I'll tell you what. Make the upgrade then give me your old h100
LocalLLaMA
Community to discuss about Llama, the family of large language models created by Meta AI.
I acutally do not think so. Let's have a look at it from various perspectives.
- The H100 is below 100gb ram on a OCI3 form factor - the only relevant for inference - and the near 200gb versoin uses actually 2 cards. THat puts 5 of them into a 10x pcie server.
- The AMD MI300, coming around the same timeframe, in their SGC form factor has 8 cards of near 200gb.
So, AMD wins here, at the price of not using CODA - which may not be an issue.
Now, performance. The 4.8TB speed are absolutely amazing. 5.2tb on AMD and end of the year totally new architectures make a joke out of that with memory integrated computing, like the DMatrix Corsair C8.
I am not sure where NVidia - outside their ecosystem - will justify the price. Anyone who buys it - pressure to deliver may be a point - will get bitten soon.
I suppose the real big thing factoring into scalability isn't necessarily CUDA, but TensorRT, which, yes is built on top of CUDA... I haven't been keeping up with the actual hardware capabilities in AMD's stuff wrt tensor cores, but basically what we're seeing is TensorRT is able to better utilize nvidia's tensor cores and extract much more out of the available memory bandwidth... if AMD can get close (it seems like we can only hope for them to get close), if they can produce significantly beefier hardware that sells for less, and the software can actually come close (this is the crux of it) then we may have some real competition
You're doing this all wrong. You wait till someone buys the H200 for you and their startup fails. Then you scoop it up on the low during the fire sale to appease their creditors.
Even with a firesale they will be able to get rid of it quickly and almost if not exactly full price