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Chip comparison

Intel Gaudi 2 vs NVIDIA A100 Tensor Core GPU

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.

FieldIntel Gaudi 2NVIDIA A100 Tensor Core GPU
Process nodeTSMC N7TSMC N7
Transistors (B)54
Die size826 mm²
TDP600 W400 W
Memory96 GB HBM2e80 GB HBM2e
Memory bandwidth2,450 GB/s2,039 GB/s
FP16 (dense)312 TFLOPS
BF16 (dense)432 TFLOPS312 TFLOPS
INT8 (dense)624 TOPS
Launch price (list)$10,000
Form factorOAMSXM4
Announced2022-05-102020-05-14
Released2022-09-012020-05-14

Robots running Intel Gaudi 2

No robots publicly running it yet.

Robots running NVIDIA A100 Tensor Core GPU

No robots publicly running it yet.

Data centers with Intel Gaudi 2

No data centers publicly running it yet.

Data centers with NVIDIA A100 Tensor Core GPU

No data centers publicly running it yet.

Common questions

Intel Gaudi 2 vs NVIDIA A100 Tensor Core GPU: which is faster for training?

Intel Gaudi 2 has 1.38x the dense FP16/BF16 throughput of the other (Intel Gaudi 2: 432 TFLOPS; NVIDIA A100 Tensor Core GPU: 312 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Intel Gaudi 2 vs NVIDIA A100 Tensor Core GPU: which has more memory?

Intel Gaudi 2 carries more HBM (Intel Gaudi 2: 96 GB HBM2e; NVIDIA A100 Tensor Core GPU: 80 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Intel Gaudi 2 vs NVIDIA A100 Tensor Core GPU: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Intel Gaudi 2 0.72 (432 ÷ 600 W); NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W). NVIDIA A100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Intel Gaudi 2 full page · NVIDIA A100 Tensor Core GPU full page.