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Azure Databricks offers compute options for machine learning needs from managed clusters.
| Compute | Description |
|---|---|
| Databricks Runtime for Machine Learning | Classic compute environment with pre-built libraries for classic machine learning and deep learning workloads. |
Databricks Runtime for Machine Learning
Databricks Runtime for Machine Learning is a specialized runtime that automates the creation of compute resources with pre-built infrastructure. It is designed for users who want a comprehensive, ready-to-use environment for both classic machine learning and deep learning.
Key features include:
Pre-installed libraries: Includes popular libraries like PyTorch, TensorFlow, and XGBoost, which receive frequent updates and optimized support.
Compute versatility: Supports both CPU and GPU-based instance types, including AWS Graviton for improved price-to-performance.
Optimization: Offers integration with Photon to accelerate Spark SQL, DataFrames, and feature engineering tasks.
Access control: Requires dedicated access mode for secure data access through Unity Catalog.