Gateway to Learning

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.

Many DeFi projects face a common challenge: securing reliable liquidity without excessive token emissions or complex treasury management. Traditional models like liquidity mining attract short-term users, while protocol-owned liquidity requires significant resources. Liquidity-as-a-Service (LaaS) offers a solution. It allows protocols to outsource liquidity management to specialized platforms, reducing costs, improving stability, and supporting long-term growth. This course explains how LaaS works, why it’s gaining adoption, and what it means for the future of DeFi infrastructure.

Ethereum’s roadmap toward stateless clients represents one of the most significant protocol shifts since its inception. As state size continues to grow, full nodes face increasing storage and synchronization burdens, threatening decentralization and accessibility. Stateless Ethereum proposes a new validation model where nodes verify blocks using compact cryptographic proofs instead of maintaining the entire state. At the center of this approach are Verkle Trees, a data structure that drastically reduces proof sizes and enables efficient stateless validation. This course provides a comprehensive understanding of this transformation, covering both theoretical foundations and real-world implementations.