Ocean Nodes aren’t just about privacy, they can help you build full-stack, decentralised machine learning pipelines

With Ocean Nodes, you can:

1. Share your training data across multiple nodes
2. Distribute those shards intelligently to compute providers
3. Orchestrate training jobs across the network in parallel

This architecture enables horizontal scaling through data-parallel training

Plug in advanced frameworks like PyTorch + Horovod, DeepSpeed, or Ray, and you’ve got a system where compute and data are dynamically allocated, priced, and permissioned, all while preserving privacy and decentralisation

Learn more: https://docs.oceanprotocol.com/developers/ocean-node

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