Chamber: Autopilot for AI Infrastructure

Chamber is a software platform designed to help artificial intelligence and machine learning teams make better use of their graphics processing units or GPUs. Many AI teams have GPUs that sit idle, which can waste a lot of money. Chamber works to find these idle GPUs and use them more efficiently. It helps schedule jobs automatically and can even find hardware problems before they cause issues with AI model training.

Benefits

Chamber helps teams by making their GPU usage much higher. It intelligently schedules jobs so they start faster, sometimes up to three times quicker. The platform also watches over the health of the GPU hardware. If a GPU starts to fail, Chamber can detect it and stop it from being used, preventing wasted time and effort on training that could be ruined by bad hardware. It also offers ways to share GPU resources fairly among teams and provides clear information about how GPUs are being used and how much they cost.

Use Cases

This platform is useful for any team working with AI and machine learning that uses GPUs. It can be used with GPU clusters that are on company servers, in the cloud like on Amazon Web Services, Google Cloud, or Microsoft Azure, or a mix of both. Chamber works with NVIDIA GPUs and is compatible with Kubernetes, a system used to manage computer applications. Because Chamber runs within a company's own systems, sensitive data like AI models and datasets stay secure.

Vibes

Chamber offers a free tool to monitor GPU usage that can be set up very quickly. This tool helps discover GPUs and shows which ones are not being used.

Additional Information

Chamber is built to work with various setups, including on-premise servers and cloud platforms. It focuses on data security by operating within the user's environment.