Northflank
Deploy AI, services, databases, and jobs securely with Northflank's cloud-native platform
About Northflank
Northflank is a developer platform that simplifies deploying and scaling workloads across any cloud or Kubernetes cluster. Focus on building applications while Northflank handles infrastructure complexity, offering self-service workflows, CI/CD, GPU support, and multi-tenancy, all within your VPC or ours.
FAQ
Northflank pricing is based on runtime usage. Costs include $0.01667 per vCPU per hour, $0.00833 per GB of memory per hour, $2.74 per hour for NVIDIA H100 GPUs, $5.87 per hour for NVIDIA B200 GPUs, $0.06 per GB for network egress, and $0.15 per GB per month for disk storage.
Yes, Northflank supports Bring Your Own Cloud (BYOC) for AWS, GCP, Azure, Oracle, Civo, and CoreWeave. You can also import any Kubernetes cluster to run Northflank in your preferred environment.
You can run containers, AI models, databases, scheduled jobs, inference workloads, and more. Northflank supports AI workloads like Llama4, Deepseek, vector databases, and GPU workloads with custom autoscaling.
Yes, Northflank provides continuous integration and continuous deployment (CI/CD) capabilities. You can connect Git repositories to trigger builds and deployments, and it supports preview, staging, and production environments.
Northflank offers secure multi-tenancy, secrets and config management, and the ability to run workloads in your own VPC. It also provides observability tooling, backups, restores, and rollbacks for secure deployments.
Northflank integrates with GitHub, GitLab, and Bitbucket for GitOps. It also supports Kubernetes clusters on AWS (EKS), GCP (GKE), Azure (AKS), Oracle (OKE), Civo, and CoreWeave.
Northflank supports GPU workloads with NVIDIA H100 and B200 GPUs. You can run AI models, inference workloads, and Jupyter notebooks with custom autoscaling and multi-cloud support for GPUs.
Yes, you can get started with Northflank for free. The website mentions a 'Get started for free' option, allowing you to explore the platform before committing to a paid plan.
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