SKIL Documentation

Skymind Intelligence Layer

The community edition of the Skymind Intelligence Layer (SKIL) is free. It takes data science projects from prototype to production quickly and easily. SKIL bridges the gap between the Python ecosystem and the JVM with a cross-team platform for Data Scientists, Data Engineers, and DevOps/IT. It is an automation tool for machine-learning workflows that enables easy training on Spark-GPU clusters, experiment tracking, one-click deployment of trained models, model performance monitoring and more.

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Single Server Requirements

The minimum requirements for a single-node SKIL installation are:

  • Quad-Core Processor with AVX instructions
  • 16 GB RAM
  • Minimum 1Gbps network connection
  • 50GB of disk space

The following specs are recommended for production use:

  • Eight-Core or better Processor with AVX2 instructions
  • 64 GB RAM
  • Minimum 1Gbps network connection
  • 500GB+ of disk space