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by flaque
1052 days ago
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Ah, we're running a medium amount of compute at zero-margin. The point is not to go sell the Fortune 500, but to make sure a grad student can spend a $50k grant. Right now, it's pretty easy to get a few A/H100s (Lambda is great for this), but very hard to get more than 24 at a reasonable price ($~2 an hour). One often needs to put up a 6+ month commitment, even when they may only want to run their H100s for an 8 hour training run. It's the right business decision for GPU brokers to do long term reservations and so on, and we might do so too if we were in their shoes. But we're not in their shoes and have a very different goal: arm the rebels! Let someone who isn't BigCorp train a model! |
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As a graduate student, thank you. Thankfully, my workloads aren't LLM crazy so I can get by on my old NVIDIA consumer hardware, but I have coworkers struggling to get reasonable prices/time for larger scale hardware.