…Sparse acceleration hardware will not only make AI more performance- and energy efficient but also enable researchers and engineers to explore new algorithms that have the potential to dramatically improve AI. The…
…by-step guide designed to accelerate your AI projects. A Complete Ecosystem for AI Builders The AMD AI Developer Portal isn’t just a collection of tools, it’s a complete ecosystem…
…Support New AI Workloads Many inference workloads run on CPUs and don’t need special accelerator hardware. If you plan to run small or medium models or have occasional AI tasks, high…
…tasks to lightweight AI development, and delivering nearly 1.9x the graphics workload acceleration over previous NVIDIA architectures. vGPU 20 introduces enhancements such as the AI Virtual Workstation Toolkit, fixed-share scheduling…
…floating-point unit (FPU) Hardware-based virtualization architecture for software isolation in SDV applications 16KB I-cache / 8KB D-cache per core 128KB TCM per core AI accelerator – Neural-ART proprietary NPU…
…The Low-Latency Inference Accelerator for the NVIDIA Vera Rubin Platform Inside the NVIDIA Vera Rubin Platform: Six New Chips, One AI Supercomputer Discuss (0) Discuss (0) Tags Agentic AI / Generative AI…
…Documentation NVIDIA Aerial Resource Center (ARC-OTA) NVIDIA Product NVIDIA AI Aerial™ is a suite of accelerated computing platforms, software libraries, and tools to build, train, simulate, and deploy AI-native wireless…
First the article link: https://www.nvidia.com/en-us/geforce/news/star-wars-galactic-racer-launches-october-6-with-dlss-4-5/ From GeForce PR: This week, Dead As Disco enters Early Access, and there are new looks at two h…
There is a lot of disdain for DGX Sparks here on the sub. And I get it. A lot of people say “It could have been great if it had been better memory bandwidth”, “SM-121 is a fake /second-class Blackwell chip” yadda, yadda.…
…standard for energy efficiency in AI data centers. Extreme co-design across every stack layerincluding chip design, manufacturing (with tools like cuLitho and cuEST), GPU-accelerated EDA, and advanced cooling solutionsenables substantial…
…Microsoft's Maia 200 AI accelerator has 216GB of memory, outperforms Amazon and Google chips Read more : Marvell unveils its new custom HBM compute architecture to optimize cloud AI accelerators Additionally, the…
…The toolkit provided computer vision and deep learning inference tools optimized for Intel® processors, resulting in significant performance improvements. By accelerating Intel® hardware with the Intel® Distribution of OpenVINO™ toolkit, DeepSight was…