5 ms·
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 gi
by Lindon4290 2y ago
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-performance-record-of-300-tokens-per-second-per-user-on-meta-ai-foundational-llm-llama-2-70b/ https://wow.groq.com/groq-sets-new-large-language-model-perf...
- latchkey 2y agoSomeone 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/laq9xtm/ https://www.reddit.com/r/AMD_MI300/comments/1dqhrbn/comment/... [1] https://news.ycombinator.com/item?id=39966620 https://news.ycombinator.com/item?id=39966620
- Lindon4290 2y agoYeah, 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 https://twitter.com/swyx/status/1759759125314146699
- latchkey 2y agoThe 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 2y agoYou 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 2y agoThis 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 2y agoThank 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.