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Chip comparison

AMD Instinct MI250X vs Huawei Ascend 910D

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.

FieldAMD Instinct MI250XHuawei Ascend 910D
Process nodeTSMC N6SMIC N+2 (~7nm)
TDP560 W800 W
Memory128 GB HBM2e192 GB HBM3
Memory bandwidth3,200 GB/s4,000 GB/s
FP16 (dense)383 TFLOPS1,200 TFLOPS
BF16 (dense)383 TFLOPS1,200 TFLOPS
FP8 (dense)2,400 TFLOPS
INT8 (dense)383 TOPS
Form factorOAMOAM
Announced2021-11-082025-04-01
Released2022-06-012025-12-01

Robots running AMD Instinct MI250X

No robots publicly running it yet.

Robots running Huawei Ascend 910D

No robots publicly running it yet.

Data centers with AMD Instinct MI250X

No data centers publicly running it yet.

Data centers with Huawei Ascend 910D

No data centers publicly running it yet.

Common questions

AMD Instinct MI250X vs Huawei Ascend 910D: which is faster for training?

Huawei Ascend 910D has 6.27x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 TFLOPS; Huawei Ascend 910D: 2,400 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

AMD Instinct MI250X vs Huawei Ascend 910D: which has more memory?

Huawei Ascend 910D carries more HBM (AMD Instinct MI250X: 128 GB HBM2e; Huawei Ascend 910D: 192 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AMD Instinct MI250X vs Huawei Ascend 910D: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 W); Huawei Ascend 910D 3.00 (2,400 ÷ 800 W). Huawei Ascend 910D wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · AMD Instinct MI250X full page · Huawei Ascend 910D full page.