Post by Akshar Thakkar

Amazon Web Services (AWS) just mass-deleted a billion-dollar problem. Amazon S3 Files launched yesterday. Your S3 buckets now act as fully-featured file systems. No data copying. No syncing pipelines. No EFS + S3 juggling act. Why this is HUGE for AI builders: → AI agents can persist memory and share state across pipelines — directly on S3 → ML teams run data prep workloads without staging files first → Thousands of compute instances hit the same file system simultaneously → Multiple TB/s aggregate read throughput Translation for non-cloud folks: Until yesterday, object storage and file storage were two separate worlds. You had to duplicate data, build sync pipelines, and pray nothing broke. Now? One place. No compromise. This changes the game for: • Agentic AI architectures (shared state across agent swarms) • RAG pipelines (direct file access to your data lake) • ML training workflows (bye bye data staging) • Any team running file-based tools on cloud data Available in 34 AWS regions. GA. Not preview. Not beta. The companies that move fast on this will cut infra costs and ship AI products 2x faster. The ones that don't will keep paying for sync pipelines that shouldn't exist. Your move. ♻️ Repost if your engineering team needs to see this. Follow for daily AI + cloud infra insights.