Cerebras CS-3 Inference Cluster (88-node)
The largest Cerebras inference cluster configuration published, at eighty-eight nodes provisioned as fifty-two cabinets: forty-four WSE cabinets holding two CS-3 systems each, plus eight NET cabinets. Provisioned heat load is approximately 2.54 MW, about 2.4 MW on water and 0.14 MW on air, Cerebras's own provisioned total including networking. Fully loaded a WSE cabinet weighs 843 kg and a NET cabinet 963 kg. The cluster holds 3.872 TB of on-chip SRAM and no DRAM at all. Each engine is rated at 125 petaFLOPS, footnoted by Cerebras as sparse; because that sparsity is unstructured rather than 2:4 structured, no dense equivalent can be derived and none is published.
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System Details
GPU Configuration
System Specifications
Powered by Cerebras WSE-3
This system utilizes 88 × 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
Documentation & Resources
Flopper Spec Sheet
Cerebras CS-3 Inference Cluster (88-node) specifications, generated from our database. Printable.
Vendor product page
Cerebras CS-3 Inference Cluster (88-node) documentation
Cerebras CS-4 datasheet
Cerebras • 2026-08-18
Typical Use Cases
The Cerebras CS-3 Inference Cluster (88-node) runs 88× WSE-3 GPUs over On-wafer fabric per engine, 214 Pb/s; cluster networking via dedicated NET cabinets.