LLM inference can be batched, reducing the cost per request. If you have too few customers, you can’t fill the optimal batch size.
That said, the optimal batch size on today’s hardware is not big (<100). I would be very very surprised if they couldn’t fill it for any few-seconds window.
this sounds like an attempt to demand others disprove the assertion that they’re losing money, in a discussion of an article about Sam saying they’re losing money
Can someone explain why I am being downvoted and attacked in this thread? I swear I am not sealioning. Genuinely confused.
@[email protected] asked how request frequency might impact cost per request. Batch inference is a reason (ask anyone in the self-hosted LLM community). I noted that this reason only applies at very small scale, probably much smaller than what OpenAI is operating at.
@[email protected] why did you say I am demanding someone disprove the assertion? Are you misunderstanding “I would be very very surprised if they couldn’t fill [the optimal batch size] for any few-seconds window” to mean “I would be very very surprised if they are not profitable”?
The tweet I linked shows that good LLMs can be much cheaper. I am saying that OpenAI is very inefficient and thus economically “cooked”, as the post title will have it. How does this make me FYGM? @[email protected]
LLM inference can be batched, reducing the cost per request. If you have too few customers, you can’t fill the optimal batch size.
That said, the optimal batch size on today’s hardware is not big (<100). I would be very very surprised if they couldn’t fill it for any few-seconds window.
this sounds like an attempt to demand others disprove the assertion that they’re losing money, in a discussion of an article about Sam saying they’re losing money
What? I’m not doubting what he said. Just surprised. Look at this. I really hope Sam IPO his company so I can short it.
oh, so you’re that kind of fygm asshole
good to know
Can someone explain why I am being downvoted and attacked in this thread? I swear I am not sealioning. Genuinely confused.
@[email protected] asked how request frequency might impact cost per request. Batch inference is a reason (ask anyone in the self-hosted LLM community). I noted that this reason only applies at very small scale, probably much smaller than what
OpenAI is operating at.@[email protected] why did you say I am demanding someone disprove the assertion? Are you misunderstanding “I would be very very surprised if they couldn’t fill [the optimal batch size] for any few-seconds window” to mean “I would be very very surprised if they are not profitable”?
The tweet I linked shows that good LLMs can be much cheaper. I am saying that
OpenAI is very inefficient and thus economically “cooked”, as the post title will have it. How does this make me FYGM? @[email protected]my god! let me fix that
i would swear that in an earlier version of this message the optimal batch size was estimated to be as large as twenty.
yep, original is still visible on mastodon