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Ocean Orchestrator

Ocean Orchestrator

Run AI jobs from your IDE with a one-click workflow Developer Tools • Artificial Intelligence • Data Science 12 145 Lightfield AI-native CRM that builds itself and does work for you Sales • Artificial Intelligence • CRM

Website oncompute.ai
Overview

What it is

Access GPUs worldwide directly from your IDE. Ocean Orchestrator lets you run AI training and inference jobs while paying only for the compute you use. Jobs run on GPUs like NVIDIA H200s across the Ocean Network Escrow-based payments protect both users (data scientists, developers) and node operators, releasing funds only after successful execution, bringing reliable, decentralized GPU compute to real workloads with transparent pricing, global availability, and verifiable job execution at scale

Intent

I need it when

Access GPU compute without managing servers or cloud accounts

Ocean Orchestrator provides serverless GPU compute: no SSH, no provisioning scripts, no config files. Users pick a node, submit a job, and get results back. The $100 complimentary credit offer lets new users test workflows immediately.

Execute batch inference, embeddings, or data processing at predictable costs without paying for idle infrastructure

The platform uses escrow-protected pay-per-use billing that charges only for actual job runtime, not idle capacity. Cost is locked and visible before execution begins, and any unused budget returns to the wallet after job completion.

Automate containerized workloads (Python, JavaScript, or custom containers) and retrieve outputs automatically

Users submit containerized jobs that run on Ocean Network nodes and automatically save results and logs to their local folder. The platform supports Python and JavaScript templates plus custom containers for any language.

Run GPU-accelerated compute jobs directly from my code editor without cloud setup overhead

Ocean Orchestrator integrates with VS Code, Cursor, Windsurf, and Antigravity to launch containerized GPU jobs with one click. Users select resources in the dashboard, submit from their editor, and receive results locally—eliminating manual infrastructure provisioning and cloud console switching.

Run training loops and model evaluation with flexible GPU selection across multiple regions

Ocean Orchestrator lets users change GPU type and region before each run without re-provisioning. The dashboard shows live availability and pricing for H200, H100, and other GPU environments across regions like Amsterdam, Frankfurt, and East Asia.

Drop

Not a fit when

  • User requires long-running persistent servers or always-on infrastructure; Ocean Orchestrator is designed for containerized jobs that finish and return results
  • User needs traditional cloud provider integrations or managed Kubernetes; Ocean Orchestrator connects to decentralized Ocean Network nodes only
  • User requires real-time streaming or continuous data processing; the platform is optimized for batch jobs with defined start and end points
  • User works exclusively in IDEs not supported by the extension (only VS Code, Cursor, Windsurf, and Antigravity are compatible)
  • User needs automatic job rerouting on node failure; Ocean Network requires manual rerouting decisions to maintain user control
Commercials

Pricing

Pay-per-use GPU compute with escrow protection. Pricing varies by GPU type and region. H200 SXM5 environments start at $2.16/hr. Users receive $100 in complimentary credits to start. View pricing