Chamber: Autopilot for AI Infrastructure
Turning Idle GPUs Into Enterprise AI Velocity
Chamber: Autopilot for AI Infrastructure launched on February 6, 2026 with 84 votes, #445 of 16,628 launches that month and more than 95% of that year's launches.
What it does
Chamber is building agentic software to automate management of AI infrastructure such that AI/ML teams can get more done with GPU they already have. We're former Amazonians that helped build and scale large-scale infrastructure optimization, delivering hundreds of millions in cost savings.
Chamber — AIOps agents for ML teams. Diagnose failed training jobs, reclaim idle GPUs, and keep every node healthy — so researchers stay focused on building models. YC W26.
Chamber puts AIOps agents on call for your ML infrastructure. They diagnose failed training jobs, reclaim idle GPUs, and keep every node healthy — automatically when it's safe, with a human in the loop when it isn't — so researchers stay focused on building models, not fighting the cluster. One surface for the GPU estate: what's running, what's failing, where capacity is stranded, and what the agents are doing about it. Chambie takes the tedious infra work off researchers — triaging failures, proposing typed fixes, packing idle GPUs — and only asks a human when risk is high. The ops AI scientists shouldn’t do — watching runs, chasing failures, and keeping experiments moving without a human…from usechamber.io
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Cerebrium2024 · cerebrium.ai · ▲300If you haven’t noticed, GPUs are scarce right now. The global boom in inference has demand growing faster than supply can keep up, and at Cerebrium ...





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