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Chip comparison

NVIDIA DRIVE Thor vs NVIDIA H100 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.

FieldNVIDIA DRIVE ThorNVIDIA H100 Tensor Core GPU
Process nodeTSMC 4NPTSMC 4N
Transistors (B)80
Die size814 mm²
TDP130 W700 W
Memory128 GB LPDDR5X80 GB HBM3
Memory bandwidth3,350 GB/s
FP16 (dense)989 TFLOPS
BF16 (dense)989 TFLOPS
FP8 (dense)2,000 TFLOPS1,979 TFLOPS
INT8 (dense)2,000 TOPS1,979 TOPS
Launch price (list)$30,000
Form factorAuto-boardSXM5
Announced2022-09-202022-03-22
Released2025-06-012022-10-13

Robots running NVIDIA H100 Tensor Core GPU

No robots publicly running it yet.

Data centers with NVIDIA DRIVE Thor

No data centers publicly running it yet.

Common questions

NVIDIA DRIVE Thor vs NVIDIA H100 Tensor Core GPU: which is faster for training?

NVIDIA DRIVE Thor has 1.01x the dense FP8 throughput of the other (NVIDIA DRIVE Thor: 2,000 TFLOPS; NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

NVIDIA DRIVE Thor vs NVIDIA H100 Tensor Core GPU: which has more memory?

NVIDIA DRIVE Thor carries more HBM (NVIDIA DRIVE Thor: 128 GB LPDDR5X; NVIDIA H100 Tensor Core GPU: 80 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA DRIVE Thor vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?

Dense FP8 TFLOPS per watt: NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W); NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.

NVIDIA DRIVE Thor vs NVIDIA H100 Tensor Core GPU: which is more widely used?

NVIDIA DRIVE Thor: 11 robots and 0 data centers publicly running it. NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · NVIDIA DRIVE Thor full page · NVIDIA H100 Tensor Core GPU full page.