Original Summary

Random thought I've been kicking around. We keep talking about GPU compute in terms of renting machines by the hour. But for a lot of SaaS AI workloads, the GPU itself isn't really what I want. I just want the job done. Say I have 500k documents to process. Why do I care whether that takes one GPU for 20 hours, 10 GPUs for 2 hours, or 100 GPUs for 12 minutes? What I actually care about is: $X + done by tomorrow. Obviously this gets complicated pretty quickly once you bring in privacy, reliability, data transfer, model availability, etc. But has anyone here actually tried to build around this idea? Curious what I'm missing.   submitted by   /u/Helpful-Review-4303 [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/24 20:29:01