Ray: A Framework for Scaling and Distributing Python & ML Applications

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  • Опубликовано: 8 ноя 2024

Комментарии • 10

  • @chaitanya_stocks
    @chaitanya_stocks 10 дней назад

    Where I can get this notebook?

  • @sandyjust
    @sandyjust 2 года назад +4

    We have used both Ray and spark for one of our projects. Ray is awesome, however, I find spark is more robust compared to Ray.

  • @feifeizhang7757
    @feifeizhang7757 2 года назад +1

    Great video! Someone is having lunch in the same room?

  • @madhu1987ful
    @madhu1987ful 2 года назад +1

    Can you pls share jupyter notebook used in this ppt? Would be very helpful

  • @nakulmehta6309
    @nakulmehta6309 Год назад

    Well explained

  • @sivasankarir1315
    @sivasankarir1315 2 года назад

    Informative, thanks much.. How to deploy this ray data code into ray cluster in kubernetes ?

    • @nakulmehta6309
      @nakulmehta6309 Год назад

      If you get any answer, please tell them to me as well

  • @vam8775
    @vam8775 2 дня назад

    Now Amazon is moving to ray.. when I just started with spark😢

  • @arthurclerc-gherardi7751
    @arthurclerc-gherardi7751 2 года назад

    Awesome!

  • @ameynaik2743
    @ameynaik2743 Год назад

    How is Ray different from Nvidia triton server?