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Chip comparison

Intel Gaudi 3 vs NVIDIA A10 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 3NVIDIA A10 Tensor Core GPU
Process nodeTSMC N5Samsung 8N
Transistors (B)28.3
Die size628 mm²
TDP900 W150 W
Memory128 GB HBM2e24 GB GDDR6
Memory bandwidth3,675 GB/s600 GB/s
FP16 (dense)1,835 TFLOPS125 TFLOPS
BF16 (dense)1,835 TFLOPS125 TFLOPS
FP8 (dense)1,835 TFLOPS
INT8 (dense)250 TOPS
Form factorOAMPCIe
Announced2024-04-092021-04-12
Released2024-09-012021-04-12

Robots running Intel Gaudi 3

No robots publicly running it yet.

Robots running NVIDIA A10 Tensor Core GPU

No robots publicly running it yet.

Data centers with Intel Gaudi 3

No data centers publicly running it yet.

Data centers with NVIDIA A10 Tensor Core GPU

No data centers publicly running it yet.

Common questions

Intel Gaudi 3 vs NVIDIA A10 Tensor Core GPU: which is faster for training?

Intel Gaudi 3 has 14.68x the dense FP16/BF16 throughput of the other (Intel Gaudi 3: 1,835 TFLOPS; NVIDIA A10 Tensor Core GPU: 125 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Intel Gaudi 3 vs NVIDIA A10 Tensor Core GPU: which has more memory?

Intel Gaudi 3 carries more HBM (Intel Gaudi 3: 128 GB HBM2e; NVIDIA A10 Tensor Core GPU: 24 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Intel Gaudi 3 vs NVIDIA A10 Tensor Core GPU: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Intel Gaudi 3 2.04 (1,835 ÷ 900 W); NVIDIA A10 Tensor Core GPU 0.83 (125 ÷ 150 W). Intel Gaudi 3 wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Intel Gaudi 3 full page · NVIDIA A10 Tensor Core GPU full page.