NVIDIA Unveils Jetson AGX Thor: A Powerful AI 'Brain' for Next-Generation Robotics

The next wave of physical AI arrives as Nvidia reveals Jetson Thor chip built to transform robots from factories to hospitals

Nvidia Jetson Thor offers 2,070 FP4 teraflops within a 130-watt power envelope Nvidia has released the Jetson AGX Thor developer kit, calling it the next step toward robotics systems which can function in real time. The system, built on the Blackwell GPU line, is framed as a platform for "physical AI" and advanced robotic functions across manufacturing, logistics, healthcare, farming, retail, and transport. Nvidia says it can deliver up to 7.5 times more AI compute and over three times the energy efficiency of its Jetson Orin line, which has been in wide use since 2022. Nvidia went on to describe Jetson Thor as "the ultimate supercomputer to drive the age of physical AI and general robotics." "We've built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world," said Jensen Huang, founder and CEO of Nvidia. "With unmatched performance and energy efficiency, and the ability to run multiple generative AI models at the edge, Jetson Thor is the ultimate supercomputer to drive the age of physical AI and general robotics." With a quoted figure of 2,070 FP4 teraflops in a 130-watt envelope, it is positioned as powerful enough to run multiple generative models at once. It supports vision-language-action models like Isaac GR00T N1.5, along with other LLM systems. The device also integrates 128GB of memory, which is expected to make it capable of handling larger AI workflows at the edge. Several robotics players are already listed as early adopters, including Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Hexagon, and Medtronic. Meta has also been named as an early partner, while companies such as John Deere, OpenAI, and Physical Intelligence are said to be testing the system. "Nvidia Jetson Thor offers the computational horsepower and energy efficiency necessary to develop and scale the next generation of AI-powered robots that can operate safely and effectively in dynamic, real-world environments, transforming how we move and manage goods globally," said Tye Brady, chief technologist at Amazon Robotics. Nvidia notes more than two million developers already use its robotics stack, with over 7,000 customers having deployed Jetson Orin hardware in edge AI projects. Jetson Thor runs on the Nvidia Jetson software platform, which is designed to support multiple AI tools at once. The package integrates with Nvidia Isaac for simulation, Metropolis for vision AI, and Holoscan for real-time sensor processing. This arrangement is intended to allow one system-on-module to support many AI writer models and workflows, rather than requiring several separate chips. The developer kit is available now at $3,499 and the production systems, including carrier boards, will be distributed worldwide through its partners.

Nvidia's new Jetson kit packs raw compute, advanced networking, and expansion options into a design almost taunting consumer business PC norms

T4000 is positioned as a lighter, cost-efficient alternative option Nvidia has expanded its Jetson lineup with the Jetson AGX Thor Developer Kit, a compact platform that carries the new Jetson T5000 system-on-module. Marketed as a developer system, the dimensions and form factor place it firmly in the realm of a mini PC, although its design and purpose align more with edge AI deployment than home computing. Nvidia says the Jetson T5000 delivers "2070 TFLOPS (FP4, Sparse)," made possible by its 2560-core GPU based on the Blackwell architecture, with 96 fifth-generation Tensor Cores and Multi-Instance GPU features. This system is paired with a 14-core Arm Neoverse-V3AE CPU and 128GB of LPDDR5X memory. Networking is handled by four 25GbE connections, with support for NVMe storage through PCIe. The Jetson AGX Thor kit includes video encode and decode support across multiple 4K and 8K streams. There is also a lower-end option, the Jetson T4000, which is still in development, but early specifications list "1200 TFLOPS (FP4, Sparse)" performance, a 1536-core GPU, and 64GB of memory. Both modules operate across a wide power range, with the T5000 rated between 40 and 130 watts and the T4000 between 40 and 75 watts. This device is designed to provide researchers and engineers with a complete platform for testing robotics and edge workloads. For connectivity, it ships with a reference carrier board equipped with a WiFi 6E module, 1TB NVMe SSD, and standard debugging interfaces. Networking includes a QSFP28 interface with four 25GbE channels and a 5GbE RJ45 connector, highlighting its focus on sensor-heavy applications. The kit also supports expansion through M.2 slots and offers HDMI 2.0b and DisplayPort 1.4a outputs, along with multiple USB ports. Its physical dimensions are 243.19 x 112.4 x 56.88 mm, making it larger than a business PC but still compact compared with most workstation PC designs. Nvidia positions this release alongside earlier initiatives such as the DGX Spark, which was presented as a desktop AI development platform. The Jetson AGX Thor differs by targeting humanoid robotics, visual AI systems, and sensor integration, supported by the company's Isaac, Metropolis, and Holoscan software frameworks. The Jetson AGX Thor Developer Kit is listed at $3,499 and is available for pre-order from selected distributors, with shipments expected to begin on November 20, 2025.

