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English(EN) 67-84 t/s DeepSeek flash v4 off 2x GX10s

DeepSeek flash v4 在双 GX10 上实现 67-84 t/s

Reddit 的 r/LocalLLaMA 子版块的一位用户分享了他们在 DeepSeek flash v4 模型上取得高 به性能的成功。通过使用两台 ASUS GX10 DGX 计算机,他们能够维持超过每秒 65 个 token 的速度,提示评估为 2570。该用户描述此设置可提供可用结果,并强烈推荐。 AI

影响 展示了特定硬件在本地 LLM 部署中可实现的性能。

排序理由 用户分享的特定硬件配置的性能结果,并非官方发布或基准测试。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

DeepSeek flash v4 在双 GX10 上实现 67-84 t/s

本文如何被排名

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户分享的特定硬件配置的性能结果,并非官方发布或基准测试。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/koalfied-coder ·

    67-84 t/s DeepSeek flash v4 2x GX10s

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w1uug2/6784_ts_deepseek_flash_v4_off_2x_gx10s/"> <img alt="67-84 t/s DeepSeek flash v4 off 2x GX10s" src="https://preview.redd.it/442wtk123dmh1.jpg?width=140&amp;height=105&amp;auto=webp&amp;s=3a9cc3571d37fb5…