Mingxin
R9Tested 2026-05-30Signed / official edition

Mingxin FX100-HBMM vs NFS Baseline on Huawei Ascend 910B

Scope

Huawei Atlas 910B ×8 (Kunpeng-920): model-serving load (DeepSeek-32B/70B), training weight/checkpoint I/O (Qwen-7B), training-data acceleration (YOLOv8/COCO) — three groups against an NFS baseline (Ascend platform, labeled as such; contact us for access).

Original filename: test/微算WS-HBMM5000与华为910B模型推理与训练性能测试.docx

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6.2–9.3×
Faster model loading (vs NFS)

Huawei Atlas 910B platform: DeepSeek-32B serving load 691 s → 112 s (6.2×), DeepSeek-70B 1399 s → 150 s (9.3×).

Provenance: Measured, R9 (Ascend platform)

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