Distribute model training across clusters

Distribute training workloads across multi-GPU/multi-node clusters with fault tolerance

Running hyperparameter searches or long training runs across unstable/cloud clusters with automatic fault recovery.

• · training script
• · cluster config (num_workers, GPUs per worker)

• · distributed training run
• · fault-recovered checkpoint

• · ray
• · ray-tune
• · torch/tensorflow

Ray cluster started, training script compatible with distributed backend

• · worker crash without checkpoint
• · straggler nodes slow overall time
• · communication overhead dominates

• · fault tolerance mechanism explained
• · multi-backend support (torch/tf/jax)
• · cluster orchestration shown