Nvidia's new $3,500 AI 'brain' is poised to supercharge automation -- and could give rise to what Jensen Huang calls the final phase of AI

When Nvidia CEO Jensen Huang delivered the keynote address at the company's annual GTC conference in March, he outlined the "four waves" of the AI revolution: perception AI was the first wave, which started about 10 years ago and focused on recognizing speech and classifying images. Generative AI, the second wave that's dominated the past five years and characterized by large-language models like ChatGPT, creates text and images based on predictive patterns. The current wave we're in, agentic AI, allows for models to reason and perform tasks independently. But the next and final wave, according to Huang, will be "physical AI," where AI is integrated into real-world applications and advanced automation systems, including human-like robots. On Monday, Nvidia brought Huang one step closer to making that fourth wave a reality. The company announced a new "brain" for robots: a $3,499 developer kit that starts shipping next month. The company's stock rose slightly on the news, and has leaped higher as of Tuesday morning. Powered by the company's top-end Blackwell chips, which are sought-after by most countries trying to build AI at scale, Nvidia says Jetson Thor promises "unmatched performance and scalability" to deliver a massive amount of power needed to run generative AI models. Compared to this chip's predecessor, Jetson Thor "provides up to 7.5x higher AI compute and 3.5x better energy efficiency," according to the company. The entire system is pitched as a foundation for robots that can perceive their surroundings and respond in real time, a capability Nvidia frames as essential for the next leg of AI adoption in the physical world. Jetson Thor is a compact computer designed to sit inside a robot and run multiple AI models at once -- seeing, understanding, and acting without round trips to the cloud. In plain terms, it's like putting a seasoned foreman, safety officer, and navigator into the same hard hat, so the machine can recognize a loose cable, reroute around a spill, and still keep working. Nvidia's argument is that Thor's combination of on-board power and software lets a robot handle many senses and skills simultaneously -- like a driver checking mirrors, listening for a siren, and changing lanes -- without lag, which should translate into smoother movement, faster decisions, and reliable operation under pressure. Nvidia is busy extending its AI franchise from servers that train chatbots to the bleeding edge where AI must interact with the messy physical world. If successful, this broadens Nvidia's total addressable market into logistics, manufacturing, healthcare, construction, retail, and autonomous systems -- sectors that prize uptime and safety. In its announcement post, Nvidia highlighted early adopters and evaluators across blue-chip names in e-commerce, industrials, and tech, suggesting near-term pilots that could convert into volume orders if returns pencil out. For people and engineers actually working in robotics, Nvidia's pitch boils down to fewer pauses and fewer mistakes: Thor enables robots to react in milliseconds, the difference between dropping a package and catching it, or between bumping a pallet and steering around it. That responsiveness matters because every second saved compounds across thousands of picks, scans, or steps, and because safety incidents are expensive and disruptive. Nvidia also emphasizes power efficiency and the ability to run several AI tasks at once, which can reduce the number of computers per robot and simplify system design. Nvidia says established robotics companies and large enterprises are adopting Jetson Thor now, with a developer ecosystem built around its Isaac tools to speed prototyping and deployment. For business leaders, the near-term takeaway is that trials can start with the developer kit, then scale via production modules if pilots show efficiency or safety gains. The longer-term story is Nvidia's push to make robots as common -- and as dependable -- as other capital equipment, with AI handled locally to keep them fast, capable, and controllable.

