AI inference just plays by different rules

kept by eddie may 07

AI inference workloads demand unprecedented concurrency and throughput, exposing cloud storage limits that require a decoupled, software-defined layer to avoid catastrophic failures.

Why Write Engineering Blogs - by Cynthia Dunlop
Expert tech bloggers share diverse motivations for writing engineering blogs, from career advancement to personal expression and teaching at scale.
also on Tanel Poder
Amazon S3 annotations: attach rich, queryable context directly to your objects
Amazon S3 introduces annotations allowing up to 1 GB of mutable, queryable context per object, purpose-built for AI agents and autonomous workflows.
also on #storage, AWS, #cloud-computing
ZeroFS — A log-structured filesystem for S3
ZeroFS provides a log‑structured filesystem over S3‑compatible storage, exposing POSIX via NFS/9P and block devices via NBD with built‑in encryption and caching.
also on #storage, #cloud-computing
Nvidia’s Risky Business – Stratechery by Ben Thompson
Nvidia is partnering with major financial firms to create $500 billion in financing platforms for AI infrastructure, transforming compute into an investable asset class and expanding systemic risk in the AI buildout.
also on #ai-infrastructure, #cloud-computing, #ai-agents
Clouded Judgement 5.22.26 - The Neocloud Boom
The AI infrastructure buildout could require $7.5 trillion in spending by 2030, creating trillions in enterprise value for neoclouds like CoreWeave and Nebius.
also on #ai-infrastructure, #cloud-computing