Autopiloting your AI infrastructure
Chamber puts your AI infrastructure on autopilot. Our agentic AI enabled platform orchestrates, governs, and optimizes your AI infrastructure so teams can run ~50% more workloads on the same GPUs without manual intervention. It operates like an autonomous infrastructure team: continuously monitoring GPU clusters, forecasting demand, detecting unhealthy nodes, and reallocating resources in real time to where they create the most impact. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.
Active Founders
Founder
I have a passion for distilling complex problems into elegant simple solutions for customers. Ex-Aamzon Product Manger with experience delivering observability and GPU efficiency solutions. I also have a passion for technical selling and GTM strategies. From my experience both Optimizely and Amazon, I am a believe in the power of experimentation to iterate quickly and deliver results.
I have a passion for distilling complex problems into elegant simple solutions for customers. Ex-Aamzon Product Manger with experience delivering observability and GPU efficiency solutions. I also have a passion for technical selling and GTM strategies. From my experience both Optimizely and Amazon, I am a believe in the power of experimentation to iterate quickly and deliver results.
Founder
I’m a software engineer from Malaysia who moved to the U.S. in 2016. I’ve built high-impact systems at Amount, Avant, Flexport, and Amazon. I’ve worked across fintech, logistics, and GPU-related scheduling tooling, where I saw how hard distributed training is for many teams. I’m now co-founder of Chamber, focused on simplifying GPU orchestration for training workloads.
I’m a software engineer from Malaysia who moved to the U.S. in 2016. I’ve built high-impact systems at Amount, Avant, Flexport, and Amazon. I’ve worked across fintech, logistics, and GPU-related scheduling tooling, where I saw how hard distributed training is for many teams. I’m now co-founder of Chamber, focused on simplifying GPU orchestration for training workloads.
Founder
I am a cofounder of Chamber and a former Senior Software Engineer at Amazon. Over the past 9+ years, I’ve built and launched multiple 0→1 AWS products, with deep expertise in large-scale observability, distributed systems, and AI infrastructure efficiency. At Chamber, I’m applying this experience to build intelligent AI workload orchestration and observability software that helps companies run AI workloads much more efficiently.
I am a cofounder of Chamber and a former Senior Software Engineer at Amazon. Over the past 9+ years, I’ve built and launched multiple 0→1 AWS products, with deep expertise in large-scale observability, distributed systems, and AI infrastructure efficiency. At Chamber, I’m applying this experience to build intelligent AI workload orchestration and observability software that helps companies run AI workloads much more efficiently.
Founded:2026
Batch:Winter 2026
Team Size:4
Status:Active
Location:San Francisco
Primary Partner:Brad Flora