About the Lenovo ThinkSystem SR680a V3
The Lenovo ThinkSystem SR680a V3 is an 8U flagship AI training platform built around NVIDIA's HGX B200 architecture. Its integrated eight-GPU baseboard pairs eight NVIDIA B200 SXM6 accelerators — 180GB of HBM3e each, 1.44TB in total — with two 5th Gen Intel Xeon Scalable processors of up to 64 cores apiece, and links every GPU over 900 GB/s NVLink so that the largest generative-AI, deep-learning and HPC models can be trained without leaving the chassis. Eight front-accessible PCIe 5.0 FHHL slots offer GPUDirect connections for up to eight NDR 400Gb/s InfiniBand adapters, giving the fabric bandwidth needed to scale training across a cluster.
Memory reaches 4TB across 32 TruDDR5 DIMMs, while 16 hot-swap 2.5in PCIe 5.0 NVMe bays plus dual M.2 boot devices keep data close to the accelerators. Eight 3200W 80 PLUS Titanium power supplies with N+N redundancy and 19 dual-rotor fans keep the kilowatt-class GPUs fed and cooled, and Lenovo XClarity Controller 2 with a PFR hardware Root of Trust and TPM 2.0 secures the platform end to end. Servnet configures, prices and supplies the ThinkSystem SR680a V3 in the UK, with every specification here verified against the Lenovo Press product guide.
Lenovo ThinkSystem SR680a V3 — FAQs
How many GPUs does the SR680a V3 support and which model?
It ships with a fixed, integrated NVIDIA HGX baseboard carrying eight NVIDIA B200 SXM6 GPUs, each with 180GB of HBM3e memory (1.44TB total), linked by 900 GB/s NVLink. The GPU count is not configurable.
What processors and memory does it use?
Two 5th Gen Intel Xeon Scalable (Emerald Rapids) processors of up to 64 cores each are required, alongside up to 32 TruDDR5 RDIMMs for a maximum of 4TB, running at up to 5600 MHz.
What storage and cluster networking are available?
Up to 16x 2.5in hot-swap PCIe 5.0 NVMe drives (up to 245.76TB) plus two M.2 NVMe boot devices, and up to eight NDR 400Gb/s InfiniBand adapters with GPUDirect through the front FHHL slots for scale-out training.
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