In the new Phoronix benchmark, Vera delivers winning performance and memory results for agentic AI.

Precision medicine depends on two fundamental capabilities: understanding disease at the genomic level and identifying treatments at the molecular level. NVIDIA’s contributions to precision medicine…

NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The launch of NVIDIA CUDA Tile programming in C++, enables high-level…

Developers can now use NVIDIA CUDA Tile programming within large existing C++ GPU codebases to develop highly optimized GPU kernels using tile-based abstractions. NVIDIA CUDA Tile…

NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that unlock the best performance for a specific workload. Consider a team that has spent…

AI factories are token factories, converting power into intelligence in real time. And as agentic AI scales and autonomous, always-on special agents are deployed in the enterprise, performance per watt and cost per token become the economics that matter.

NVIDIA RTX provides game developers with direct paths to AI-driven characters, frame generation, and ray-traced rendering. This post walks through a meaningful set of recent updates across the RTX…

In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads on Kubernetes can take several minutes.

Catch the highly anticipated launch of '007 First Light' on GeForce NOW, along with a new members reward, leading 8 new games.

Featured at the International Conference on Robotics and Automation, eight new NVIDIA Research papers show how robots trained in simulation are moving into the real world.

AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images, documents, video, and language in real time—turning fragmented information…

As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including California’s AB-2013 and the EU AI Act, software teams face a challenge beyond delivering great code…

Modern LLM serving is hard to tune because each deployment is a stack of interacting choices: model backend, tensor-parallel shape, prefill/decode split, worker counts, scheduler settings…

Announced at GTC Taipei at COMPUTEX, NVIDIA OpenShell brings secure agents to Windows with 2x inference performance on llama.cpp — plus, Adobe rebuilds its apps with performance and memory enhancements, and Blender adds NVIDIA DLSS 4.5 Ray Reconstruction…

The new, open NVIDIA world foundation model brings vision reasoning, multimodal generation and action prediction together to help robots, autonomous vehicles and vision AI agents think before acting in the real world.

Semiconductor and electronics manufacturing leaders are using NVIDIA AI to speed manufacturing from fabs to factory floors as they ramp up the production of NVIDIA Vera Rubin NVL72 infrastructure for agentic AI factories.

The FOX blueprint, a reference design for building an autonomous factory manager agent, delivers total factory visibility for better, faster decision-making.

Fast-growing ecosystem helps enterprises, startups, nations, AI labs and developers scale agentic AI applications.

AI is now essential infrastructure, powered by AI factories that generate intelligence in the form of tokens. As demand grows, these factories must scale faster, operate more efficiently…

Each wave of AI has created a new scaling law. Pretraining scaled intelligence through larger datasets, more parameters, and massively parallel GPU systems. Post-training scaled usefulness through…

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing…