Serving 100s of LLMs on 1 GPU with LoRAX - Travis Addair | Stanford MLSys #84

[@voncolborn9437]

Great presentation. It is interesting to see the practical side of running a bunch of LLMs. Ops makes it happen. Coming from the old, really old, school of computing with massive multi-user, time-share systems, it is interesting to see how no matter how much computing changes, aspects of it remain the same. Through-put, latency, caching and scheduling is still central. All that seems to have changed is the problem domain. We do, in deed, live in intereswting times.

[@conan_der_barbar]

great talk! still waiting for the open source release 👀

[@suleimanshehu5839]

Please create a video on fine tuning MoE LLM using LoRa adapters such as Mixtural 8x7B MoE LLM within your framework

[@Gerald-iz7mv]

hi, do you have any links to benchmarks you can run to measure latency, throughput for different model and frameworks etc?

[@fastcardlastname3353]

This shall change the landscape of multiple agents if it's promised.

[@mohamedfouad1309]

Github link😅

[@nithinrao7191]

Second

[@absbi0000]

First