English(EN) Priced per TB/s, the H200 beats the H100 at 6 of 7 providers

NVIDIA H200 GPU 在内存密集型 AI 任务上比 H100 具有成本优势

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 17:39

NVIDIA H200 GPU 相比 H100 提供了更高的内存带宽，使其在 LLM 推理等内存密集型任务中更高效。虽然 H200 的计算能力与 H100 相似，但其更高的内存吞吐量（4.8 TB/s 对比 3.35 TB/s）可以带来每 token 的成本节省，尤其是在 Together AI 等供应商处，其成本不到 H100 的 1.43 倍。即将推出的 Nvidia B200 GPU 预计将在所有指标和供应商上都优于 H100 和 H200。 AI

影响 H200 的内存带宽优势可能带来更具成本效益的 LLM 推理，而即将推出的 B200 则有望实现显著的性能提升。

排序理由对 AI 工作负载的 GPU 定价和性能基准进行分析。[lever_c_demoted from significant: ic=1 ai=0.7]

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NVIDIA H200 GPU 在内存密集型 AI 任务上比 H100 具有成本优势

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Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 对 AI 工作负载的 GPU 定价和性能基准进行分析。[lever_c_demoted from significant: ic=1 ai=0.7]
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dev.to — LLM tag TIER_1 English(EN) · sam ros · 2026-11-02 17:39

Priced per TB/s, the H200 beats the H100 at 6 of 7 providers

<p>An H200 has exactly as much compute as an SXM H100 and usually rents for more, so on a FLOPS spreadsheet it never makes sense. The H200 vs H100 cost per token question turns on a different column: the H200 moves 4.8 TB/s out of memory against the H100's 3.35, and decode spends…

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Priced per TB/s, the H200 beats the H100 at 6 of 7 providers

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