CS

Cerebras CS-3 Rack

rack
2× WSE-3
8x QSFP-DD transceiver, 4x100G; 214 Pb/s on-wafer fabric per engine
2024
Power
54.0
kW Total
Memory
GB Total

The Cerebras CS-3 Rack packages two CS-3 systems into a single 48 RU cabinet measuring 600 mm by 1200 mm, drawing 54 kW in total: 50.4 kW carried by water and 3.6 kW by air. Networking is eight QSFP-DD transceivers at 4x100G, with a 1 GbE management port, a console port and a PoE flow controller interface. Power is 2+1 redundant at 240V/415Y, three phase, 60 A on IEC 60309 plugs, and water couples through 1.5 inch sanitary fittings with two pairs of supply and return. Between them the two engines hold 88 GB of on-chip SRAM and no DRAM. Cerebras publishes 125 petaFLOPS per engine but footnotes that figure as sparse, and the sparsity is unstructured, so no dense figure is derived.

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System Details

GPU Configuration

GPU Model: Cerebras WSE-3
GPU Count: 2 GPUs
Architecture: Wafer Scale Engine 3
Interconnect: 8x QSFP-DD transceiver, 4x100G; 214 Pb/s on-wafer fabric per engine

System Specifications

Form Factor: rack
Total Power: 54.0 kW
Total Memory:
Memory Bandwidth: 42000000 GB/s

Powered by Cerebras WSE-3

This system utilizes 2 × 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

Documentation & Resources

Official Datasheet

Cerebras CS-3 Rack technical specifications

Download PDF

Cerebras CS-3 datasheet: system, rack and inference cluster specifications

Cerebras • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The Cerebras CS-3 Rack runs 2× WSE-3 GPUs over 8x QSFP-DD transceiver, 4x100G; 214 Pb/s on-wafer fabric per engine.