer developers an easy way to generate massive amounts of photoreal, physics-based synthetic data to train and evaluate their existing models. Developers can also build custom models by fine-tuning Cosmos WFMs. Cosmos models will be available under an open model license to accelerate the work of the robotics and AV community. Developers can preview the first models on the NVIDIA API catalog, or download the family of models and fine-tuning framework from the NVIDIA NGC™ catalog or Hugging Face. Leading robotics and automotive companies, including 1X, Agile Robots, Agility, Figure AI, Foretellix, Fourier, Galbot, Hillbot, IntBot, Neura Robotics, Skild AI, Virtual Incision, Waabi and XPENG, along with ridesharing giant Uber, are among the first to adopt Cosmos. The ChatGPT moment for robotics is coming. Like large language models, world foundation models are fundamental to advancing robot and AV development, yet not all developers have the expertise and resources to train their own, said Jensen Huang, founder and CEO of NVIDIA. We created Cosmos to democratize physical AI and put general robotics in reach of every developer. Open World Foundation Models to Accelerate the Next (LON:NXT) Wave of AI NVIDIA Cosmos' suite of open models means developers can customize the WFMs with datasets, such as video recordings of AV trips or robots navigating a warehouse, according to the needs of their target application. Cosmos WFMs are purpose-built for physical AI research and development, and can generate physics-based videos from a combination of inputs, like text, image and video, as well as robot sensor or motion data. The models are built for physically based interactions, object permanence, and high-quality generation of simulated industrial environments " like warehouses or factories " and of driving environments, including various road conditions. In his opening keynote at CES, NVIDIA founder and CEO Jensen Huang showcased ways physical AI developers can use Cosmos models, including for: Advanced World Model Development Tools Building physical AI models requires petabytes of video data and tens of thousands of compute hours to process, curate and label that data. To help save enormous costs in data curation, training and model customization, Cosmos features: World's Largest Physical AI Industries Adopt Cosmos Pioneers across the physical AI industry are already adopting Cosmos technologies. 1X, an AI and humanoid robot company, launched the 1X World Model Challenge dataset using Cosmos Tokenizer. XPENG will use Cosmos to accelerate the development of its humanoid robot. And Hillbot and Skild AI are using Cosmos to fast-track the development of their general-purpose robots. Data scarcity and variability are key challenges to successful learning in robot environments, said Pras Velagapudi, chief technology officer at Agility. Cosmos' text-, image- and video-to-world capabilities allow us to generate and augment photorealistic scenarios for a variety of tasks that we can use to train models without needing as much expensive, real-world data capture. Transportation leaders are also using Cosmos to build physical AI for AVs: Generative AI will power the future of mobility, requiring both rich data and very powerful compute, said Dara Khosrowshahi, CEO of Uber. By working with NVIDIA, we are confident that we can help supercharge the timeline for safe and scalable autonomous driving solutions for the industry. Developing Open, Safe and Responsible AI NVIDIA Cosmos was developed in line with NVIDIA's trustworthy AI principles, which prioritize privacy, safety, security, transparency and reducing unwanted bias. Trustworthy AI is essential for fostering innovation within the developer community and maintaining user trust. NVIDIA is committed to safe and trustworthy AI, in line with the White House's voluntary AI commitments and other global AI safety initiatives. The open Cosmos platform includes guardrails designed to mitigate harmful text and images, and features a tool to enhance text prompts for accuracy. Videos generated with Cosmos autoregressive and diffusion models on the NVIDIA API catalog include invisible watermarks to identify AI-generated content, helping reduce the chances of misinformation and misattribution. NVIDIA encourages developers to adopt trustworthy AI practices and further enhance guardrail and watermarking solutions for their applications. Availability Cosmos WFMs are now available under NVIDIA's open model license on Hugging Face and the NVIDIA NGC catalog. Cosmos models will soon be available as fully optimized NVIDIA NIM microservices. Developers can access NVIDIA NeMo Curator for accelerated video processing and customize their own world models with NVIDIA NeMo. NVIDIA DGX Cloud offers a fast and easy way to deploy these models, with enterprise support available through the NVIDIA AI Enterprise software platform. NVIDIA also announced new NVIDIA Llama Nemotron large language models and NVIDIA Cosmos Nemotron vision language models that developers can use for enterprise AI use cases in healthcare, financial services, manufacturing and more. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Janette Ciborowski Corporate Communications NVIDIA Corporation (NASDAQ:NVDA) +1-734-330-8817 [email protected] 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 NVIDIA Cosmos, NVIDIA API catalog, NVIDIA Omniverse platform, NVIDIA AI, NVIDIA CUDA, NVIDIA NeMo Curator, NVIDIA Blackwell platform, NVIDIA Cosmos Tokenizer, NVIDIA NeMo framework, NVIDIA DGX Cloud, and NVIDIA AI Enterprise software platform; third parties adopting NVIDIA's products and technologies, and the benefit and impact thereof; and the ChatGPT moment for robotics coming 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, CUDA, DGX, NGC, NVIDIA Cosmos, NVIDIA NeMo, and NVIDIA Omniverse 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/dad0b003-c5f0-4438-8cee-8e243b809bc7

