Results for "NVIDIA"

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5 Physical AI Infrastructure Platforms Shaping Robotics in 2026

The article examines five foundational physical AI infrastructure platforms shaping robotics development in 2026, including NVIDIA's accelerated computing and simulation ecosystem (Isaac, Newton), and Applied Intuition's validation engineering for autonomous systems. These platforms represent critical layers in the emerging physical AI stack, addressing bottlenecks in robot perception, reasoning, action, and real-world deployment across industries like automotive, manufacturing, and autonomous vehicles.

Robotics Business Review6d ago

Why Is Everyone Suddenly Building Their Own Chips for Robots?

AMD's new robotics platform and the broader shift toward custom silicon reveal a quiet power struggle in robotics: whoever controls the compute layer controls the industry. As giants from AMD to NVIDIA battle for the robot brain, the question isn't just about performance — it's about who gets to define what robots can do.

Creative Robotics7/26/2026Original

AMD unveils Kria module for real-time control, unified memory for robots

AMD unveiled its Ryzen AI Embedded X100 series and Kria AI Robotics platform designed to provide deterministic real-time control and unified CPU-GPU-NPU memory for robotics applications. The company claims the X100 outperforms NVIDIA's Orin and Thor on system-level robotics workloads while supporting industrial arms, autonomous mobile robots, and humanoids on a single scalable platform.

Robotics Business Review7/23/2026

Medtronic to launch AI compute platform for the operating room

Medtronic unveiled Touch Surgery Aide, an AI-powered compute platform for operating rooms that leverages NVIDIA's accelerated computing infrastructure to deliver real-time surgical insights during procedures. The platform's first FDA-cleared application, Instrument Exit Point, uses computer vision to alert surgeons when robotic instruments move out of view, representing the initial step in Medtronic's broader effort to embed AI capabilities into its Hugo robotic-assisted surgery system.

The Robot Report7/22/2026

At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI

At SIGGRAPH 2024, NVIDIA showcased advances in neural rendering, world models, and AI-powered simulation technologies applicable to robotics, autonomous systems, and digital twin design. Key announcements include breakthroughs in 3D-guided neural rendering, AI physics models for weather and aerodynamics, and the Cosmos world foundation model platform for developing physical AI systems.

NVIDIA Blog AI7/20/2026

NVIDIA data center hardware is being cooled with water 'hotter than a hot tub'

NVIDIA's new Rubin generation of AI infrastructure uses innovative liquid cooling systems with 45-degree Celsius (113°F) coolant, which paradoxically cools more efficiently than traditional cold-air systems. This approach reduces data center cooling energy costs by an estimated $4 million annually for large facilities, eliminates water consumption, reduces noise pollution, and improves space efficiency compared to conventional cooling methods.

Engadget7/20/2026

Bristol Myers Squibb Building Life Science Industry's Most Advanced AI Factory on NVIDIA Vera Rubin

Erin Davis calls it the "SuperDuperPOD." That's two things in one name: pharmaceutical giant Bristol Myers Squibb (BMS) already runs one of the largest AI clusters in life sciences, with serious resul...

NVIDIA Blog AI7/20/2026

NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post-Training Workloads - a Key Metric for Agentic AI

NVIDIA introduced Vera Rubin and Nemotron 3 Ultra, focusing on optimizing post-training workloads for agentic AI systems that continuously adapt in production environments. The company emphasizes 'intelligence per dollar' as a key metric for agentic AI, where post-training becomes a continuous process rather than a one-time step, and released open-source NeMo libraries to make post-training infrastructure more accessible and repeatable.

NVIDIA Blog AI7/17/2026

Fujitsu and leading Japanese robotics companies to use Nvidia technology in 'physical AI'

Fujitsu, Nvidia, and Japan's leading robotics manufacturers (Fanuc, Yaskawa, Kawasaki Heavy Industries) announced a major collaboration to develop "physical AI" — autonomous robots that can think independently and work alongside humans in factories, homes, and hospitals. The initiative aims to address Japan's labor shortage by combining Nvidia's AI technology with Japanese manufacturing excellence, with the first phase of collaboration expected later in 2026.

