GPUs on Northflank

You can deploy services and run jobs on Northflank with GPU access, using Northflank's managed cloud or in your own cloud account.

This lets you run GPU workloads for AI, ML, data analysis, simulations, graphics rendering, and other tasks which require high-performance computing on Northflank.

You can create GPU-enabled projects on Northflank's managed cloud and only pay for the resources consumed, so you can deploy workloads with access powerful GPUs without having to configure your own Kubernetes clusters.

You can deploy and manage GPU-enabled nodes on other cloud providers using Northflank. This allows you to retain control of your infrastructure and existing billing relationships, while using Northflank to deploy GPU workloads.

Any Northflank projects deployed to your cluster will be able to make use of the GPU-enabled nodes.

Generally your GPU workloads will not require any extra configuration to run on Northflank, and you can select a GPU model for your service or job when creating or updating a service.

You will need to build with, or deploy, images compatible with the GPU model you wish to use, and you will need to correctly configure your deployed applications to make use of available GPUs.