Chamber: Autopilot for AI Infrastructure
Turning Idle GPUs Into Enterprise AI Velocity
80 followers
Turning Idle GPUs Into Enterprise AI Velocity
80 followers
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: Autopilot for AI Infrastructure
Hey PH 👋 I’m Charles, CEO & Co-founder of Chamber.
We on a mission to accelerate the world's adoption to AI. We want to solve the silent problem no one is talking about, the $240B/yr wasted on idle GPUs. Across the industry, average GPU wasted measures 40-60% which ultimately stifles growth and innovation.
As former Amazonians, we saw this problem first hand and helped build and scale large-scale infrastructure optimization, accelerating AI innovations and delivering hundreds of millions in cost savings.
Happy to answer anything about how we are able to save countless hours for AI Researchers/Scientists, how we enable teams to run up to 50% more workloads on GPUs they already have, or anything else that comes to mind.
Chamber: Autopilot for AI Infrastructure
AMA: Will give honest responses :)
Chamber: Autopilot for AI Infrastructure
If you’ve ever:
🤯 Bought GPUs only to discover they’re as idle as your gym membership
⏳ Spent hours juggling jobs, clouds, schedulers, and queues
📉 Watched your utilization charts look like a bad Bitcoin dip
…then Chamber was built just for you.
What Chamber does:
• 🔍 Shows exactly where GPUs are being used — and where they’re not
• 🤖 Schedules jobs intelligently across clouds & clusters
• 📦 Lets teams share idle capacity instead of wasting $$$
• 💸 Helps justify spend with real utilization insights
Cloudthread
Very cool - is it designed for GPUs in a private datacenter or GPUs you have hosted in cloud or both?
Chamber: Autopilot for AI Infrastructure
@daniele_packard Both! Support on Prem, reserved, on demand, and spot instances!
Hi Charles , chamber is so unique and highly interesting but what are still some features you would like to include later or industry things that you would want to change in order for chamber to perform better. Like transparent preemption, topology-aware scheduling, MIG time slicing, SM occupancy tracker etc. ??
Chamber: Autopilot for AI Infrastructure
@vini7 TY. Our vision is to put the software management of AI infrastructure on autopilot. Having a team of MLEs/AIops that can make high judgement decisions for you so your researchers/scientists can be exponentially more products while at same time maximizing gpu effiency.
I have existing workloads running on other cloud providers, how easy is it to integrate to Chamber?
Chamber: Autopilot for AI Infrastructure
@apexflux super easy! we support multi-cloud/hybrd, on-prem setups and install within minutes.