Phys.org Robotics7/16/2026

NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI

NVIDIA introduced the Jetson T3000 and T2000 modules based on its Thor architecture to enable mass-market robotics and edge AI deployment. The T3000 delivers 865 FP4 teraflops with a compact form factor and functional safety capabilities, while the T2000 provides an entry-level option with 400 teraflops for visual AI agents and autonomous systems. NVIDIA also released AI agent skills that automate memory optimization, helping companies like Agile Robots and Hitachi reduce memory usage by up to 15GB while maintaining performance.

NVIDIA Blog AI7/15/2026

NVIDIA and Japan Bring Full-Stack AI and Robotics to Every Industry

NVIDIA founder Jensen Huang visited Japan to showcase the company's AI and robotics ecosystem, highlighting how Japan's manufacturing expertise combined with AI can drive innovation in robotics and intelligent manufacturing. The visit included a Build-a-Claw event where developers used NVIDIA's platform to build robotic systems, and meetings with Japan's supply chain and technology leaders to discuss AI's potential to address labor shortages and create new economic opportunities.

NVIDIA Blog AI7/15/2026

NVIDIA shares how to evaluate general-purpose robot policies for real-world deployment

NVIDIA introduces methods for evaluating general-purpose robot foundation models and policies for real-world deployment, addressing critical gaps in current simulation benchmarks. The company identifies key problems including visual domain overlap between training and evaluation, benchmark saturation, lack of diagnostic insights into failures, and statistical trustworthiness issues, and proposes solutions like the Clopper-Pearson confidence interval method for more rigorous robot policy evaluation.

Robotics Business Review7/14/2026

Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize

NVIDIA's Nemotron Labs blog post discusses how open AI models enable enterprises to customize, control, and trust AI systems for their specific needs, removing barriers imposed by closed models. The article highlights real-world examples of companies like Abridge, Glean, Harvey, and others specializing Nemotron models for healthcare, legal, search, and multilingual applications, demonstrating competitive advantages through domain-specific fine-tuning and reduced inference costs.

NVIDIA Blog AI7/14/2026

Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency

NVIDIA publishes technical analysis on performance-per-watt as the critical metric for AI infrastructure efficiency, arguing that power constraints determine profitability for AI factories. The company highlights how its Blackwell NVL72 platform delivers up to 25x better performance-per-watt compared to Hopper generation systems when serving mixture-of-experts models, achieved through full-stack codesign across silicon, networking, and software optimization layers.

NVIDIA Blog AI7/14/2026

NVIDIA decided now is the time to announce 'GeForce Trading Cards'

NVIDIA launches trading cards that feature 'GeForce PC gaming's great moments.'

Engadget7/10/2026

NVIDIA and Hugging Face bring new models and frameworks to LeRobot

NVIDIA and Hugging Face have integrated the Isaac GR00T 1.7 vision-language-action model and Isaac Teleop framework into LeRobot, an open-source robotics library, to provide developers with standardized tools for humanoid robot development, data collection, and policy training. The collaboration aims to democratize physical AI by connecting NVIDIA's 3 million robotics developers with Hugging Face's 16 million AI builders, with plans to add NVIDIA Cosmos 3, a frontier world model for physical AI, to the platform soon.

Robotics Business Review7/8/2026

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA's Nemotron 3 Ultra language model, optimized by LangChain for its Deep Agents platform, achieves benchmark-leading performance at 10x lower inference cost than closed-source models while maintaining parity on business tasks. Rather than retraining the model, LangChain engineered the harness around Nemotron 3 Ultra by tuning system prompts, tool descriptions, and middleware, making the optimized configuration immediately available to developers. The open-source stack, called NemoClaw, gives enterprises full control over their AI agent systems across infrastructure, with early adoption from companies like Abridge, Amdocs, Box, and EY.

