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GPU servers
GPU server supply
GPU servers are the densest hardware we handle: rack chassis built around two to ten graphics accelerators, the power and cooling headroom to run them, and the processor and memory balance to keep them fed. This page organises the GPU range we supply by chassis size and workload.
Models and lines we supply
Lenovo ThinkSystem SR675 V3 GPU Server Supply
3U eight-GPU server on dual AMD EPYC, positioned for AI training and HPC.
View supply options →
4U GPU Server Supply
4U chassis with the thermal headroom high-power accelerators need.
View supply options →10-GPU Rack Server Supply
Ten-GPU rack systems for maximum accelerator density per node.
View supply options →GPU Servers for AI Training
How to match GPU count and memory to a training workload.
View supply options →Choosing a GPU server
Start with the accelerator count your workload can actually use, then work backwards. Training jobs that scale across GPUs reward density — 8-GPU and 10-GPU chassis concentrate interconnect and power in one node. Inference serving usually scales by adding nodes instead, so 2-GPU and 4-GPU 2U servers are often the better buy per rack.
The second decision is the host platform. Dual-socket Intel Xeon and AMD EPYC hosts both appear across the GPU range we supply; the EPYC lines bring high core counts and memory bandwidth for data-heavy pipelines, while the Xeon lines pair with the broadest accelerator configuration lists. Tell us the framework and model sizes you run and we will quote the host that fits.
Power and cooling come first
A fully populated GPU chassis is the heaviest electrical load in most racks. Before quoting, confirm the per-rack power budget and the cooling path at the delivery site; the configuration step is where PSU rating, rail kits and airflow direction get settled, not after the crate arrives.
Questions buyers ask
How many GPUs can one chassis hold?
The range we supply runs from 2-GPU 2U servers to 8-GPU 3U systems and 10-GPU 4U chassis. The right count depends on whether your workload scales within a node or across nodes.
Can GPU servers be configured to order?
Yes. Send the accelerator model and count, the host platform and the memory and storage targets, and the quote is built against that configuration.
Price a configuration like this
Send the model name, your target configuration and the delivery destination. We reply with a configuration-matched quote and the checks to run before shipment.