このエピソードについて
In this episode, Austin chats with Pranav Raval (Aptos Labs) about Shelby, a new decentralized storage protocol designed to address the performance and cost limitations of earlier decentralized storage systems. The conversation dives into Shelby’s architecture and market opportunities. Unlike previous systems that rely on unreliable “spare capacity” nodes, Shelby uses professionally operated data centers, erasure coding for reliability, and incentives for fast data retrieval. This design enables new use cases beyond simple file storage, including verifiable advertising analytics, IP-protected generative media, AI data marketplaces, and distributed AI inference at the network edge. Pranav explains how Shelby can position itself as infrastructure for data-intensive applications—especially those driven by AI—while offering an alternative to the expensive egress fees and regional data silos of traditional cloud providers.
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