Andreas Bloomquist is Co-Founder at Chamber, an AI infrastructure optimization platform that helps enterprises run 50% more workloads on existing GPUs without adding hardware. Chamber was accepted into Y Combinator's Winter 2026 batch and is based in San Francisco.

Andreas studied Economics at Occidental College and worked as a Senior Software Engineer at Amazon, where he built and launched multiple AWS products including CloudWatch Application Signals. He has deep expertise in large-scale observability, distributed systems, and AI infrastructure efficiency.

At Amazon, Andreas spent over 9 years building AWS products from zero to one, with a focus on observability and infrastructure optimization. The founding team previously delivered hundreds of millions in cost savings through infrastructure optimization at Amazon.

Chamber addresses the $240 billion annual waste problem where 30-60% of enterprise GPU capacity sits idle. The platform uses agentic AI to continuously monitor GPU clusters, forecast demand, detect unhealthy nodes, and reallocate resources in real time.

Chamber enables companies to run approximately 50% more AI workloads on the same GPUs without manual intervention. The platform operates like an autonomous infrastructure team, helping ML teams move faster while reducing infrastructure waste and eliminating GPU bottlenecks.