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Hunter Leath

CEO of Archil and former Amazon EFS engineer, with extensive experience building large-scale cloud storage systems and designing solutions to bridge file-system semantics and object storage.

Top 3 podcasts with Hunter Leath

Ranked by the Snipd community
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11 snips
Jan 20, 2026 • 32min

Solving the 20-Year S3 File System Problem with Hunter Leath

Hunter Leath, CEO of Archil and former Amazon EFS engineer, shares revolutionary insights into cloud storage. He reveals the 20-year struggle of making S3 act like traditional file systems and how Archil bridges this gap. Discussing fast SSDs as a cache layer and seamless integration with existing S3 buckets, Hunter also dives into pricing strategies that can beat Amazon’s services. He emphasizes the resurgence of file systems in the AI age and explains how they can enhance model performance. Prepare for a gamechanger in storage solutions!
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Jan 15, 2026 • 55min

Infinite, shareable volume storage with Hunter Leath, Archil CEO

Hunter Leath, CEO of Archil, discusses their innovative universal storage engine that transforms S3 into a fast, POSIX-compatible disk. He dives into the challenges of state management between S3 and block storage and explains how their SSD-backed layers enhance performance. Hunter shares insights on optimizing small file handling, custom protocol benefits, and multi-cloud capabilities while revealing the trade-offs in their storage approach. From AI use cases to Git performance, his vision showcases a leap in cloud storage technology.
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Sep 8, 2025 • 42min

Future of File Storage for AI (Chat with Hunter, CEO of Archill)

Hunter Leath, CEO of Archil, is on a mission to redefine cloud storage, particularly for AI applications. He discusses the limitations of current storage solutions like S3 and the revolutionary potential of using SSDs and custom protocols. Hunter highlights the complexities of managing unstructured data and why trust in infrastructure is critical. The conversation also ventures into future possibilities for file storage as well as practical applications ranging from serverless Jupyter notebooks to the demands of continuous integration and delivery.

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