NVIDIA Blog AI7/8/2026

AI Innovators Adopt NVIDIA Vera - Why Max Single-Threaded CPU at Scale Matters

Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, resp...

NVIDIA Blog AI7/7/2026

Reuters: DeepSeek is developing its own AI chips

DeepSeek, a Chinese AI company, is reportedly developing its own inference chips to reduce reliance on third-party providers like NVIDIA and Huawei. The company is hiring engineers and engaging with manufacturing partners as part of its expansion strategy in the competitive Chinese AI market.

Engadget7/7/2026

NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

NVIDIA and Hugging Face are integrating NVIDIA's Isaac GR00T 1.7 vision-language-action model and Isaac Teleop framework into LeRobot, an open-source robotics library, to democratize robot development tools and datasets for developers. The collaboration also plans to add NVIDIA Cosmos 3, a frontier world model for physical AI, providing a standardized pipeline for training, evaluating, and deploying robot foundation models across the open robotics community.

NVIDIA Blog AI7/7/2026

How Open Models Are Driving AI Research

Open AI models and infrastructure have become foundational to modern AI research, as evidenced by thousands of papers at ICML 2026 citing open models like NVIDIA Nemotron, Cosmos, and Isaac GR00T. Key research areas include robot world models (such as DreamDojo for learning physical reasoning), AI for life sciences, synthetic data generation, and autonomous vehicle development, with companies like Sakana AI and Merck leveraging these open foundations for their work.

NVIDIA Blog AI7/6/2026

Top 10 robotics developments of June 2026

This roundup covers June 2026's top 10 robotics developments, including NVIDIA's physical AI tools, AGIBOT's 15,000th robot production milestone, humanoid deployments by Figure at BMW, major funding rounds for Standard Bots ($200M), NEURA Robotics ($1.4B), and General Intuition ($320M), Agility Robotics' SPAC merger announcement, RealSense's new AI-native depth camera, and Collaborative Robotics' Proxie Gen 2 mobile manipulation robot.

The Robot Report7/1/2026

NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout

NVIDIA is introducing a new business model that provides AI startups, model builders, and enterprises with access to large-scale compute infrastructure through revenue-sharing partnerships with AI cloud companies. Sharon AI and Firmus are among the first partners deploying tens of thousands of NVIDIA GPUs through this initiative, with Firmus planning a 360-megawatt AI factory in Indonesia to serve customers globally.

NVIDIA Blog AI7/2/2026

NVIDIA and Partners Build in America, for America

NVIDIA announced advances in graphics, simulation, and agentic AI at SIGGRAPH, highlighting developments in real-time simulation and AI for robotics applications. The company introduced the Vera Rubin model for cost-efficient post-training workloads and emphasized the role of open models in enterprise AI development and research.

NVIDIA Blog AI7/1/2026

Deep dive into ARM's physical AI and robotics strategies with Drew Henry

The Robot Report Podcast features an interview with Drew Henry, executive vice president of Arm Holdings' Physical AI Business Unit, discussing the company's strategy for computing and software technologies powering robotics, autonomous systems, and automotive applications. The episode covers industry news including Bear Robotics' acquisition of Kinisi Robotics, NVIDIA's release of Halos safety system for robotics, and a collaboration between Built Robotics and Penn xLAB on physical AI for construction.

Robotics Business Review6/24/2026

NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science

NVIDIA announced its BioNeMo Agent Toolkit integration with Anthropic's Claude Science, enabling AI agents to access accelerated computational workflows for life sciences research through natural language interfaces. The toolkit allows scientists to run sophisticated analyses in genomics, proteomics, drug discovery, and protein engineering by connecting Claude Science agents to NVIDIA's accelerated models, libraries, and microservices.

