Nebius with Saturn Cloud: Setting up an AI development platform
Blog post from Nebius
Saturn Cloud is a platform that automates the infrastructure management necessary for AI teams to focus on their work from day one, bypassing the extensive setup typically required with raw Kubernetes. By managing GPU node pools, Python environments, and secure data access, Saturn Cloud allows infrastructure engineers to concentrate on strategic initiatives while providing AI teams with ready-to-use, scalable environments. It installs into a Managed Kubernetes cluster in Nebius AI Cloud, offering both managed and self-managed deployment options. The installation involves using a Helm chart and Terraform recipes to create necessary node pools and microservices, such as Fluent-bit for logging and Prometheus for monitoring. Upon setup, users can run development workspaces and jobs, which support various IDEs and allow for the deployment of machine learning models and dashboards. Saturn Cloud resources are portable and can be built from public container images or Docker, integrating seamlessly with CI/CD systems. The platform's resources are free for approved Nebius accounts, ensuring accessibility for organizations seeking efficient AI/ML resource management.
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