Launch HN: Chamber (YC W26) – An AI Teammate for GPU Infrastructure

Hey HN, we're Jie Shen, Charles, Andreas, and Shaocheng. We built Chamber ( https://usechamber.io ), an AI agent that manages GPU infrastructure for you. You talk to it wherever your team already works and it handles things like provisioning clusters, diagnosing failed jobs, managing workloads. Demo: https://youtu.be/xdqh2C_hif4 We all worked on GPU infrastructure at Amazon. Between us we've spent years on this problem — monitoring GPU fleets, debugging failures at scale, building the tooling around it. After leaving we talked to a bunch of AI teams and kept hearing the same stuff. Platform engineers spend half their time just keeping things running. Building dashboards, writing scheduling configs, answering "when will my job start?" all day. Researchers lose hours when a training run fails because figuring out why means digging through Kubernetes events, node logs, and GPU metrics in totally separate tools. Pretty much everyone had stitched together Prometheus, Grafana, Kubernetes sch