NVIDIA launches AI models for industrial robotics and automation By Investing.com

LAS VEGAS - NVIDIA Corp (NASDAQ: NASDAQ:NVDA), a dominant force in the semiconductor industry with over $113 billion in revenue, announced the release of new generative artificial intelligence (AI) models and blueprints to enhance its Omniverse platform, aimed at advancing robotics, autonomous vehicles, and vision AI applications. These innovations were revealed at the Consumer Electronics Show (CES) on Monday. According to InvestingPro data, NVIDIA maintains impressive gross profit margins of 76% and has achieved a perfect Piotroski Score of 9, indicating exceptional financial strength. The company introduced generative AI models that streamline the creation of 3D worlds for physical AI simulation, which is essential for the development of AI in robotics and autonomous systems. NVIDIA's Omniverse platform, paired with the new Cosmos world foundation models, now allows developers to generate large volumes of synthetic data for AI training. In addition, NVIDIA announced four new Omniverse blueprints to simplify the development of digital twins, which are virtual replicas of physical entities and processes. The blueprints cater to various industrial and robotic workflows, including the Mega blueprint for robot fleet development in industrial settings, and the Autonomous Vehicle (AV) Simulation for enhancing AV development pipelines. Notable companies including Accenture (NYSE:ACN), Altair, Ansys (NASDAQ:ANSS), Cadence, Foretellix, Microsoft (NASDAQ:MSFT), and Siemens (ETR:SIEGn) have already begun integrating Omniverse into their software products and services. Siemens introduced the Teamcenter Digital Reality Viewer, the first application powered by NVIDIA Omniverse libraries, to facilitate the visualization of digital twins. With 34 analysts recently revising earnings estimates upward and maintaining a strong buy consensus, NVIDIA's market leadership appears well-positioned. For comprehensive analysis and additional insights, investors can access detailed research reports on InvestingPro, which offers over 20 exclusive ProTips and extensive financial metrics. NVIDIA's CEO Jensen Huang emphasized the transformative potential of physical AI for the manufacturing and logistics industries, which are valued at $50 trillion. He projected that all mobile machines, from vehicles to industrial equipment, will eventually be AI-driven and robotic. The company also announced free Learn OpenUSD courses to assist developers in building OpenUSD-based worlds more efficiently. This initiative complements the adoption of Omniverse by industry leaders for various applications, including autonomous warehouse development, AV testing and validation, and immersive design reviews. This release is based on a press release statement from NVIDIA. The company's forward-looking statements are subject to risks and uncertainties and reflect expectations as of the date of the release, without any commitment to update these statements in light of subsequent events or changes in circumstances. Based on InvestingPro's Fair Value analysis, NVIDIA currently appears to be trading above its calculated Fair Value, though the company maintains strong fundamentals with a current ratio of 4.1 and moderate debt levels. In other recent news, NVIDIA has been in the spotlight for several significant developments. BofA Securities has retained a Buy rating for NVIDIA, highlighting the company's continued dominance and growth opportunities in emerging markets. The semiconductor giant has demonstrated robust growth, with revenue surging 152% year-over-year. The company's server assembly partner, Foxconn (SS:601138), reported a 15% revenue increase, exceeding expectations due to sustained demand for AI infrastructure. In a partnership with Arbe Robotics, NVIDIA aims to enhance automotive free space mapping and AI-driven capabilities, integrating Arbe's ultra-high-definition radar technology with NVIDIA's in-vehicle computing platform. Furthermore, NVIDIA's CEO, Jensen Huang, is set to deliver a keynote speech at the 2025 Consumer Electronics Show, with the presentation expected to underscore the role of NVIDIA's innovative technology in powering artificial intelligence, which is predicted to fuel broader market growth. Lastly, two U.S. senators have challenged the Biden administration's plan to limit the number of AI chips that companies can install in computing facilities in certain countries, warning that the proposed restrictions could significantly impede the sale of U.S. technology overseas and potentially drive foreign buyers towards Chinese competitors. All these recent developments signify NVIDIA's strategic direction and product pipeline, as well as its potential in high-growth markets, from gaming to data centers and AI technologies.

