Re:Making AMD GPUs competitive for LLM inference
by MrBuddyCasino on Tuesday December 24, 2024 @09:38AM
(#42502168)
Fun fact: Nvidia H200 are currently half the price/hr of H100 bc people can’t get vLLM to work on it.
Re:Making AMD GPUs competitive for LLM inference
by adrian_b on Tuesday December 24, 2024 @11:24AM
(#42502903)
That seems like a CPU problem, not a GPU problem (due to Aarch64 replacing x86-64).
Re:Making AMD GPUs competitive for LLM inference
by ryao on Tuesday December 24, 2024 @05:29PM
(#42505409)
That is GH200 and it is likely due to an amd64 dependency in vLLM.
Re:Making AMD GPUs competitive for LLM inference
by treprinum on Tuesday December 24, 2024 @02:17PM
(#42504174)
AMD decided not to release a high-end GPU this cycle so any investment into 7x00 or 6x00 is going to be wasted as Nvidia 5x00 is likely going to destroy any ROI from the older cards and AMD won't have an answer for at least two years, possibly never due to being non-existing in high-end consumer GPUs usable for compute.
Re:Making AMD GPUs competitive for LLM inference
by BearOso on Wednesday December 25, 2024 @11:55AM
(#42509704)
No high-end consumer RDNA4 GPU this cycle. And it's only missing the very high-end model. So we'll still get at least a 7800xt equivalent and whatever CDNA MI models they come out with.
The market for the extreme high-end consumer is pretty small, so they're only missing out on clout.
Re:Making AMD GPUs competitive for LLM inference
by treprinum on Wednesday December 25, 2024 @04:33PM
(#42511311)
The top-end RDNA4 GPU will have 16GB RAM. That's a massive regression compared to 7900XTX and performance-wise it should be at best at the 7900XTX level. We are discussing AMD cards for LLM inference where VRAM is arguably the most important aspect of a GPU and AMD just threw in the towel for this cycle.
[1] https://blog.vllm.ai/2024/10/23/vllm-serving-amd.html [2] https://embeddedllm.com/blog/vllm-now-supports-running-gguf-...