Cerebras CS-3 Inference Cluster (8-node)
An eight-node Cerebras inference cluster, where a node is one CS-3 system. Cerebras provisions it as five cabinets: four WSE cabinets holding two CS-3 systems each, plus one NET cabinet. Provisioned heat load is approximately 240 kW, of which about 220 kW is carried by water and 20 kW by air. Note that this is Cerebras's own provisioned figure and is higher than eight times the 27 kW system power, because it includes the networking cabinet. The cluster holds 352 GB of on-chip SRAM and no DRAM. Cerebras rates each engine at 125 petaFLOPS but footnotes the figure as sparse, and because the sparsity is unstructured no dense equivalent is derived.
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System Details
GPU Configuration
System Specifications
Powered by Cerebras WSE-3
This system utilizes 8 × Cerebras WSE-3 GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
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Per GPU Memory
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Process Node
TSMC 5nm
Architecture
Wafer Scale Engine 3
Frequently asked questions
How much does the CS-3 Inference Cluster (8-node) cost?
Cerebras sells the CS-3 Inference Cluster (8-node) on quote through OEMs and resellers, and Flopper has no live rental listing for its WSE-3 accelerator to derive an hourly figure from. System rental pricing →
How much power does the CS-3 Inference Cluster (8-node) require?
Cerebras rates the CS-3 Inference Cluster (8-node) at 240 kW, which is the figure to plan power delivery and cooling around; per-GPU draw is listed on the accelerator's own page.
How many GPUs are in the CS-3 Inference Cluster (8-node)?
8. The CS-3 Inference Cluster (8-node) carries 8 Cerebras WSE-3 accelerators in a cluster form factor, and every throughput figure on this page is the total across them. WSE-3 specifications →
Documentation & Resources
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Flopper Spec Sheet
Cerebras CS-3 Inference Cluster (8-node) specifications, generated from our database. Printable.
Vendor product page
Cerebras CS-3 Inference Cluster (8-node) documentation
Cerebras CS-4 datasheet
Cerebras • 2026-08-18
Typical Use Cases
The Cerebras CS-3 Inference Cluster (8-node) runs 8× WSE-3 GPUs over On-wafer fabric per engine, 214 Pb/s; cluster networking via dedicated NET cabinets.