NVIDIA DRIVE Hyperion Platform Achieves Critical Automotive Safety and Cybersecurity Milestones for AV Development - NVIDIA (NASDAQ:NVDA)

LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- CES -- NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland -- two of the industry's foremost authorities for automotive-grade safety and cybersecurity. This achievement raises the bar for AV safety, innovation and performance. DRIVE Hyperion™ is the industry's first and only end-to-end autonomous driving platform. It includes the DRIVE AGX™ system-on-a-chip (SoC) and reference board design, the NVIDIA DriveOS automotive operating system, a sensor suite, and an active safety and level 2+ driving stack. Automotive safety pioneers such as Mercedes-Benz, JLR and Volvo Cars are adopting the platform, which is designed to be modular, so customers can easily use what they need. It is also scalable and built to be upgradeable and compatible across future DRIVE SoC generations. Available in the first half of this year, the latest iteration of DRIVE Hyperion -- designed for both passenger and commercial vehicles -- will feature the high-performance DRIVE AGX Thor SoC built on the NVIDIA Blackwell architecture. "A billion vehicles driving trillions of miles each year move the world. With autonomous vehicles -- one of the largest robotics markets -- now here, the NVIDIA Blackwell-powered platform will shift this revolution into high gear," said Jensen Huang, founder and CEO of NVIDIA. "The next wave of autonomous machines will rely on physical AI world foundation models to understand and interact with the real world, and NVIDIA DRIVE is purpose-built for this new era, delivering unmatched functional safety and AI." Driving Safety Forward: Certified Assurance for Next-Gen Vehicles Next-generation vehicles will be increasingly software-defined, capable of receiving new features and functionality over their lifetime. Tapping into NVIDIA's 15,000 engineering years invested in vehicle safety, DRIVE Hyperion will help ensure advanced automotive systems with rich, AI-based functionalities are compliant with the automotive industry's stringent functional safety and cybersecurity standards. NVIDIA recently received safety certifications and assessments from accredited third parties, including: TÜV SÜD, which granted the ISO 21434 Cybersecurity Process certification to NVIDIA for automotive SoC, platform and software engineering processes. Additionally, NVIDIA DriveOS 6.0 conforms to ISO 26262 Automotive Safety Integrity Level (ASIL) D standards, pending certification release.TÜV Rheinland, which performed an independent United Nations Economic Commission for Europe (UNECE) safety assessment of NVIDIA DRIVE AV related to safety requirements for complex electronic systems. In addition, NVIDIA is now accredited by the ANSI National Accreditation Board (ANAB) to provide safety and cybersecurity inspections for NVIDIA DRIVE™ ecosystem partners. The new NVIDIA DRIVE AI Systems Inspection Lab will help the NVIDIA DRIVE automotive ecosystem build autonomous driving software that meets the industry's evolving safety and AI standards. NVIDIA is the first platform company to receive a comprehensive set of third-party assessments for its automotive technologies -- including the NVIDIA DRIVE end-to-end self-driving platform, spanning SoC, OS, sensor architecture and level 2+ application software -- as well as independent accreditation as an AI systems safety and cybersecurity inspection lab for the automotive market. Intelligence Powered by Industry-Leading Compute NVIDIA DRIVE Thor, the core computer for DRIVE Hyperion, is the successor to the production-proven NVIDIA DRIVE Orin™. Its architecture compatibility and scalability means developers can use existing software from earlier DRIVE product generations, as well as integrate future updates, to achieve seamless development pipelines. DRIVE Thor is based on the NVIDIA Blackwell architecture and is optimized for the most demanding processing workloads, including those involving generative AI, vision language models and large language models. Its simplified architecture enhances generalization, reduces latency and boosts safety by harnessing powerful NVIDIA accelerated computing to run the end-to-end AV stack and a proven safety stack in parallel. DRIVE Thor paves the way for the next era of AV technology, known as AV 2.0, which involves delivering humanlike autonomous driving capabilities for navigating the most complex roadway scenarios. In addition to the DRIVE AGX in-vehicle computer, two other NVIDIA computers serve as the foundation for automotive-grade AV development: NVIDIA DGX™ systems for training advanced AI models and building a robust AV software stack in the cloud, and the NVIDIA Omniverse™ platform running on NVIDIA OVX™ systems for simulation and validation. These three computers, now enhanced with the new NVIDIA Cosmos™ world foundation model platform, are set to accelerate end-to-end AV development and mass deployment. To learn more about NVIDIA's three-computer approach to automotive development and the Cosmos world foundation model platform along with other automotive news, tune in to Huang's CES opening keynote. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Marie Labrie Automotive NVIDIA Corporation [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA's products, services, and technologies, including NVIDIA DRIVE AGX Hyperion, NVIDIA DriveOS automotive operating system, NVIDIA DRIVE AI Systems Inspection Lab, DRIVE Thor, DRIVE Orin, NVIDIA Blackwell architecture, NVIDIA DGX systems, NVIDIA Omniverse platform, NVIDIA OVX systems, and NVIDIA Cosmos; third parties adopting NVIDIA's products and technologies; with autonomous vehicles -- one of the largest robotics markets -- now here, the NVIDIA Blackwell-powered platform shifting this revolution into high gear; the next wave of autonomous machines relying on physical AI world foundation models to understand and interact with the real world; NVIDIA DRIVE delivering unmatched functional safety and AI; next-generation vehicles being increasingly software-defined, capable of receiving new features and functionality over their lifetime 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 Cosmos, NVIDIA DGX, NVIDIA DRIVE, NVIDIA DRIVE AGX, NVIDIA DRIVE AGX Hyperion, NVIDIA DRIVE AGX Thor, NVIDIA DRIVE Hyperion, NVIDIA DRIVE Orin, NVIDIA DRIVE Thor, NVIDIA Omniverse and NVIDIA OVX 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/86e6d016-126f-447f-a3d2-326b27185d5c NVDANVIDIA Corp$152.281.91%Overview Rating:Good75%Technicals Analysis1000100Financials Analysis600100WatchlistOverviewMarket News and Data brought to you by Benzinga APIs