Cloud AI workload demand is growing at an unprecedented rate, while the adoption of generative AI is surging. Every year witnesses the construction of additional AI Factories, which are expanding into Cloud Service Providers (CSP) and cloud-scale data centers.| NVIDIA
Today we are facing new classes of data centers (AI Clouds and AI Factories) that require both accelerated computing and high-performance networking to support artificial intelligence (AI). As a result, the landscape of today’s hyperscale and cloud deployments is changing considerably. With the adoption of GPU-accelerated computing architectures, AI researchers and practitioners can harness the power of distributed accelerated computing that would otherwise be infeasible.| NVIDIA
The NVIDIA Spectrum™-X networking platform is the first Ethernet platform designed specifically to improve the performance and efficiency of Ethernet-based AI clouds.| NVIDIA
NVIDIA today announced that xAI’s Colossus supercomputer cluster comprising 100,000 NVIDIA Hopper GPUs in Memphis, Tennessee, achieved this massive scale by using the NVIDIA Spectrum-X™ Ethernet networking platform, which is designed to deliver superior performance to multi-tenant, hyperscale AI factories using standards-based Ethernet, for its Remote Direct Memory Access (RDMA) network.| NVIDIA Newsroom
