华为发布了其Ascend芯片的基准测试，展示了DeepSeek V4模型在训练后阶段的效率提升。这些基准测试表明，华为910C芯片的推理速度约为NVIDIA H100芯片的60%。然而，专家们对该报告仅涵盖最终训练阶段表示担忧，这使得关于初始训练过程和所用硬件的问题仍然存在。 AI
影响 强调了AI训练硬件效率的潜在进步，尽管关于全周期性能的疑问依然存在。
排序理由 该集群讨论了特定AI模型（DeepSeek V4）在特定硬件（华为Ascend芯片）上的基准测试和效率声明，这属于AI基础设施的研究和开发范畴。
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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…
DeepSeek's Ascend post-training showed 2.93-fold efficiency gains over baseline methods. The Huawei 910C chips deliver roughly 60% of an H100's inference speed, suggesting a targeted use case rather than full replacement. # AI # chips # inference https://www. implicator.ai/deepse…