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Chip comparison

Intel Gaudi 2 vs NVIDIA DRIVE Thor

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 DRIVE Thor
Process nodeTSMC N7TSMC 4NP
TDP600 W130 W
Memory96 GB HBM2e128 GB LPDDR5X
Memory bandwidth2,450 GB/s
BF16 (dense)432 TFLOPS
FP8 (dense)2,000 TFLOPS
INT8 (dense)2,000 TOPS
Form factorOAMAuto-board
Announced2022-05-102022-09-20
Released2022-09-012025-06-01

Robots running Intel Gaudi 2

No robots publicly running it yet.

Data centers with Intel Gaudi 2

No data centers publicly running it yet.

Data centers with NVIDIA DRIVE Thor

No data centers publicly running it yet.

Common questions

Intel Gaudi 2 vs NVIDIA DRIVE Thor: which is faster for training?

NVIDIA DRIVE Thor has 4.63x the dense FP16/BF16 throughput of the other (Intel Gaudi 2: 432 TFLOPS; NVIDIA DRIVE Thor: 2,000 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 DRIVE Thor: which has more memory?

NVIDIA DRIVE Thor carries more HBM (Intel Gaudi 2: 96 GB HBM2e; NVIDIA DRIVE Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Intel Gaudi 2 vs NVIDIA DRIVE Thor: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Intel Gaudi 2 0.72 (432 ÷ 600 W); NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.

Intel Gaudi 2 vs NVIDIA DRIVE Thor: which is more widely used?

Intel Gaudi 2: 0 robots and 0 data centers publicly running it. NVIDIA DRIVE Thor: 11 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · Intel Gaudi 2 full page · NVIDIA DRIVE Thor full page.