NVIDIA's 'Robot Brain' with Real-Time Reasoning Available for $3,499 | AIM

Jetson Thor, powered by Blackwell, offers up to 7.5 times more AI compute and 3.5 times greater energy efficiency than its predecessor, Jetson Orin. NVIDIA has announced the global availability of its Jetson AGX Thor developer kit and production modules, robotics computers designed to support industries such as manufacturing, logistics, transport, healthcare, agriculture and retail. The new system is powered by NVIDIA's Blackwell GPU and offers up to 7.5 times more AI compute and 3.5 times greater energy efficiency than its predecessor, Jetson Orin. It is designed to enable robots to carry out real-time reasoning and interactions with people and the physical world. In an introductory video, Huang is seen writing a note for a gift box. It says, "To robot, enjoy your new brain!" "We've built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physica

NVIDIA silently launches record-breaking mini PC, flexing a tiny compact powerhouse

TL;DR: NVIDIA's Jetson AGX Thor Developer Kit is the fastest mini PC in its Jetson lineup, delivering 2070 TFLOPS with a Blackwell-based GPU and 14-core Arm CPU. Designed for AI, robotics, and edge computing, it features 128GB LPDDR5X, multi-4K/8K video support, and starts at $3,499, shipping November 2025. NVIDIA has just unveiled what it says is the fastest mini PC it has ever released. Introducing the Jetson AGX Thor Developer Kit, a mini PC capable of 2070 TFLOPS. Team Green has added one more model to its expanding Jetson lineup of consumer-facing AI PCs, with the new system, called the Jetson AGX Thor Developer kit, which comes with the Jetson T5000 system-on-module (SoM), which is built on NVIDIA's latest Blackwell architecture. NVIDIA is aiming the mini PC directly at developers working in robotics, engineering, and other various edge workloads. As for the Jetson T5000 SoM, the 2070 TFLOPS of performance can be attributed to the 2560-core Blackwell-based GPU that features 96 fifth-generation Tensor Cores and Multi-Instance GPU features. Other specifications include the system coming with a 14-core Arm Neoverse-V3AE CPU, 128GB of LPDDR5X memory, four 25GbE network connectors, and support for NVMe storage through PCIe slots. Additionally, the AGX Thor Kit supports video encoding and decoding across multiple 4K and 8K streams. If the T5000 model seems overkill, NVIDIA has also released the T4000 model, which features 1200 TFLOPS of AI performance on a 1536-core GPU and 64GB of memory. The T5000 model operates between 40 and 130W, while the T4000 operates between 40 and 75W. NVIDIA has set the price for the Jetson AGX Thor Developer Kit at $3,499, and it's currently available to pre-order from select distributors. The powerful mini PC is scheduled to start shipping on November 20, 2025.

