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Chip comparison

NVIDIA B100 (Blackwell) 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 B100 (Blackwell)Tenstorrent Wormhole
Process nodeTSMC 4NPGlobalFoundries 12nm
TDP700 W160 W
Memory192 GB HBM3e12 GB GDDR6
Memory bandwidth8,000 GB/s288 GB/s
FP16 (dense)1,750 TFLOPS148 TFLOPS
BF16 (dense)1,750 TFLOPS
FP8 (dense)3,500 TFLOPS
INT8 (dense)590 TOPS
Form factorSXM6 (700 W envelope)PCIe (n300, n150)
Announced2024-03-182024-07-01
Released2024-11-012024-08-01

Robots running NVIDIA B100 (Blackwell)

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Robots running Tenstorrent Wormhole

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Data centers with NVIDIA B100 (Blackwell)

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Data centers with Tenstorrent Wormhole

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Common questions

NVIDIA B100 (Blackwell) vs Tenstorrent Wormhole: which is faster for training?

NVIDIA B100 (Blackwell) has 23.65x the dense FP16/BF16 throughput of the other (NVIDIA B100 (Blackwell): 3,500 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 B100 (Blackwell) vs Tenstorrent Wormhole: which has more memory?

NVIDIA B100 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA B100 (Blackwell) vs Tenstorrent Wormhole: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · NVIDIA B100 (Blackwell) full page · Tenstorrent Wormhole full page.