Earlier this month, NVIDIA and Dassault Systèmes announced a partnership that brings together Dassault Systèmes’ Virtual Twin platforms, NVIDIA accelerated computing, AI physics open models and NVIDIA CUDA-X and Omniverse libraries.

Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots. The challenge is no longer how to run a large language model (LLM)…

Every AI cluster running on Kubernetes requires a full software stack that works together, from low-level driver and kernel settings to high-level operator and workload configurations.

Computer-aided engineering (CAE) is shifting from human-driven workflows toward AI-driven ones, including physics foundation models that generalize across geometries and operating conditions.

The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and representative datasets, these systems don’t…

Setting up AI factories in simulation — decreasing deployment time from months to days — is  accelerating the next industrial revolution.  Nowhere was that more apparent than at GTC 2026, in San Jose, where NVIDIA founder and CEO Jensen Huang introduced NVIDIA…

Roche's new deployment spans more than 3,500 NVIDIA Blackwell GPUs across its worldwide operations and embedded across the entire value chain, massively scaling R&D productivity, next-generation diagnostics and manufacturing efficiencies.

Artificial intelligence is token-driven. Every prompt, reasoning step, and agent interaction generates tokens. Over the past year, token consumption has grown multifold and now exceeds 10 quadrillion…

AI is evolving, and reasoning models are increasing token demand, placing new requirements on every layer of AI infrastructure. More than ever, compute must scale efficiently to maximize token…

Building AI factories is complex and requires efficient integration across compute, networking, security, and storage systems. To achieve rapid Time to AI and strong ROI, the new NVIDIA DSX Air is…

AI has evolved from assistants following your directions to agents that act independently. Called claws, these agents can take a goal, figure out how to achieve it, and execute indefinitely—while…

Physics forms the foundation of robotic simulation, enabling realistic modeling of motion and interaction. For tasks like locomotion and manipulation, simulators must handle complex dynamics such as…

AI-native services are exposing a new bottleneck in AI infrastructure: As millions of users, agents, and devices demand access to intelligence, the challenge is shifting from peak training throughput…

NVIDIA cuDF accelerates Apache Spark applications on Google Cloud helps Snap engineers test and deploy new features faster while unlocking significant cost savings.

Nemotron 3 open models unlock fast, private AI agents like OpenClaw; plus, creativity is accelerated with RTX-optimized NVFP4 and FP8 visual generative AI models.

As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI.  At NVIDIA GTC 2026, leading operators in the U.S. and Asia showed that this shift is underway, announcing…

NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like Immersive for Autodesk VRED on Innoactive’s XR streaming solutions…

The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows.

While consumer AI offers powerful capabilities, workplace tools often suffer from disjointed data and limited context. Built with LangChain, the NVIDIA AI-Q blueprint is an open source template that…

Dive into immersive gaming at up to 90 fps on VR devices and play 'Crimson Desert' at launch with GeForce RTX 5080-class power.

NVIDIA Groq 3 LPX is a new rack-scale inference accelerator for the NVIDIA Vera Rubin platform, designed for the low-latency and large-context demands of agentic systems. Co-designed with the NVIDIA…