Nvidia unveils Jetson T5000 with 2560 core Blackwell GPU

The Jetson AGX Thor Developer Kit is designed as a comprehensive system for those developing complex AI applications. Despite its compact form factor, the kit's capabilities place it in the performance range usually associated with workstation-level computers. Nvidia has introduced the Jetson AGX Thor Developer Kit, a compact yet powerful platform centered around the new Jetson T5000 system-on-module. Scheduled for release in late 2025, this kit is aimed at developers working on advanced AI and robotics applications. The Jetson AGX Thor Developer Kit is designed as a comprehensive system for those developing complex AI applications. Despite its compact form factor, the kit's capabilities place it in the performance range usually associated with workstation-level computers. The primary target applications for this developer kit include edge AI deployment, rather than general home computing. At the core of the system is the Jetson T5000, which Nvidia claims can deliver 2070 TFLOPS (FP4, Sparse). This performance is enabled by a 2560-core GPU based on the Blackwell architecture. The GPU also features 96 fifth-generation Tensor Cores and Multi-Instance GPU capabilities, which are essential for handling demanding AI workloads. Complementing the GPU is a 14-core Arm Neoverse-V3AE CPU and 128GB of LPDDR5X memory. This combination of processing power and memory capacity supports complex computations and data handling required in AI and robotics applications. The inclusion of high-bandwidth memory ensures efficient data transfer and processing. Networking capabilities are provided by four 25GbE connections, facilitating high-speed data transfer and communication. The system also includes support for NVMe storage through PCIe, allowing for fast and reliable data storage. These features are critical for applications that require real-time data processing and analysis. The Jetson AGX Thor kit supports video encode and decode across multiple 4K and 8K streams. This is particularly useful for applications involving high-resolution video processing, such as visual AI systems. The ability to handle multiple streams simultaneously enhances the system's versatility and applicability in various scenarios. Nvidia is also developing a lower-end option, the Jetson T4000. Early specifications for the T4000 list a performance of 1200 TFLOPS (FP4, Sparse), a 1536-core GPU, and 64GB of memory. This option provides a more cost-efficient alternative for developers working on less demanding applications. The power consumption for both modules varies, with the T5000 rated between 40 and 130 watts, and the T4000 between 40 and 75 watts. This range allows for flexibility in power management and thermal design, accommodating different deployment environments and constraints. The Jetson AGX Thor Developer Kit is equipped with a reference carrier board that includes a WiFi 6E module, providing wireless connectivity. It also features a 1TB NVMe SSD for storage and standard debugging interfaces to aid in development and troubleshooting. The inclusion of these components ensures that developers have a complete set of tools and resources to work with. The networking capabilities extend beyond the 25GbE connections, including a QSFP28 interface with four 25GbE channels and a 5GbE RJ45 connector. This emphasizes the kit's suitability for sensor-heavy applications that require high-bandwidth data transfer. The variety of networking options allows for seamless integration with different types of sensors and communication protocols. Expansion is supported through M.2 slots, providing flexibility for adding additional storage or other peripherals. The kit also offers HDMI 2.0b and DisplayPort 1.4a outputs for video display, along with multiple USB ports for connecting various devices. These expansion options enhance the system's adaptability and versatility. The physical dimensions of the Jetson AGX Thor are 243.19 x 112.4 x 56.88 mm. This makes it larger than a typical business PC but still compact when compared to most workstation PC designs. The compact form factor allows for deployment in space-constrained environments. The Jetson AGX Thor is positioned alongside initiatives like the DGX Spark as a development platform. However, the Jetson AGX Thor specifically targets humanoid robotics, visual AI systems, and sensor integration. It is supported by Nvidia's Isaac, Metropolis, and Holoscan software frameworks, which provide tools and libraries for developing these types of applications. The Jetson AGX Thor Developer Kit is priced at $3,499 and is available for pre-order through selected distributors. Shipments are expected to commence on November 20, 2025. This developer kit provides a high-performance and versatile platform for developing advanced AI and robotics applications.

NVIDIA's new Jetson Thor is here, called 'ChatGPT moment' for physical AI, robotics, smart EVs

TL;DR: NVIDIA's new Jetson Thor AI system delivers 7.5x more compute power and enhanced memory, enabling advanced real-time processing for robotics. Boston Dynamics integrates it into its humanoid robot Atlas, while Agility Robotics plans to use it for improved AI-driven automation in logistics and industrial applications. NVIDIA's impressive new Jetson Thor system is now out in the market, a tiny compact powerhouse AI system, that Boston Dynamics is integrating into its humanoid robot Atlas. NVIDIA has published a new blog post on its website detailing the new Jetson Thor chip, which features 7.5x more AI compute power, 3.1x more CPU performance, and 2x more memory than its predecessor, the Jetson Orin. This huge performance leap enables roboticists to process high-speed sensor data and perform visual reasoning at the edge, these are workflows that were too slow to run in dynamic real-world environments. NVIDIA's new Jetson Thor chip and its new powerful performance upgrades across the board open new possibilities for multimodal AI applications, such as humanoid robots. Jetson Thor modules will be used inside of new robotics computers that can "serve as the brains for robotic systems across research and industry", explains NVIDIA. This has led to Boston Dynamics, which has been at the forefront of the industry's most advanced robots for over 30 years, using NVIDIA's new Jetson Thor inside of its humanoid robot Atlas, giving it server-level compute power, AI workload acceleration, data processing, and "significant" memory on-device. Boston Dynamics will also be using Jetson Thor in other markets other than humanoid robots, using NVIDIA's new system for various robotic uses like surgical assistants, smart tractors, delivery robots, industrial manipulations, and visual AI agents. Each of them would feature real-time inference on-device allowing for larger, more complex AI models. Agility Robotics is another leader in the humanoid robot business, has integrated NVIDIA Jetson into its new fifth-generation robot, Digit, with plans to use Jetson Thor as the onboard compute platform for its sixth-generation Digit. This move to the new NVIDIA Jetson Thor chip enhances Digit's real-time perception and decision-making capabilities, supporting increasingly complex AI skills and behaviors. Digit is already commercially deployed with the humanoid robot performing logistics tasks like stacking, loading, and palletizing in warehouses and manufacturing facilities. Peggy Johnson, CEO of Agility Robotics, said: "The powerful edge processing offered by Jetson Thor will take Digit to the next level - enhancing its real-time responsiveness and expanding its abilities to a broader, more complex set of skills. With Jetson Thor, we can deliver the latest physical AI advancements to optimize operations across our customers' warehouses and factories".

