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Chip comparison

NVIDIA A10 Tensor Core GPU vs Tenstorrent Wormhole

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 A10 Tensor Core GPUTenstorrent Wormhole
Process nodeSamsung 8NGlobalFoundries 12nm
Transistors (B)28.3
Die size628 mm²
TDP150 W160 W
Memory24 GB GDDR612 GB GDDR6
Memory bandwidth600 GB/s288 GB/s
FP16 (dense)125 TFLOPS148 TFLOPS
BF16 (dense)125 TFLOPS
INT8 (dense)250 TOPS590 TOPS
Form factorPCIePCIe (n300, n150)
Announced2021-04-122024-07-01
Released2021-04-122024-08-01

Robots running NVIDIA A10 Tensor Core GPU

No robots publicly running it yet.

Robots running Tenstorrent Wormhole

No robots publicly running it yet.

Data centers with NVIDIA A10 Tensor Core GPU

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Data centers with Tenstorrent Wormhole

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Common questions

NVIDIA A10 Tensor Core GPU vs Tenstorrent Wormhole: which is faster for training?

Tenstorrent Wormhole has 1.18x the dense FP16/BF16 throughput of the other (NVIDIA A10 Tensor Core GPU: 125 TFLOPS; Tenstorrent Wormhole: 148 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

NVIDIA A10 Tensor Core GPU vs Tenstorrent Wormhole: which has more memory?

NVIDIA A10 Tensor Core GPU carries more HBM (NVIDIA A10 Tensor Core GPU: 24 GB GDDR6; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA A10 Tensor Core GPU vs Tenstorrent Wormhole: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: NVIDIA A10 Tensor Core GPU 0.83 (125 ÷ 150 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 W). Tenstorrent Wormhole wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · NVIDIA A10 Tensor Core GPU full page · Tenstorrent Wormhole full page.