Svenska(SV) 4 x DGX Sparks vs AMD Epyc 9xx5 system

AMD Epyc 与 DGX Sparks 在大模型集群上的对比：成本与性能的权衡

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 03:15

Reddit 上的一篇讨论比较了使用 NVIDIA DGX Sparks 构建本地大语言模型（LLM）集群与使用 AMD Epyc 处理器构建系统的成本效益。用户质疑选择 DGX Sparks 的逻辑，认为配备更多内存和可能更少但更强大 GPU 的 AMD Epyc 服务器可能以相同的成本提供更好的性能和带宽。比较突出了理论带宽差异，Epyc 系统显示出更高的潜在吞吐量。 AI

影响关于硬件选择的争论影响着人工智能模型部署的基础设施投资。

排序理由用户生成的讨论，比较了人工智能工作负载的硬件配置。

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AMD Epyc 与 DGX Sparks 在大模型集群上的对比：成本与性能的权衡

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r/LocalLLaMA TIER_1 Svenska(SV) · /u/LeftHandHaku · 2026-09-02 03:15

4 x DGX Sparks 对比 AMD Epyc 9xx5 系统

<div class="md"><p>I see a lot of people buy DGX Sparks, and turn them in to clusters to run large models. Wouldn't it be better to invest $16k into an AMD Epyc server with 768GB or even 384GB of 6000Mhz DDR5 ram, and let's say 2x3090s or 5080s, instead of 4 DGX Sp…

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4 x DGX Sparks 对比 AMD Epyc 9xx5 系统

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