Nvidia's New Robotics System Can Power Physical AI and Humanoid Robots

Nvidia, on Monday, announced the general availability of its Jetson AGX Thor development kit and production modules. Jetson Thor is the successor to the Jetson Orin chipset, which arrived in September 2022. The latest robotics platform significantly improves on both processing power as well as energy efficiency, and the company claims that it can enable physical artificial intelligence (AI) and robots -- in particular, humanoid robots -- to have real-time, intelligent interactions with people and the physical world. Nvidia also announced the list of companies that have already adopted the new computer system. Nvidia Jetson Thor to Allow Real-Time Reasoning Inference for Robots In a newsroom post, the tech giant announced the general availability of the new chipset and detailed its features. Developers and enterprises can now purchase the Jetson AGX Thor developer kit at the starting price of $3,499 (roughly Rs. 3 lakh). Additionally, the Jetson T5000 production modules are available from the company's distribution partners globally. Production systems and carrier boards for the platform can be separately purchased from Nvidia's embedded partners. The Jetson Thor platform is powered by Nvidia's Blackwell GPU paired with 128GB of RAM. As per the company, it delivers up to 2,070 FP4 teraflops of AI compute (processing power), a 7.5X increase compared to its predecessor. The system can run on a power supply of 130W, marking 3.5X improved energy efficiency when compared to Orin. Nvidia says that the new robotics chip is capable of running any generative AI model, including the complex systems designed for physical AI and robots. Highlighting an example, the company said that Jetson Thor can comfortably run vision language models (VLAs) such as Isaac GR00T N1.5. This fast processing speed, which occurs on the cloud, accompanied by the improved power efficiency, enables Jetson Thor computers to offer real-time reasoning inference for humanoid robots. Put simply, the chipset, acting as the brain of a robot, can see an object, understand what it is, and execute the action in a split second. In theory, this means individuals can order a robot powered by the platform (and a sophisticated AI system) to "open a black box and bring the white ball inside it," and it should be able to follow the command without taking extra time to process the location of the box or to identify the ball. Nvidia highlighted that the early adopters of the new platform include industry players such as Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta. Additionally, companies such as 1X, John Deere, OpenAI, and Physical Intelligence are currently evaluating Jetson Thor. "The future of robotics in logistics depends on the ability to deploy increasingly intelligent and autonomous systems. Nvidia Jetson Thor offers the computational horsepower and energy efficiency necessary to develop and scale the next generation of AI-powered robots that can operate safely and effectively in dynamic, real-world environments, transforming how we move and manage goods globally," said Tye Brady, chief technologist at Amazon Robotics.

Nvidia's Newest Product Is a $3,500 'Robot Brain'

