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Machine Learning Workflows with HashiCorp Nomad and Apache Spark

Talkat HashiTalks 2019 · 2019-02-21..02-22· [machine-learning, kubernetes]
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HashiCorp provides an open-source Nomad-Spark integration that runs Apache Spark executors and drivers as Nomad tasks, supporting both cluster mode and client mode and passing all spark-submit options through to Nomad. Nomad schedules executors with templates that allow custom resource claims (including device plugins for NVIDIA GPUs), dynamic allocation, job priority and multi-region targeting. The system is proven at scale—Nomad clusters exceed 10,000 nodes and achieve thousands of job deployments per second—used successfully in production.

AI-written summary · about

  1. 0:00Introduction to talk
  2. 1:25What is HashiCorp Nomad
  3. 8:43Apache Spark overview
  4. 11:53Why Nomad for Spark
  5. 13:40Running Spark on Nomad
  6. 21:05Summary and resources
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