# Chamber

> GPU infrastructure optimization platform that shows ML teams where GPUs are idle, auto-schedules jobs, and detects hardware failures before they impact training.

Chamber is a GPU infrastructure optimization platform designed for AI/ML teams to maximize GPU utilization and reduce wasted compute resources. The platform provides real-time visibility into GPU usage across clusters, intelligent job scheduling to fill idle capacity, and proactive hardware fault detection to prevent training run failures. Built by engineers from Amazon, Meta, Microsoft, and other tech companies, Chamber addresses the common problem of 40-60% average GPU utilization in AI/ML workloads.

- **Real-time Visibility** provides comprehensive dashboards showing GPU utilization, idle time, queue depth, and cluster efficiency across your entire fleet, enabling teams to identify exactly where resources are being wasted.

- **Intelligent Scheduling** automatically discovers idle GPUs across teams and schedules work to maximize utilization, with high-priority jobs able to preempt lower-priority ones and resume automatically when resources free up.

- **Fault Detection** continuously monitors hardware health and automatically isolates failing GPUs before they corrupt training runs, preventing silent failures that can waste weeks of compute time.

- **Preemptive Queue** allows high-priority jobs to pause lower-priority workloads, which automatically resume upon completion, ensuring critical work gets resources immediately.

- **Team Fair-Share** enables setting budgets and quotas across teams, with unused allocation automatically lending to others, eliminating GPU hoarding while ensuring fair access.

- **Fleet Metrics** monitors GPU usage, costs, and performance across your entire infrastructure with AI-powered metric insights and automated usage reports.

To get started, deploy Chamber to your Kubernetes cluster with a single helm command. The platform supports any Kubernetes-based GPU cluster including on-prem, cloud (AWS, GCP, Azure), and hybrid setups with NVIDIA GPUs. Chamber runs within your infrastructure, collecting only anonymized telemetry while keeping your models, datasets, and code secure in your environment. The free tier provides immediate GPU utilization visibility with no time limits or credit card required.

## Features
- Real-time GPU utilization monitoring
- Automatic resource discovery
- Cluster-level utilization dashboard
- Intelligent workload scheduling
- Preemptive queue system
- Hardware fault detection and isolation
- Team fair-share resource allocation
- Fleet metrics and performance monitoring
- AI metric insights
- Email usage reports
- Team management
- Automated resource allocations
- Custom webhooks

## Integrations
Kubernetes, AWS, GCP, Azure, Slack, PagerDuty, NVIDIA GPUs

## Platforms
WEB, API

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://www.usechamber.io/
- Documentation: https://docs.usechamber.io/
- EveryDev.ai: https://www.everydev.ai/tools/chamber