English(EN) Huawei released efficiency benchmarks for DeepSeek V4 post-training on Ascend chips this week. But experts note the report covers only the final training stage,

华为发布 DeepSeek V4 基准测试，专家质疑范围

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-23 21:14

华为发布了其 DeepSeek V4 模型效率的基准测试，特别强调了其在 Ascend 芯片上训练后阶段的性能。然而，行业专家对该报告省略了初始训练阶段的细节表示担忧，这引发了关于该过程是否使用了 Nvidia 硬件的疑问。 AI

影响这些基准测试为特定硬件上的人工智能模型训练效率提供了见解，可能影响未来的基础设施选择。

排序理由该项目讨论了特定人工智能模型 DeepSeek V4 及其训练基础设施的基准测试，属于研究和基础设施类别。[lever_c_降级自研究：ic=1 ai=1.0]

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-23 21:14

Huawei released efficiency benchmarks for DeepSeek V4 post-training on Ascend chips this week. But experts note the report covers only the final training stage,

Huawei released efficiency benchmarks for DeepSeek V4 post-training on Ascend chips this week. But experts note the report covers only the final training stage, leaving open whether Nvidia hardware handled the initial model training. # AI # China # semiconductors https://www. imp…

链接 implicator.ai/deepseeks-huawei-chip-train…

报道来源 [1]

Huawei released efficiency benchmarks for DeepSeek V4 post-training on Ascend chips this week. But experts note the report covers only the final training stage,

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