NVIDIA announced that Dell Technologies, Hewlett Packard Enterprise and Lenovo will be the first to integrate its trademarked NVIDIA Spectrum-X Ethernet networking technologies for AI into their server lineups to help enterprise customers speed up generative AI workloads.
Purpose-built for generative AI, Spectrum-X offers enterprises a new class of Ethernet networking that can achieve 1.6 times higher networking performance for AI communication versus traditional Ethernet offerings.
The new systems coming from three of the top system makers bring together Spectrum-X with NVIDIA Tensor Core GPUs, NVIDIA AI Enterprise software and NVIDIA AI Workbench software to provide enterprises the building blocks to transform their businesses with generative AI.
For peak AI workload efficiency, Spectrum-X combines the extreme performance of the Spectrum-4 Ethernet switch; the NVIDIA BlueField-3 SuperNIC, a new class of network accelerators for supercharging hyperscale AI workloads; as well as acceleration software. Spectrum-X complements BlueField-3 DPUs, the world’s most advanced infrastructure computing platform.
Spectrum-4 is a 51Tb/sec Ethernet switch for AI, providing effective data throughput at scale and under load while minimizing network congestion for multi-tenant, AI cloud workloads. Its intelligent, fine-tuned routing technology always enables maximum use of network infrastructure.
BlueField-3 SuperNICs are designed for network-intensive, massively parallel computing, offering up to 400Gb/s RDMA over Converged Ethernet (RoCE) network connectivity between GPU servers and boosting performance for AI training and inference traffic on the east-west network inside the cluster.
They also enable secure, multi-tenant data center environments, ensuring deterministic and isolated performance between tenant jobs. Boasting a power-efficient, half-height, half-length PCIe form factor, BlueField-3 SuperNICs are ideal for enterprise-class servers.
Acceleration software powering Spectrum-X features NVIDIA software development kits such as Cumulus Linux, Pure SONiC and NetQ — which drive the platform’s performance — and the trademarked NVIDIA DOCA software framework, which is at the heart of BlueField.
NVIDIA AI Enterprise provides frameworks, pre-trained models and development tools for secure, stable and supported production AI. NVIDIA AI Workbench allows developers to quickly create, test and customize pre-trained generative AI models on a PC or workstation — then scale them to virtually any data center or cloud.
For more information, visit https://nvidianews.nvidia.com/.
