Not sure if the measurement method used for this is actually valid or reliable enough, but for reference, Codex 6.1 Sol Standard runs at 19.9 tok/s according to a benchmark I recently saw: https://www.reddit.com/r/codex/s/b4mUszSOv1
I wonder when we will start seeing small commercial accelerators integrated with NVMes; could potentially use far more bandwidth than typical NVMe drive can push thru the four lanes.
Given that you'd have probably a lot more capacity just to get to required bandwidth it could be used to switch very quickly between models (as all stored there would essentially be "loaded")
There are many of these stream-experts-from-SDDD projects now. What's needed is a guide to all of them and maybe for someone to take the best features of each of them and merge them into one uber project.
Why are the models being used so old (in llm years anyway). Why no Qwen 3.8 ?
If anyone needs to see what 62 tokens/second looks like: https://token.qusai.pro/?speed=62
Which seems sufficient for mortals who are not running gas town, but want a local model.
Not sure if the measurement method used for this is actually valid or reliable enough, but for reference, Codex 6.1 Sol Standard runs at 19.9 tok/s according to a benchmark I recently saw: https://www.reddit.com/r/codex/s/b4mUszSOv1
60 toks/sec may be ok for pure chat or token generation, but not for token preprocessing nor any sort of agentic work.
>.. nor any sort of agentic work.
may I ask why?
oai luna runs at 60-70 toks/s; astra runs around 35-45 , are you just worried that your agentic work can't spread across a lot of parallel work?
Good luck when you need to prefill context..
I wonder when we will start seeing small commercial accelerators integrated with NVMes; could potentially use far more bandwidth than typical NVMe drive can push thru the four lanes.
Given that you'd have probably a lot more capacity just to get to required bandwidth it could be used to switch very quickly between models (as all stored there would essentially be "loaded")
I think what we're going to see first is essentially gpus with nvme (or at least flash) bolted on, not sure if that's also what you're saying or not.
would this work on a virtual disk, say w s3 or dropbox
Sure, it’ll just be absurdly slow.
Maybe next you can run an LLM off of some old MFM drives
Not online services. The overhead of TCP and latency I imagine would really lag performance. A SAN over SFP, maybe.
There are many of these stream-experts-from-SDDD projects now. What's needed is a guide to all of them and maybe for someone to take the best features of each of them and merge them into one uber project.