Autoscaling machine learning APIs in Python with Ray

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  • Опубліковано 9 січ 2025

КОМЕНТАРІ • 11

  • @andrewparsons1041
    @andrewparsons1041 3 роки тому

    This is very well explained. I particularly liked the second section as few people actually talk about sustainable/scalable machine learning deployments!

  • @subhamagrawal9024
    @subhamagrawal9024 2 роки тому

    This was a really great starter on deploying and serving ml models for production at scale. Thank you soo much!!!

  • @MrAnandml
    @MrAnandml 3 роки тому +1

    Man you are really good in explaining complex stuff 👏.

  • @brunowu1356
    @brunowu1356 3 роки тому

    Great succinct intro to real world ML ops side of thing! Thanks Jonathan. Please make more of these.

    • @jonathanuniversity
      @jonathanuniversity  3 роки тому

      "Jonathan's Guide to DS" starts tomorrow! but... it will probably be a month or more until it catches up to data engineering stuff (unless folks mutiny and demand it sooner ;)

  • @syedsohail1513
    @syedsohail1513 2 роки тому

    Hi ! I have setup a local cluster and connected another laptop but the client node the second laptop won’t do any work at all no cpu usage or memory what is the issue ? Please help all the work is done by my host laptop (laptop1) how can I do load sharing ?

  • @duongkstn
    @duongkstn 9 місяців тому

    Love your knowledge in Ray, what do y stop youtube ?

    • @jonathanuniversity
      @jonathanuniversity  9 місяців тому

      thanks! I stopped mainly because I started other things but might start up again soon

  • @iamvazu2768
    @iamvazu2768 3 роки тому

    bro thank you for this video, awesome one