DEPLOYDatabase

Chip comparison

Huawei Ascend 910B vs NVIDIA B200 (Blackwell)

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.

FieldHuawei Ascend 910BNVIDIA B200 (Blackwell)
Process nodeSMIC N+2 (~7nm)TSMC 4NP
Transistors (B)208
TDP400 W1000 W
Memory64 GB HBM2e192 GB HBM3e
Memory bandwidth1,600 GB/s8,000 GB/s
FP16 (dense)400 TFLOPS2,250 TFLOPS
BF16 (dense)400 TFLOPS2,250 TFLOPS
FP8 (dense)4,500 TFLOPS
INT8 (dense)800 TOPS4,500 TOPS
Form factorOAM (Atlas 300T A2)SXM6
Announced2023-08-012024-03-18
Released2023-08-012024-11-01

Robots running Huawei Ascend 910B

Robots running NVIDIA B200 (Blackwell)

No robots publicly running it yet.

Data centers with Huawei Ascend 910B

Common questions

Huawei Ascend 910B vs NVIDIA B200 (Blackwell): which is faster for training?

NVIDIA B200 (Blackwell) has 11.25x the dense FP16/BF16 throughput of the other (Huawei Ascend 910B: 400 TFLOPS; NVIDIA B200 (Blackwell): 4,500 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Huawei Ascend 910B vs NVIDIA B200 (Blackwell): which has more memory?

NVIDIA B200 (Blackwell) carries more HBM (Huawei Ascend 910B: 64 GB HBM2e; NVIDIA B200 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Huawei Ascend 910B vs NVIDIA B200 (Blackwell): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Huawei Ascend 910B 1.00 (400 ÷ 400 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.

Huawei Ascend 910B vs NVIDIA B200 (Blackwell): which is more widely used?

Huawei Ascend 910B: 2 robots and 1 data center publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · Huawei Ascend 910B full page · NVIDIA B200 (Blackwell) full page.