Firecracker

Building the Cloud for AI Agents | AWS CEO Matt Garman

Building the Cloud for AI Agents | AWS CEO Matt Garman

a16z's Raghu Raghuram interviews AWS CEO Matt Garman about how AI is reshaping cloud infrastructure: why startups remain central to AWS, how cloud primitives like databases, permissions, and sandboxes must be rethought for agents, how GPU capacity is allocated amid $220B in capex, and how Graviton and Trainium fit into the AI stack. The discussion also covers enterprise barriers to autonomous agents, data privacy with Bedrock, and AWS's own internal use of agents.

Two Roads to Durable Agents: Replay vs. Snapshot — Eric Allam, Trigger.dev

Two Roads to Durable Agents: Replay vs. Snapshot — Eric Allam, Trigger.dev

This talk explores the architectural shift required to build durable, long-running AI agents. It argues against traditional replay-based durability, proposing a two-part solution: treating LLM context as a durable, append-only log and managing the compute state (memory, files, processes) with OS-level snapshot and restore, implemented efficiently using Firecracker microVMs.