From single node enterprise deployments to the largest supercomputers in the world, the SR670 V2 can scale to meet any performance demand.
As more workloads leverage the capabilities of accelerators, the demand for GPU´s increases. The ThinkSystem SR670 V2 delivers optimal performance across industry verticals including retail, manufacturing, financial services and healthcare allowing for greater extraction of insights to drive innovation using machine learning and deep learning.
The NVIDIA® A100 Tensor Core GPU delivers unprecedented acceleration—at every scale—to power the world’s highest performing elastic data centers for AI, data analytics, and high-performance computing (HPC) applications. The A100 can efficiently scale up or be partitioned into seven isolated GPU instances, with Multi-Instance GPU (MIG) providing a unified platform that enables elastic data centers to dynamically adjust to shifting workload demands.
The ThinkSystem SR670 V2 is designed to support the vast NVIDIA Ampere datacenter portfolio including NVIDIA HGX A100 4-GPU with NVLink, up to 8 NVIDIA A100 Tensor Core GPU with NVLink Bridge, and NVIDIA A40 Tensor Core GPU with NVLink bridge. Interested in other NVIDIA GPUs? See our full portfolio in the ThinkSystem and ThinkAgile GPU Summary.
Some models feature Lenovo Neptune™ hybrid cooling module which quickly dissipates heat in a closed loop liquid-to-air heat exchanger, delivering the benefits of liquid cooling without adding plumbing.