Ocean Orchestrator

What it does

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

Run containerized pay-per-use compute jobs directly from your favorite editor: Cursor, VS Code, Antigravity, or Windsurf

Ocean Orchestrator connects VS Code, Cursor, Windsurf, and Antigravity to pay-per-use GPU compute on Ocean Network. One click to run. Results back locally. 1 import os 2 import json 3 4 def main (): 5 print ( "Running inference..." ) 6 result = { "message" : "Completed" } 7 with open ( './data/outputs/result.json' , 'w' ) as f: 8 json. dump (result, f) 9 print ( "Algorithm completed!" ) 10 if __name__ == "__main__" : 11 main () $ ocean job start ✓ Connected to Ocean Network chicken-tennessee-hawaii-seven · H200 · Kyoto Cost estimate: $2.16/hr ✓ Job dispatched · job_a8f2c1 [████████░░] 82% · 4m 12s Job running on H200 · $2.16/hr · results → ./outputs/ Code-to-Node Pay-per-use Escrow…from oncompute.ai

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