Amazon’s Trainium3 accelerator chip — the company’s first AI silicon built on 3nm technology — is now in general release. It comes to market with the Trainium3 UltraServer, a high-density integrated system purpose-built for large-scale GenAI model training. Trn3 UltraServers can scale to 144 Trainium3 chips, delivering up to 362 FP8 PFLOPs. The Trn3 chips are viewed as challengers to Nvidia’s AI GPUs and Google’s Tensor TPUs. But Amazon also announced it will provide enterprises with turnkey AWS AI Factories that utilize key Nvidia components and support its AI chips, allowing customers to choose or combine brands. Continue reading Amazon Rolls Out New AI Chips, UltraServers and AI Factories

Nvidia has taken the wraps off Omniverse Blueprint, a real-time physics engine designed to create digital twins. The software is optimized for computational fluid dynamics (CFD), allowing virtual exploration and refinement of objects that must function in the real world — things like automobiles, airplanes, ships — that are put to everyday use and tasked for production in the field and on set. One of the first use cases is a virtual wind tunnel that lets users simulate and visualize fluid dynamics at interactive speeds, even when changing the vehicle model as it navigates the tunnel. Continue reading Nvidia Unveils Omniverse Blueprint Real-Time Physics Engine

Advanced Micro Devices (AMD), Intel and Nvidia are racing to develop artificial intelligence chips as the market for AI hardware and software skyrockets. Nvidia, which has specialized in high-end GPUs, and AMD, its chief rival, have found that their products have proven useful in AI applications, an incentive for them to focus on that sector. Growth in the semiconductor industry has been volatile in recent months, leading to consolidation, such as the recently announced $105 billion bid by Broadcom to acquire Qualcomm. Continue reading AMD, Intel, Nvidia Race to Build AI Chips for Booming Market