https://www.okdo.com/wp-content/uploads/2023/03/jetson-agx-o...
The 3090 Ti had about 5 times the memory bandwidth and 5 times the compute capability. If that ratio holds for blackwell, the 5090 will run circles around it when it has enough VRAM (or you have enough 5090 cards to fit everything into VRAM).
32gb for the 5090 vs 128gb for digits might put a nasty cap on unleashing all that power for interesting models.
Several 5090s together would work but then we're talking about multiple times the cost (4x$2000+PC VS $3000)
This will make it possible for you to run models up to 405B parameters, like Llama 3.1 405B at 4bit quant or the Grok-1 314B at 6bit quant.
Who knows, maybe some better models will be released in the future which are better optimized and won't need that much RAM, but it is easier to buy a second 'Digits' in comparison to building a rack with 8xGPUs. For example, if you look at the latest Llama models, Meta states: 'Llama 3.3 70B approaches the performance of Llama 3.1 405B'.
To interfere with Llama3.3-70B-Instruct with ~8k context length (without offloading), you'd need: - Q4 (~44GB): 2x5090; 1x 'Digits' - Q6 (~58GB): 2x5090; 1x 'Digits' - Q8 (~74GB): 3x5090; 1x 'Digits' - FP16 (~144GB): 5x5090; 2x 'Digits'
Let's wait and see which bandwidth it will have.