This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and offers five guidelines for selecting…

NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing correct, maintainable, and performant CUDA code…

NVIDIA has agreed to acquire Hugging Face. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide.

Stream ‘NBA 2K27’ with DLSS 5 across supported devices — plus, jump into ‘The Blood of Dawnwalker,’ ‘Onimusha: Way of the Sword’ and more.

At IFA 2026, NVIDIA and partners are providing faster inference and new tools that make agents easier to set up and run locally.

AI agents are learning to do more by working together. A lead agent can break a complex task into smaller jobs and assign those jobs to specialized subagents. Additionally, users are starting to run…

Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook where that data resides…

Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run locally on edge hardware.

Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it before contributing. To provide agents with…

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA…

Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA software platform. CUDA Toolkit 13.4…

Encode-prefill-decode (EPD) disaggregation is an inference optimization technique for multimodal models that separates the vision encoder stage from the prefill and decode stages. It is most effective…

At IBC, NVIDIA is announcing a major expansion to NVIDIA AI for Media to unlock new ways to understand motion, verify and enhance video, localize programming and build AI-powered media applications.

NVIDIA has one of the largest and most complex supply chains in the world, and its performance is measured from wafer-out to first token. The interval is in two parts. Time-to-rack runs from silicon…

WARDOGS drops onto the cloud at launch, alongside the Valheim 1.0 Deep North update and Bus Simulator 27 — part of nine new games.

AI inference chipmaker d-Matrix today announced it will use NVIDIA NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure platform — joining a growing roster of ecosystem partners. By connecting Raptor to NVIDIA NVLink scale…

NVIDIA’s modular, full-stack robotaxi pipeline — a three-computer solution spanning AI training, simulation and in-vehicle computing — is being adopted across the robotaxi ecosystem.

Skild AI’s S1 robotic foundation model harnesses NVIDIA technologies spanning synthetic data generation, model training, simulation and real-world deployment.

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA BioNeMo Inference Runtime (BioIR) helps…

Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible on available GPU infrastructure while…

Perplexity Portable Computer is now available on Windows, powered by NVIDIA RTX GPUs. Run local AI agent workflows without cloud credits.