Nvidia's new Jetson Thor kit positions the chipmaker to shape the age of physical A.I. across industries. Nvidia CEO Jensen Huang knows a thing or two about spotting the next big wave. Back in the 2010s, when his company was still best-known for gaming hardware, he began steering it toward breakthroughs in A.I. -- a gamble that transformed Nvidia into the world's most valuable public company. Now, Huang his sights set squarely on robotics. Sign Up For Our Daily Newsletter Sign Up Thank you for signing up! By clicking submit, you agree to our <a href="http://observermedia.com/terms">terms of service</a> and acknowledge we may use your information to send you emails, product samples, and promotions on this website and other properties. You can opt out anytime. See all of our newsletters Yesterday (Aug. 25) Nvidia unveiled Jetson Thor, a $3,499 developer kit it describes as the "brains" of robotic systems. The robotics computers are designed to accelerate applications across industries ranging from manufacturing and logistics to health care and retail. Powered by Nvidia's Blackwell GPU, Jetson Thor boasts 128GB of memory and delivers 7.5 times the A.I. compute of its predecessor, Jetson Orin, with 3.5 times greater energy efficiency. Early adopters include Meta, Amazon Robotics, Boston Dynamics and Caterpillar, while companies like OpenAI and John Deere are testing how Jetson Thor could enhance their robotics efforts. Huang has recently become more outspoken about his belief that physical forms of A.I., such as humanoid robots and self-driving cars, will drive the technology's next phase. With tools like Cosmos Reason, a vision-language-action (VLA) model designed to give robots human-like reasoning skills, he is positioning Nvidia as a key force in that transition. For now, robotics represents only a sliver of Nvidia's business. Between February and April, the company's automotive and robotics division generated $567 million in revenue -- about 1 percent of total sales -- but still marked a 72 percent year-over-year jump. Company-wide revenue for the quarter reached $39.3 billion, driven largely by its booming data center business. Nvidia hopes Jetson Thor can help robotics grow into something far bigger. At Amazon Robotics, the kit is being used to scale next-gen robots capable of moving safely in real-world environments. At Caterpillar, Jetson Thor is powering autonomous machines that can make real-time decisions and improve precision in construction and mining. Boston Dynamics is integrating Jetson Thor into its humanoid robot Atlas, while Agility Robotics is using the kit in the fifth generation of its Digit robot and plans to do the same for its sixth, aiming to boost perception and decision-making capabilities. Academics are also exploring the kit's potential. Researchers at Carnegie Mellon's Robotics Institute report that Jetson Thor enables robots to handle tasks such as medical triage and search-and-rescue in complex environments. The product, Huang said in a statement, was designed for the "millions of developers" working to bring physical A.I. into the real world. "With unmatched performance and energy efficiency and the ability to run multiple generative A.I. models at the edge, Jetson Thor is the ultimate supercomputer to drive the age of physical A.I. and general robotics," he said.

Nvidia's Bold Robotics Leap: Jetson AGX Thor Brings the 'Robot Brain' Revolution to Industry

Think Nvidia and flashes of artificial intelligence, GPU-accelerated data centres, or maybe even epic gaming battles probably come to mind. But today, Nvidia's ambitions have grown even bigger: the company is staking its future beyond AI in the fast-evolving world of robotics. With news headlines dominated by generative AI, Nvidia's next big money-maker may not just be synthetic text and images, but real robots, powered by silicon smarter than anything seen before. On Monday, Nvidia made a dramatic entrance into the robotics scene by unveiling the Jetson AGX Thor developer kit, priced at a steep but, for inventors, tempting $3,499. This isn't just a speedier version of last year's tech. The Jetson Thor is powered by Nvidia's fabled Blackwell GPU processors and boasts 128GB of on-board memory, a staggering spec crucial for powering the massive AI models that make truly intelligent robots possible. But numbers tell only half the story. Nvidia claims the new chip is 7.5 times faster than its predecessor, opening doors for robots to make sense of and interact with an ever more complex world at blinding speed. For companies that want to push beyond prototypes, Nvidia offers its Thor T5000 modules for equipping ready-to-ship robots; buy 1,000 or more, and the price drops to $2,999 per unit. You won't see an Nvidia robot vacuuming your living room anytime soon Nvidia's game is enablement, not end products. "We do not build robots, we do not build cars, but we enable the whole industry with our infrastructure, computers, and the associated software," said Deepu Talla, Nvidia's VP of robotics and edge AI. This ecosystem approach has already attracted giants: Amazon, Meta, and Agility Robotics are early adopters, building their next-gen hardware on Jetson chips. For Nvidia, the plan is clear let the world's best minds build amazing robots and provide them with the computing brains to do so. Nvidia's CEO, Jensen Huang, isn't shy about calling this the company's "largest growth opportunity outside of AI." For perspective, in the past decade, Nvidia rode the AI wave from a niche graphics chipmaker to a titan of global markets. Now, robotics could do for Nvidia in the world of machines what GPUs did for digital intelligence: power a hardware and software explosion that redefines how industries, manufacturing, logistics, retail, and even the home get things done. With the Jetson AGX Thor, Nvidia is quietly charting the roadmap for the robotic age. More than just an upgrade, it's a seismic shift in how roboticists, engineers, and startups will imagine what comes next. Whether it's warehouse automatons, humanoid helpers, or fully autonomous factories, Nvidia's "robot brain" might just be the missing piece that turns today's sci-fi into tomorrow's status quo. If the past was written by software, the future may soon be built piece by piece, byte by byte, by robots powered by Nvidia. This is not just the next frontier for the company; it might be the dawn of a new era for all of us Also Read: Chinese Scientists to Launch World's First "Pregnancy Robot" Which Can Give Birth by 2026 NxtGen Unveils 'M': India's Open-Source AI Platform Built for Real-World Action Improving Telecommunications with Edge AI

