Cudo Compute

Cudo Compute, addresses diverse GPU workloads, spanning AI model training, HPC tasks, and even crypto mining. It leverages container technologies and offers monitoring tools initially developed for mining but equally effective for tracking AI job metrics.

The documentation describes an API that allows you to provision and manage GPU nodes programmatically, enabling integration with common CI/CD pipelines. You can tailor each deployment to your exact needs by specifying GPU models, CPU, and memory. Cudo’s monitoring system reveals real-time statistics like power draw and temperature, which can be vital for large compute tasks. If you want to maintain granular control over resource usage and costs, Cudo provides a unified dashboard to spin up and tear down instances, making it convenient for shorter proof-of-concept projects or longer production runs. Its automated scaling features further facilitate dynamic workloads, a key benefit for AI research where computational needs can shift rapidly.