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Chip comparison

AMD Instinct MI325X 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 MI325XHuawei Ascend 910D
Process nodeTSMC N5 + N6 (chiplet)SMIC N+2 (~7nm)
TDP1000 W800 W
Memory256 GB HBM3e192 GB HBM3
Memory bandwidth6,000 GB/s4,000 GB/s
FP16 (dense)1,307 TFLOPS1,200 TFLOPS
BF16 (dense)1,307 TFLOPS1,200 TFLOPS
FP8 (dense)2,614 TFLOPS2,400 TFLOPS
INT8 (dense)2,614 TOPS—
Form factorOAMOAM
Announced2024-10-102025-04-01
Released2025-01-012025-12-01

Robots running AMD Instinct MI325X

No robots publicly running it yet.

Robots running Huawei Ascend 910D

No robots publicly running it yet.

Data centers with AMD Instinct MI325X

No data centers publicly running it yet.

Data centers with Huawei Ascend 910D

No data centers publicly running it yet.

Common questions

AMD Instinct MI325X vs Huawei Ascend 910D: which is faster for training?

AMD Instinct MI325X has 1.09x the dense FP8 throughput of the other (AMD Instinct MI325X: 2,614 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 MI325X vs Huawei Ascend 910D: which has more memory?

AMD Instinct MI325X carries more HBM (AMD Instinct MI325X: 256 GB HBM3e; 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 MI325X vs Huawei Ascend 910D: which is more power-efficient?

Dense FP8 TFLOPS per watt: AMD Instinct MI325X 2.61 (2,614 ÷ 1000 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 MI325X full page · Huawei Ascend 910D full page.