NVIDIA Makes First Major Move in 'Physical AI' With Jetson Thor, Giving Humanoid Robots Their Own Brain to Make Them Smarter and More Capable

NVIDIA has released the next generation of its Jetson system, which is powered by the Blackwell architecture and is claimed to bring the next era of humanoid robots. Team Green's CEO Jensen Huang has specifically expressed 'Physical AI' as the next big thing for the company, not only in revenue prospects, but also in how it will enable robots to become much more capable in independent reasoning, driven by AI. According to a new blog post, NVIDIA has launched the Jetson Thor modules, which bring in much higher compute capabilities than Jetson Orin, and more importantly, have opened up the way for humanoid robots. Diving a bit into the technical details, the Jetson Thor is equipped with the new Blackwell-based Jetson T5000 module, offering 14 ARM Neoverse-V3AE CPU cores and a 2560-core GPU. Regarding generational improvements in performance, NVIDIA claims that the latest platform brings in 7.5x more AI compute, 3.1x more CPU performance, and 2x more memory, allowing it to run genAI frameworks and reasoning models. Ultimately, the intention here is to give robots a capable brain to serve humans. The Jetson Thor system delivers up to 2,070 FP4 teraflops of AI compute, all within a 130W power usage, allowing for more widespread adoption across humanoid robot projects. Here's a quick rundown on the specifications: NVIDIA has disclosed that Agility Robotics and Boston Dynamics, two of the most reputable names in robotics, have started deploying Jetson Thor systems in their products. This means that we might see capable robots from them soon. Now, with such computing power onboard, there's indeed a tradeoff in the form of the cost to acquire such systems. NVIDIA has priced the Jetson AGX Thor developer kit at $3,499, which is a hefty figure when you consider the overall costs in building humanoid robots. Interestingly, Jensen Huang personally signed many of the initial units of Jetson Thor sent to NVIDIA customers, showing his commitment to this particular segment of the AI industry. More importantly, NVIDIA's key partner Foxconn is set to introduce humanoid robots in the market by year-end, which shows that physical AI could pan out to be the next big thing after AI training and inferencing.

ADI Adopts NVIDIA Jetson Thor to Advance Humanoid Robot Intelligence

Jetson Thor redefines what's possible for robotics. With a NVIDIA Blackwell GPU, transformer engine, Multi-Instance GPU (MIG), a 14-core Arm Neoverse V3AE CPU, and up to 128 GB of LPDDR5X memory, it delivers 2070 FP4 TFLOPS server-class AI compute in a mobile power envelope. Its high-throughput I/O, including 4×25 GbE, provides the bandwidth needed to fuse dense multimodal sensing in real time. This capability makes NVIDIA Jetson Thor the first platform to run robotics foundation models at scale, from vision-language to vision-language-action models, enabling robots to move beyond perception into reasoning and physically intelligent behavior. That aligns directly with ADI's R&D focus: sensing, perception, control and connectivity that makes such reasoning actionable in the real world with high physical accuracy. "For the first time, robots can understand complex tasks. ADI delivers the precision physical substrate which, combined with NVIDIA Jetson Thor's reasoning, responds to realworld physics in real time. Together, we're taking humanoids from simulation to shiftready deployment."