Organizations deploying LLMs are challenged by inference workloads with different resource requirements. A small embedding model might use only a few gigabytes of GPU memory, while a 70B+ parameter…

Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this series is a ~400B parameter native vision-language model (VLM) with reasoning…

Live field trials, new performance benchmarks, growing operator adoption and partner innovations built on NVIDIA platforms underscore the shift to AI-native 5G and 6G networks.

New open source large telco model and NVIDIA Blueprints enable telecom operators to use their own data to train AI agents and build autonomous networks.

To make 6G a reality, the telecom industry must overcome a fundamental challenge: how to design, train, and validate AI-native networks that are too complex to be tested in the physical world.

NVIDIA CUDA Tile is one of the most significant additions to NVIDIA CUDA programming and unlocks automatic access to tensor cores and other specialized hardware. Earlier this year…

NVIDIA ACE is a suite of technologies for building AI agents for gaming. ACE provides ready-to-integrate cloud and on-device AI models for every part of in-game characters, from speech to intelligence…

In this post, we dive into one of the most critical workloads in modern AI: Flash Attention, where you’ll learn: Environment requirements: See the quickstart doc for more information on installing…

This week brings eight new releases on GeForce NOW to kick off the month, and members can look forward to Crimson Desert’s launch on March 19.

Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to generate actionable trading insights.

Deploying and optimizing large language models (LLMs) for high-performance, cost-effective serving can be an overwhelming engineering problem. The ideal configuration for any given workload (such as…

Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and request handling across many GPUs and nodes to scale to more users while reducing…

In the rapidly evolving landscape of large language model (LLM) development, NVIDIA Megatron Core has emerged as the foundational framework for training massive transformer models at scale.

NVIDIA’s annual “State of AI” reports show how AI is being adopted across industries, what it’s being used for and how companies are achieving ROI, as well as their challenges and goals with the technology. 

ABB Robotics and NVIDIA today announced a breakthrough partnership that brings industrial‑grade physical AI to the factory floor.

CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as well as 10.X, 11.X and 12.

AI is one of the most powerful forces shaping the world today. It is not a clever app or a single model; it is essential infrastructure, like electricity and the internet.

NVIDIA and Thinking Machines Lab announced today a multiyear strategic partnership to deploy at least one gigawatt of next-generation NVIDIA Vera Rubin systems to support Thinking Machines’ frontier model training and platforms delivering customizable AI…

NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. At GDC 2026, NVIDIA unveiled the latest path…

Agentic code assistants are moving into daily game development as studios build larger worlds, ship more DLCs, and support distributed teams. These assistants can accelerate development by helping…

GDC 2026: AI-powered video generation with ComfyUI’s App View, NVIDIA RTX Video Super Resolution and new NVFP4 models.