What happens to your AI job if a GPU node crashes halfway through?

In decentralized computing, failures can happen. The real question is whether the system handles them predictably

Ocean Network is being built with this in mind:

1. Jobs run in isolated containers, so failures stay contained
2. If a node goes down mid-run, the job can restart on the same node once it’s back, keeping execution conditions consistent
3. Funds are only released from escrow when a job is explicitly marked successful
4. If your algorithm fails, you’re billed only for the actual runtime, not the planned window
5. Benchmarking, monitoring, and node reputation help unreliable providers get filtered out over time
6. Users also stay in control: you choose the node, the resources, and when to reroute, so compute stays transparent and reproducible

And soon, running AI jobs won’t start in a cloud console, it will start in your IDE

https://x.com/oceanprotocol/status/2021569483941318933?s=20