Ocean Orchestrator

What is Ocean Orchestrator?

Ocean Orchestrator is a VS Code / Cursor extension that lets developers dispatch GPU compute jobs to the Ocean Network with a single click. Instead of setting up cloud VMs, configuring Docker containers, or managing Kubernetes clusters, you simply select your project folder, pick your GPU resources (like H200), and hit "Start." The job runs remotely, and results are saved back to your local machine. Pricing is pay-per-use with escrow, so you only pay for what you actually compute — no idle costs, no forced bundles.

How to use Ocean Orchestrator?

1. Install the Ocean Orchestrator extension in your IDE (VS Code, Cursor, Windsurf, or Antigravity)
2. Select your project folder containing the code you want to run
3. Configure compute resources — choose GPU type (e.g., H), CPU cores, RAM, and region
4. Click "Start PAID Compute Job" to dispatch the job to the Ocean Network
5. Monitor progress in real-time as the job runs on remote GPU hardware
6. Results are automatically saved back to your local machine when the job completes

Core Features

• One-click GPU compute — launch jobs from your editor without leaving your coding workflow
• Pay-per-use pricing — escrow-based payments with no idle costs and no forced bundles
• Multi-IDE support — works with Cursor, VS Code, Windsurf, and Antigravity
• Configurable resources — pick exact CPU, RAM, GPU type, and region before running
• Local results — all compute outputs are saved directly to your local machine
• Real-time monitoring — track job progress with live status updates in your IDE
• free credits — complimentary credits for new users to try the platform

Use Cases

• ML model training — run training jobs on high-end GPUs (H) without managing cloud infrastructure
• AI inference workloads — dispatch inference tasks directly from your development environment
• Data science experiments — run compute-intensive data processing and analysis on demand
• Research and prototyping — quickly test GPU-heavy algorithms without committing to long-term cloud contracts
• Batch processing — process large datasets using scalable GPU compute with pay-per-use pricing