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Endigest AI Core Summary
Databricks announces the Public Preview of AI Runtime (AIR), a serverless training stack enabling on-demand distributed GPU training on NVIDIA A10s and H100s.
•Serverless, on-demand GPU access with 2-3 click setup in Databricks Notebooks — no cluster provisioning or idle cost
•Optimized for distributed training with pre-installed PyTorch, CUDA, and frameworks like Ray, Hugging Face Transformers, and Composer
•Integrates with Lakeflow Jobs and DABs for production-grade orchestration of long-running and scheduled GPU workloads
•MLflow provides built-in experiment tracking and GPU utilization monitoring; Unity Catalog handles governance and access control
•Current Public Preview supports distributed training across 8x H100s single-node; multi-node is in Private Preview
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks
Google Cloud
Stripe