Overview
Clients use the OpenGPU Network to run computational tasks on distributed GPUs.
Why OpenGPU for Clients
OpenGPU is a task marketplace, not a GPU marketplace. You don't manage infrastructure. Just define your task, set time limits and rewards, and let providers compete to deliver results.
Publish tasks, not rent GPUs
No infrastructure management
Providers compete for your work
Pay only for completed tasks
How It Works
Create a Source — Define your execution environment (Docker container + requirements)
Publish Tasks — Submit jobs with payment to your Source
Get Results — Providers compete to execute; you receive results
Tools Available
Web-based source/task management
Programmatic integration
API access without blockchain (external)
Quick Paths
I want to run inference quickly: → Use Relay — API-based, no blockchain knowledge needed
I want to publish my own model: → Publishing Sources — Create a custom Source
I want to automate task submission: → Using the SDK — Programmatic access
Costs
Pay per task in $OGPU
Real-time competitive pricing
No minimum commitments
Payment held in escrow until completion
AI Agents
Clients can leverage AI agents to optimize task pricing and provider selection. See AI Agents for details.
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