What IDEs does Ocean Orchestrator integrate with?

It integrates natively with VS Code, Cursor, Windsurf, and Antigravity.

How does the payment system work?

Escrow-based payments protect both users and node operators, releasing funds only after successful job execution.

What types of jobs can I run?

You can run containerized AI training and inference jobs in Python or JavaScript.

Is there a minimum commitment or preset bundles?

No, it offers total flexibility with pay-per-use pricing and no preset hardware tiers.

Ocean Orchestrator

Run AI jobs from your IDE with a one-click workflow

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What is Ocean Orchestrator

Ocean Orchestrator is a decentralized GPU compute orchestration tool that integrates directly into popular IDEs, enabling data scientists and developers to run AI training and inference jobs with a single click. It provides access to a global network of GPUs like NVIDIA H200s on a pay-per-use basis, with escrow-based payments ensuring security and reliability. This tool simplifies infrastructure management by offering transparent pricing and verifiable job execution at scale.

Key Features

One-click workflow from IDE for AI job execution

Access to global GPU network with hardware flexibility (e.g., NVIDIA H200s)

Pay-per-use pricing with no preset bundles

Escrow-based payment system for secure transactions

Live job monitoring and automatic result retrieval

Use Cases

Data scientists running AI model training without managing cloud infrastructure
Developers performing AI inference for applications directly from their development environment
Researchers needing on-demand GPU compute for experiments at scale
Startups leveraging decentralized compute to reduce costs and increase flexibility
Individuals monetizing idle GPUs by setting up Ocean Nodes

Why do startups need this tool?

Startups often have limited resources and need cost-effective, scalable compute solutions. Ocean Orchestrator allows them to access high-performance GPUs on-demand without upfront investments, reducing infrastructure costs and accelerating AI development. Its decentralized nature and pay-per-use model provide flexibility and transparency, essential for agile and budget-conscious teams.