Last updated 06-27-2026
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Ocean Network
Ocean Network is a decentralized peer-to-peer compute marketplace for pay-per-use GPU jobs. You pick an Ocean Node with the CPU, RAM, and GPU specs you need, submit a containerized workload, and get results back without provisioning servers or hopping between cloud consoles.
The workflow centers on Ocean Orchestrator, an extension for VS Code, Cursor, Windsurf, and Antigravity. You choose resources in the dashboard, launch a job from your editor in one click, and outputs land in a local folder when processing finishes. The site calls this a code-to-node path: write locally, run remotely, pull artifacts back.
Billing runs through an escrow wallet. Funds lock before a job starts and release only after the node marks the run successful, so you pay for runtime rather than idle capacity. Published H200 environments start at .16/hr on the site, and new users can claim in complimentary GPU credits through the dashboard grant program.
Ocean Network targets ML engineers and researchers who want GPU compute without traditional cloud setup overhead, plus GPU owners who want to monetize idle hardware by running paid jobs for other users.
Launch containerized jobs from VS Code, Cursor, Windsurf, or Antigravity without switching apps
H200 SXM5 nodes from .16/hr with 440 GB RAM, 40 vCPUs, and 1000 GB disk
Escrow locks your budget upfront and bills only after the job completes successfully
Results, logs, and metrics save to your local folder when the run finishes
Ships with Python and JavaScript templates, or bring your own custom container
H200 GPU environments listed from .16/hr on the site, below AWS and Google Cloud in their published comparison.
Editor-native workflow supports VS Code, Cursor, Windsurf, and Antigravity through Ocean Orchestrator.
Escrow billing charges only after a job is marked successful, not for idle capacity.
complimentary GPU credits are available through the dashboard grant program.
Free CPU test environments let you validate workflows before spending on GPUs.
The platform is still marked beta on the site.
You choose the node yourself; busy nodes queue your job instead of auto-assigning resources.
Node failures require manual rerouting rather than automatic failover to another machine.
No mobile app; workflows run through the web dashboard and desktop IDEs.
Does Ocean Network offer free compute?
Yes. Ocean Network provides free CPU test environments, in complimentary GPU credits through its grant program, and optional test environments that node operators can offer. GPU workloads use pay-per-use billing after credits run out.
Which IDEs work with Ocean Orchestrator?
Ocean Orchestrator supports VS Code, Cursor, Windsurf, and Antigravity. You select resources in the Ocean Network dashboard, then submit and monitor jobs from the extension without leaving your editor.
How does Ocean Network pricing work?
Ocean Network uses pay-per-use billing with escrow-protected payments. H200 SXM5 environments on the site start at .16/hr. You fund an escrow wallet before the job runs, and charges apply only after successful completion.
What workloads can I run on Ocean Network?
Ocean Network runs containerized jobs such as model inference, embeddings, batch processing, data cleanup, and fine-tuning workloads that finish within the job window and produce downloadable outputs.
Do I need to set up servers to use Ocean Network?
No. Ocean Network is serverless for compute users. You choose a preferred Ocean Node, submit a containerized job, and receive results without managing infrastructure or SSH access.
What happens if an Ocean Node fails during my job?
If a node goes offline mid-run, the job can restart on the same node once it is available again. Escrow funds release only when the node marks the job successful. Rerouting to a different node is handled manually by the user.
What programming languages does Ocean Orchestrator support?
Ocean Orchestrator includes templates for Python and JavaScript in the extension workflow. You can also supply a custom container to run jobs in any language your image supports.