Northflank

Northflank is a runtime platform designed for deploying containers, databases, jobs, AI models, and services across any cloud, VPC, or on-premises infrastructure. It provides Kubernetes automation, GPU workloads, ephemeral preview environments, CI/CD pipelines, secrets management, multi-tenancy, and end-to-end observability with backups and rollbacks.

Northflank is suitable for AI-native companies, startups, and enterprises that need to deploy and scale AI models, services, and applications efficiently. It is also ideal for engineering teams looking for a unified platform to manage Kubernetes workloads, databases, and CI/CD pipelines with strong developer experience and security controls.

Northflank supports fractional GPU workloads, allowing users to provision and scale GPUs across multiple clouds. It enables secure execution of untrusted code, long-running AI agents (such as MCP, RAG, TTS, image, video, and voice processing), and inference workloads with flexible autoscaling options.

Yes, Northflank integrates seamlessly with preferred tooling and supports any tech stack. It offers UI, CLI, APIs, and GitOps for developer experience, and can connect with GitHub, GitLab, Bitbucket, and other platforms to trigger builds and deployments.

Northflank supports deployments on its managed cloud or users' own Kubernetes clusters across AWS, GCP, Azure, Oracle, Civo, CoreWeave, and other providers. It also allows on-premises deployments and data residency control, making it flexible for compliance and security needs.

Users can start by deploying applications, databases, or AI models directly from their Git repositories or via the Northflank UI or CLI. The platform offers templates and guided workflows to accelerate the path from development to production, with options to connect existing Kubernetes clusters or use Northflank’s managed cloud.