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Chip comparison

Cerebras WSE-3 (Wafer-Scale Engine 3) vs Intel Gaudi 2

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldCerebras WSE-3 (Wafer-Scale Engine 3)Intel Gaudi 2
Process nodeTSMC N5TSMC N7
Transistors (B)4000
Die size46225 mm²
TDP23000 W600 W
Memory44 GB on-die SRAM96 GB HBM2e
Memory bandwidth21,000,000 GB/s2,450 GB/s
FP16 (dense)62,500 TFLOPS
BF16 (dense)432 TFLOPS
Form factorwafer-scale (single-wafer system)OAM
Announced2024-03-132022-05-10
Released2024-04-012022-09-01

Robots running Cerebras WSE-3 (Wafer-Scale Engine 3)

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Robots running Intel Gaudi 2

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Data centers with Cerebras WSE-3 (Wafer-Scale Engine 3)

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Data centers with Intel Gaudi 2

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Common questions

Cerebras WSE-3 (Wafer-Scale Engine 3) vs Intel Gaudi 2: which is faster for training?

Cerebras WSE-3 (Wafer-Scale Engine 3) has 144.68x the dense FP16/BF16 throughput of the other (Cerebras WSE-3 (Wafer-Scale Engine 3): 62,500 TFLOPS; Intel Gaudi 2: 432 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Cerebras WSE-3 (Wafer-Scale Engine 3) vs Intel Gaudi 2: which has more memory?

Intel Gaudi 2 carries more HBM (Cerebras WSE-3 (Wafer-Scale Engine 3): 44 GB on-die SRAM; Intel Gaudi 2: 96 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Cerebras WSE-3 (Wafer-Scale Engine 3) vs Intel Gaudi 2: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Cerebras WSE-3 (Wafer-Scale Engine 3) 2.72 (62,500 ÷ 23000 W); Intel Gaudi 2 0.72 (432 ÷ 600 W). Cerebras WSE-3 (Wafer-Scale Engine 3) wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Cerebras WSE-3 (Wafer-Scale Engine 3) full page · Intel Gaudi 2 full page.