
Cerebras CS-4
The Cerebras CS-4 is a rack built from three Wafer Scale Engine 3 Turbo processors, and the first system on the Cerebras Nexus platform. Each wafer is the same silicon as the WSE-3 in the CS-3, four trillion transistors across 46,225 mm2 on TSMC 5 nm with 900,000 AI cores and 44 GB of on-chip SRAM, run at roughly twice the throughput: 250 PFLOPS and 43.2 PB/s of memory bandwidth per wafer against 125 PFLOPS and 21 PB/s before it. Three of them give the rack 750 PFLOPS, 132 GB of SRAM and 129.6 PB/s of memory bandwidth, with no DRAM anywhere in the system. Cerebras gets the extra throughput from packaging rather than from new silicon: power conversion now sits 0.5 mm from the wafer instead of the roughly 50 mm of a conventional accelerator board, which nearly removes board-level loss and lets the rack push twice as much power into each wafer. Compute, power and I/O are separate modules, the wafer and its power conversion, liquid cooling, I/O and control electronics folded into a rear-mounted Wafer-Scale Backpack with half the component count of the previous generation. The new I/O module doubles bandwidth to 2.4 Tbit/s per wafer and runs two ways, standards-based RoCE v2 RDMA over Ethernet for mixed fleets and switch-free Direct Wafer Links between wafers, which brings wafer-to-wafer latency down to about two microseconds. Cerebras rates the rack at 750 PFLOPS but footnotes that figure as sparse FP16, and its sparsity is unstructured rather than 2:4 structured, so no dense equivalent can be derived by halving and none is published.
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 0 TFLOPS | 0 TFLOPS | — |
Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.
Powered by Cerebras WSE-3
This system utilizes 3 × 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-4 specifications, generated from our database. Printable.
Vendor product page
Cerebras CS-4 documentation
Cerebras CS-4 datasheet
Cerebras • 2026-08-18
Typical Use Cases
The Cerebras CS-4 runs 3× WSE-3 GPUs over Direct Wafer Links, switch-free, plus RoCE v2 RDMA over Ethernet; 7.2 Tbit/s system I/O; 160.5 PB/s on-wafer fabric, delivering 750,000 TFLOPS FP16 dense.