HN 提问：租用 GPU，您最看重的是价格、可靠性还是设置？
1 分•作者: tinstar112•6 天前
在租用 GPU 进行机器学习工作负载时，您实际上是如何在不同提供商之间进行选择的？现在有如此多的 GPU 云/GPU 共享平台，其中许多似乎提供相似的 GPU 选项……
那么，如果 GPU 型号相同且功能相似，您是主要选择最便宜的提供商吗？还是说可靠性、可用性、网络/存储以及设置环境对您来说更重要？
我想了解真正的痛点是什么，并在选择提供商时做出适合我的正确决定。
另外也很好奇：您是宁愿自己手动比较提供商，还是使用一个服务，该服务可以根据您的工作负载推荐合适的 GPU/提供商？
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When renting GPUs for ML workloads, how do you actually choose between providers? There are now so many GPU cloud / GPU sharing platforms, and many of them seem to offer similar GPU options....<p>So, if the GPU model is the same and providing similar functionalities, do you mostly choose the cheapest provider? Or do reliability, availability, networking/storage, and setup environment matter more for you?<p>Trying to understand what the real pain point is and make right decision for me when I am choosing the provider.<p>Also curious: would you rather manually compare providers yourself, or use a service that recommends the right GPU/provider based on your workload?