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Computer-aided engineering (CAE) is shifting from human-driven workflows toward AI-driven ones, including physics foundation models that generalize across... Computer-aided engineering (CAE) is shifting from human-driven workflows toward AI-driven ones, including physics…
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... Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots…
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... NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a…
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... CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X…
In the rapidly evolving landscape of large language model (LLM) development, NVIDIA Megatron Core has emerged as the foundational framework for training massive... In the rapidly evolving landscape of large language model (LLM) development, NVIDIA Megatron Core has emerged as…
Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and request handling across many GPUs and... Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and…
In this post, we dive into one of the most critical workloads in modern AI: Flash Attention, where you’ll learn: How to implement Flash Attention using NVIDIA... In this post, we dive into one of the most critical workloads in modern AI: Flash Attention, where you’ll learn…
A computation is considered deterministic if multiple runs with the same input data produce the same bitwise result. While this may seem like a simple property... Source
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... NVIDIA ACE is a suite of technologies for building AI agents for gaming. ACE provides ready-to-integrate cloud and…
NVIDIA CUDA Tile is one of the most significant additions to NVIDIA CUDA programming and unlocks automatic access to tensor cores and other specialized... NVIDIA CUDA Tile is one of the most significant additions to NVIDIA CUDA programming and unlocks automatic access to tensor…
Autonomous networks are quickly becoming one of the top priorities in telecommunications. According to the latest NVIDIA State of AI in Telecommunications... Autonomous networks are quickly becoming one of the top priorities in telecommunications. According to the latest NVIDIA…
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... To make 6G a reality, the telecom industry must overcome a fundamental challenge: how to design, train, and…
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... Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this…
Organizations deploying LLMs are challenged by inference workloads with different resource requirements. A small embedding model might use only a few gigabytes... Organizations deploying LLMs are challenged by inference workloads with different resource requirements. A small…
$110B funding round at $730B valuation from SoftBank ($30B), NVIDIA ($30B), Amazon ($50B).
LLM context lengths are exploding, and architectures are moving toward complex attention schemes like Multi-Head Latent Attention (MLA) and Grouped Query... LLM context lengths are exploding, and architectures are moving toward complex attention schemes like Multi-Head Latent…
NVIDIA flagship data center GPUs in the NVIDIA Ampere, NVIDIA Hopper, and NVIDIA Blackwell families all feature non-uniform memory access (NUMA) behaviors, but... NVIDIA flagship data center GPUs in the NVIDIA Ampere, NVIDIA Hopper, and NVIDIA Blackwell families all feature…
As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. NVIDIA Run:ai addresses these challenges... As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes…
Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping into C++ to write custom kernels and to... Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping…
As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and cost... As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM)…
Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow, and often... Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the…
NVIDIA TensorRT LLM enables developers to build high-performance inference engines for large language models (LLMs), but deploying a new architecture... NVIDIA TensorRT LLM enables developers to build high-performance inference engines for large language models (LLMs), but…
The latest AI models continue to grow in size and complexity, demanding increasing amounts of compute performance for training and inference—far beyond what... The latest AI models continue to grow in size and complexity, demanding increasing amounts of compute performance for…
Kimi K2.5 is the newest open vision language model (VLM) from the Kimi family of models. Kimi K2.5 is a general-purpose multimodal model that excels in current... Kimi K2.5 is the newest open vision language model (VLM) from the Kimi family of models. Kimi K2.5 is a…
What if your AI agent could instantly parse complex PDFs, extract nested tables, and "see" data within charts as easily as reading a text file? With NVIDIA... What if your AI agent could instantly parse complex PDFs, extract nested tables, and “see” data within charts as easily…
NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. One of the great things... NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU…
NVIDIA Run:ai v2.24 introduces time-based fairshare, a new scheduling mode that brings fair-share scheduling with time awareness for over-quota resources to... NVIDIA Run:ai v2.24 introduces time-based fairshare, a new scheduling mode that brings fair-share scheduling with time…
This post introduces Dynamic Context Parallelism (Dynamic-CP), a scheduling approach in NVIDIA Megatron Core used for LLM post-training or DiT pre-training. It... This post introduces Dynamic Context Parallelism (Dynamic-CP), a scheduling approach in NVIDIA Megatron Core used…
Deploying AI applications across diverse consumer hardware has traditionally forced a trade-off. You can optimize for specific GPU configurations and achieve... Deploying AI applications across diverse consumer hardware has traditionally forced a trade-off. You can optimize for…
Global climate models are good at the big picture—but local climate extremes, like hurricanes and typhoons, often disappear in the details. Those patterns are... Global climate models are good at the big picture—but local climate extremes, like hurricanes and typhoons, often…