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Cerebras CS-3 Inference Cluster (88-node)

cluster
88× WSE-3
On-wafer fabric per engine, 214 Pb/s; cluster networking via dedicated NET cabinets
2024
Power
2540.0
kW Total
Memory
—
GB Total

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

GPU Model: Cerebras WSE-3
GPU Count: 88 GPUs
Architecture: Wafer Scale Engine 3
Interconnect: On-wafer fabric per engine, 214 Pb/s; cluster networking via dedicated NET cabinets

System Specifications

Form Factor: cluster
Total Power: 2540.0 kW
Total Memory: —
On-die SRAM: 3.87 TB
Memory Bandwidth: 1848 PB/s

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

—

Per GPU Memory

—

Process Node

TSMC 5nm

Architecture

Wafer Scale Engine 3

Frequently asked questions

How much does the CS-3 Inference Cluster (88-node) cost?

Cerebras sells the CS-3 Inference Cluster (88-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 (88-node) require?

Cerebras rates the CS-3 Inference Cluster (88-node) at 2540 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 (88-node)?

88. The CS-3 Inference Cluster (88-node) carries 88 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 (88-node) specifications, generated from our database. Printable.

Vendor product page

Cerebras CS-3 Inference Cluster (88-node) documentation

View ↗

Cerebras CS-4 datasheet

Cerebras • 2026-08-18

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

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.

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