NVIDIA Blog AI6/30/2026

Vention collaborates with FANUC and Universal Robots on software-defined automation

Vention has expanded its AI-powered automation platform to support FANUC industrial and collaborative robots, enabling manufacturers to autonomously generate collision-free motion paths and deploy automation more quickly. The partnership leverages Vention's MachineMotion AI and goal-driven programming approach, combined with NVIDIA's Foundation Stereo model, to reduce commissioning complexity and accelerate adoption of robotic automation across factories.

Robotics Business Review6/23/2026

Robot Safety Just Became an Infrastructure Problem

NVIDIA and FORT Robotics both released comprehensive safety systems this week, signaling a fundamental shift in how the industry thinks about autonomous robot deployment. Safety is no longer a feature companies bolt on — it's becoming the foundation everything else builds upon.

Creative Robotics6/23/2026Original

FORT and NVIDIA launch AI-driven Outside-In Safety blueprint

FORT Robotics and NVIDIA launched an AI-driven Outside-In Safety blueprint that uses external infrastructure sensors and visual AI agents to enhance autonomous robot productivity and worker safety in industrial environments. The system, demonstrated at Automate 2024, extends robot perception beyond onboard sensors using NVIDIA IGX Thor and Holoscan Sensor Bridge, allowing robots to operate safely alongside workers at higher efficiency levels while dynamically adapting to complex warehouse and manufacturing settings.

The Robot Report6/22/2026

NVIDIA releases Halos, a full-stack safety system for robotics

NVIDIA launched Halos for Robotics, a comprehensive full-stack safety system designed to unify AI compute and safety for autonomous robots operating in factories, warehouses, and logistics. The system builds on NVIDIA's 18,600+ years of autonomous vehicle safety engineering and includes hardware (IGX Thor, Holoscan Sensor Bridge), software (Halos OS), and an accredited inspection lab, with early access available for developers and the open-source Halos Outside-In Safety Blueprint now on GitHub.

The Robot Report6/22/2026

HPE AI Factory With NVIDIA Expands for the Era of Agents

HPE and NVIDIA are expanding the HPE AI Factory to support agentic AI workloads, introducing the NVIDIA Vera CPU for agent-specific computing and the NVIDIA Agent Toolkit for HPE Private Cloud AI, alongside extended confidential computing capabilities across the entire portfolio. The Vera CPU, designed for tool calls and real-time data processing in agent loops, will be available in 2027, with early enterprise adoption from the New York Stock Exchange exploring the technology.

NVIDIA Blog AI6/16/2026

Richtech Robotics launches livestream for ADAM AI-powered humanoid

Richtech Robotics launched a round-the-clock interactive livestream platform featuring its ADAM AI-powered humanoid robot, allowing global audiences to interact with the robot in real time through chat and direct requests. The initiative demonstrates advances in embodied AI and natural human-robot interaction, with ADAM having previously served at the Kennedy Space Center and prepared noodles at a restaurant industry show, while the company expands its AI infrastructure with a new Las Vegas warehouse.

The Robot Report6/18/2026

Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0

NVIDIA's Blackwell platform swept MLPerf Training 6.0 benchmarks, achieving the fastest training times across all seven benchmarks and scaling to 8,192 GPUs—the largest Blackwell-based submission to date. The results showcase performance improvements including up to 1.6x faster training with the GB300 NVL72 over GB200 NVL72, and demonstrate Blackwell's capability for large-scale mixture-of-experts model training including DeepSeek-V3 671B and Llama 3.1 405B.

NVIDIA Blog AI6/16/2026

Windows for robots: Edge AI expands usability

Edge AI processors from companies like NVIDIA, AMD, and Qualcomm are enabling robots and automated systems to run AI models locally without internet connectivity, but their complexity limits adoption to experienced engineers. Numurus has developed NEPI, a software platform that abstracts away low-level complexity through plug-and-play drivers, built-in applications, and browser-based interfaces to democratize edge AI deployment in robotics, similar to how Windows made PCs accessible to non-experts.

