Question 1

Why do I need software to manage my GPUs?

Accepted Answer

Management software improves ROI through automated scheduling and workload cleanup. Engineers get GPU availability when they need it, while decision-makers gain visibility into cluster usage and make informed capacity decisions.

Question 2

How does Chamber reduce GPU costs?

Accepted Answer

By minimizing idle time through intelligent scheduling and improving workload efficiency. Our preemptive queue system ensures high-priority jobs run immediately while lower-priority work automatically resumes when resources free up.

Question 3

What infrastructure do you support?

Accepted Answer

Chamber works with any Kubernetes-based GPU cluster, including on-prem, cloud (AWS, GCP, Azure), and hybrid setups. We support NVIDIA GPUs across all major architectures.

Question 4

Is my data secure?

Accepted Answer

Yes. Chamber runs within your infrastructure. We only collect anonymized telemetry—your models, datasets, and code never leave your environment.

See Chamber in action

We'd love to show how Chamber solves the following

Real-time visibility

Smart scheduling

Fault detection

Team governance