NVIDIA Integrates CUDA Tile Backend for OpenAI Triton GPU Programming
NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise....
GPUS
Why Is Everyone Suddenly Talking About Putting Data Centers in Space?
Data centers present sprawling engineering and political problems, with ravenous appetites for land and resources. Building them on Earth has...
Elon Musk’s Anti-Woke Wikipedia Is Calling Hitler “The Führer”
The Grokipedia encyclopedia logo appears on a smartphone screen reflecting an abstract illustration. Photo: Samuel Boivin/NurPhoto via Getty Images In late...
ICE Investigations, Powered by Nvidia
Nvidia, the computing giant that this week became the world’s first $5 trillion company, is powering U.S. Immigration and Customs...
NVIDIA Stresses Security: No Backdoors or Kill Switches in GPUs
NVIDIA emphasizes its commitment to secure computing by rejecting the integration of backdoors or kill switches in its GPUs, highlighting...
Decoding PTX: The Core of NVIDIA CUDA GPU Computing
Explore PTX, the assembly language for NVIDIA CUDA GPUs, its role in enabling forward compatibility, and its significance in the...
Microsoft Introduces Multimodal SLMs Trained on NVIDIA GPUs
Microsoft unveils new Phi SLMs, including the multimodal Phi-4, trained on NVIDIA GPUs, enhancing AI capabilities with efficient resource usage....
NVIDIA Unveils Video Codec SDK 13.0 with Blackwell GPU Support
NVIDIA's Video Codec SDK 13.0 introduces significant upgrades with support for Blackwell GPUs, enhancing video encoding and decoding capabilities for...
NVIDIA Enhances TensorRT-LLM with KV Cache Optimization Features
NVIDIA introduces new KV cache optimizations in TensorRT-LLM, enhancing performance and efficiency for large language models on GPUs by managing...
NVIDIA Pioneers AI-Centric Data Centers for the 5th Industrial Revolution
NVIDIA's Wade Vinson discusses transforming data centers into AI factories, highlighting GPU advancements and energy efficiency as key drivers of...
NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative...
NVIDIA Unveils AI-Powered RTX PCs for Enhanced Gaming and Content Creation
NVIDIA introduces RTX AI PCs equipped with GeForce RTX GPUs, offering a significant boost in gaming, entertainment, and productivity through...
Perplexity AI Leverages NVIDIA Inference Stack to Handle 435 Million Monthly Queries
Perplexity AI utilizes NVIDIA's inference stack, including H100 Tensor Core GPUs and Triton Inference Server, to manage over 435 million...
NVIDIA GPUs Revolutionize Quantum Dynamics Simulations
Researchers utilize NVIDIA GPUs to enhance quantum dynamics simulations, overcoming computational challenges and enabling advancements in quantum computing and material...
Optimizing Energy Efficiency in HPC and AI with NVIDIA GPUs
Explore NVIDIA's strategies to enhance energy efficiency in high-performance computing and AI applications, focusing on GPU optimization and holistic data...