The Robot Report6/13/2026

NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark

NVIDIA's Blackwell Ultra platform achieves leading performance on AgentPerf, the industry's first agentic AI benchmark, delivering 20x more concurrent agents per megawatt than the prior Hopper generation. AgentPerf benchmarks agentic AI workloads—where agents chain multiple LLM calls and tool invocations together—rather than single conversation turns, reflecting how AI agents actually operate in production environments like code generation tasks.

NVIDIA Blog AI6/12/2026

For Robotaxis, Safety Must Be Built In, Not Bolted On

NVIDIA announced Halos OS, a comprehensive safety system for autonomous robotaxis that addresses regulatory requirements for level 4 autonomous vehicles through a certified operating system, standardized hardware/software interfaces, and verifiable AI guardrails. The article covers new robotaxi deployments by Uber, Foxconn, VinFast, and HUMAIN using NVIDIA's DRIVE Hyperion platform, alongside the technical architecture of Halos OS designed to ensure safe autonomous operation at scale.

NVIDIA Blog AI6/10/2026

Struggling German auto supplier Bosch pivots to robots

German auto supplier Bosch is pivoting toward humanoid robotics and related sensor technology as its traditional auto parts business faces pressure from competition and weak demand. The company plans to expand production of MEMS sensors crucial for robotic dexterity and has partnered with robotics firm Neura, which recently raised $1.4 billion in funding from backers including Bosch, Nvidia, Amazon, and Tether to accelerate deployment of robots and physical AI systems.

Phys.org Robotics6/10/2026

NVIDIA Accelerates Google DeepMind's DiffusionGemma for Local AI

Google DeepMind released DiffusionGemma, an experimental open-source language model that generates multiple tokens in parallel instead of sequentially, achieving up to 4x faster text generation speeds. NVIDIA has optimized DiffusionGemma to run efficiently on its GPU hardware including RTX, DGX Spark, and DGX Station systems, enabling low-latency local AI inference for developers and researchers.

NVIDIA Blog AI6/10/2026

NEURA Robotics to raise up to $1.4B in Series C funding for physical AI

NEURA Robotics announced a Series C funding round of up to $1.4 billion to accelerate development of physical AI and cognitive robots. The company is building an ecosystem called the Neuraverse that combines robotics, AI, sensors, and edge computing for manufacturing, logistics, and service applications, with strategic partnerships including Qualcomm, Amazon, NVIDIA, and Bosch.

The Robot Report6/10/2026

Robotics will not have a clean Llama moment

This article discusses why robotics will not experience a clean open-source moment like Meta's Llama LLM, arguing that robot policies cannot simply be downloaded and deployed without significant integration work. The piece examines how models from DeepMind, NVIDIA, and startups like Physical Intelligence and Skild AI are becoming more accessible, but emphasizes that deploying robot policies requires extensive local adaptation, hardware-specific tuning, and handling of real-world site drift that differs from software model distribution.

The Robot Report6/10/2026

NVIDIA Confidential Computing to Help Expand Apple's Private Cloud Compute

NVIDIA's Confidential Computing technology is now being deployed in Apple's Private Cloud Compute to enable secure server-side inference for Apple Intelligence features, with NVIDIA Blackwell GPUs running on Google Cloud infrastructure. The technology uses trusted execution environments and cryptographic verification to protect user data during AI processing without compromising performance, representing a shift toward privacy-preserving cloud-based AI services.

NVIDIA Blog AI6/9/2026

Daimon Robotics and Galbot jointly launches RobOmni for benchmarking tactile perception and dexterous manipulation

Daimon Robotics and Galbot have launched RobOmni, the first omni-modal evaluation benchmark for tactile perception and dexterous manipulation in robots, debuting at ICRA 2026. Built on NVIDIA Isaac Sim, RobOmni provides a standardized framework to measure how tactile sensing improves robotic manipulation tasks like grasping, insertion, and assembly, addressing the industry's lack of unified benchmarks for evaluating physical interaction capabilities beyond vision alone.

