[Lindon4290]

Going by the results from the article/video, a single MI300X is even outperforming a Groq system [1]

The video shows that the optimized run with Llama-2 70B gives 314 tokens/s for a bs=1 with 256 prompt + 256 generation. The Groq system is also a bs=1 apparatus and gets you around 300 tokens/s. Wild!

[1] https://wow.groq.com/groq-sets-new-large-language-model-perf...

[latchkey]

Someone else on reddit [0] noticed this as well.

Groq does not talk about how many cards they need to get those results. Someone replied to me with this comment [1] a while ago...

[0] https://www.reddit.com/r/AMD_MI300/comments/1dqhrbn/comment/...

[1] https://news.ycombinator.com/item?id=39966620

[Lindon4290]

Yeah, the rumours(?) are a groq system required to produce 300+ t/s on a Llama-2 70B (bs=1) requires 576 chips (9 racks) [1]

So, that's like $10M+ for serving bs=1 Llama-2 70B vs whatever a single MI300X costs?

[1] https://twitter.com/swyx/status/1759759125314146699

[latchkey]

The exact cost of a mi300x is closely guarded by amd. I buy them and do not know how much they are. That said a whole chassis of 8x is far far far less than 10m.

[Lindon4290]

You should make a whole post about this! Like how a single MI300X outperforms groq at bs=1.

300 tokens/s with bs=1 for a llama-2 70B on a single card is no joke.

[latchkey]

This is why I sponsored doing the chipsandcheese tests on my hardware. That instigated Elio to up the game even further.

All open source by the way.

[fancyfredbot]

Thank you for sponsoring this. There's so little buzz about this hardware despite the fact it's clearly amazing for AI use cases. I don't understand why not. Maybe this is why Nvidia is the most valuable company in the world - nobody can be bothered to try a competitor.