Introduction to Decentralised GPU Clouds for AI
As AI workloads grow larger and more demanding, centralized GPU providers are struggling to meet global compute needs. Decentralised GPU clouds offer a new, permissionless model for accessing, providing, and monetizing GPU power on a global scale. This course explores how these networks work, why they matter, and how you can participate—whether you’re an AI developer, node operator, or curious learner.
About the Course
“Introduction to Decentralised GPU Clouds for AI” is a five-module course designed to help you understand the foundations and future of distributed compute systems. The course takes you from the early compute bottlenecks in AI to a full picture of how decentralized GPU networks operate, scale, and enable real-world AI applications. You’ll also explore how to participate in these networks as a user, provider, or contributor, and examine the ecosystem’s outlook in the context of restaking, cross-chain messaging, and regulatory readiness.
What You Will Learn
- Why centralized GPU access is limited and how decentralised networks solve it
- The architecture and components of a decentralised GPU network
- How jobs are submitted, verified, and rewarded using smart contracts
- Real-world AI use cases: from training to rendering to DeFi inference
- How to become a compute provider or submit AI workloads
- The future of decentralised compute in an AI-first world
Pre-Course Information
Supported Languages
Suitable For
Instructors
Gate Learn
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