The Robot Report6/8/2026

How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies

The UK is advancing its sovereign AI capabilities through significant infrastructure investments and government backing, with NVIDIA playing a central role in deploying AI compute across the country. Key initiatives include the Isambard-AI supercomputer (powered by 5,400 NVIDIA GH200 chips), the Sovereign AI Fund supporting homegrown startups like Cosine and Cursive, and multiple cloud providers deploying advanced AI infrastructure across UK soil to reach 65 megawatts by 2027.

NVIDIA Blog AI6/8/2026

NVIDIA and LG Group Build an AI Factory to Advance Physical AI, Mobility and AI Infrastructure

NVIDIA and LG Group are partnering to build an AI factory that combines NVIDIA's AI infrastructure with LG's manufacturing expertise to accelerate physical AI, robotics, and autonomous systems development. The collaboration includes integrating NVIDIA's Isaac simulation frameworks and GR00T foundation models into LG's home robot development (like CLoiD), creating a physical AI data factory for synthetic training data, and establishing an autonomous manufacturing ecosystem with real-time data connectivity. Additionally, LG will expand AI factory infrastructure capabilities aligned with NVIDIA's DSX platform, including thermal management and modular deployment technologies.

NVIDIA Blog AI6/8/2026

Why deterministic real-time systems are more critical than ever in robotics

The Robot Report Podcast features Winston Leung from QNX discussing how deterministic real-time systems and functional safety are critical for robotics operating in human environments. The episode explores QNX's microkernel architecture approach to providing real-time control and cybersecurity for autonomous systems, with insights into partnerships with NVIDIA and Intel for optimizing high-performance computing in next-generation robots.

The Robot Report6/5/2026

NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure

NVIDIA and Doosan Group announced an expanded collaboration to advance physical AI and robotics across multiple business units. Doosan Robotics is integrating NVIDIA's Isaac Sim, Isaac Lab, Cosmos foundation models, and Jetson Thor into its Agentic Robot OS to develop more autonomous collaborative robots and humanoid platforms for industrial tasks like depalletizing and sanding. The partnership also includes exploring AI factory power solutions through Doosan Enerbility and advanced PCB materials for NVIDIA's MGX data center infrastructure.

NVIDIA Blog AI6/7/2026

NVIDIA, KRAFTON, NC and Reigning 'League of Legends' Champions T1 Celebrate RTX Spark at Korea's PC Bangs

At GTC Taipei at COMPUTEX last week, NVIDIA unveiled RTX Spark, the superchip that reinvents Windows PCs for the era of personal AI agents. On the heels of this announcement, NVIDIA founder and CEO Je...

NVIDIA Blog AI6/7/2026

Physical AI Just Became the Industry's Favorite Buzzword

From NVIDIA's developer tools to RoboBusiness conference tracks, 'physical AI' has suddenly emerged as the robotics industry's terminology du jour. But does this rebranding actually mean anything, or is it just marketing spin for what we've been calling robotics all along?

Creative Robotics6/3/2026Original

Seoul Purpose: How NVIDIA and South Korea Are Building the Future of AI

NVIDIA CEO Jensen Huang visited Seoul to strengthen partnerships with South Korean companies in AI and robotics, meeting with major partners including LG, SK, Hyundai, Naver, and Doosan. Key announcements include Naver building a full-stack NVIDIA AI factory expanding to gigawatt scale and becoming the first Korean company in the NVIDIA Nemotron Coalition for open model development.

NVIDIA Blog AI6/5/2026

NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale

NVIDIA Research presented three papers at CVPR addressing key challenges in physical AI: GraspGen-X, a foundation model for zero-shot robotic grasping trained on 2 billion simulated grasps that works with any gripper; LCDrive, which uses compact latent representations to enable faster autonomous vehicle reasoning on embedded hardware; and NitroGen, a generalized gameplay AI foundation model for training embodied agents in virtual environments. The research demonstrates that training at scale creates AI systems that generalize across diverse applications, with two papers receiving best paper finalist recognition at the conference.

NVIDIA Blog AI6/3/2026