GPU Droplets

GPU Droplets have GPUs in a single or 8 GPU configuration. They also come with two different kinds of storage: a boot disk for persistent data and a scratch disk for non-persistent data. Learn more about GPU Droplet plans and features.

We provide an AI/ML-ready image for GPU Droplets that has drivers and software from NVIDIA preinstalled, as well as preconfigured 1-Click Models powered by Hugging Face. You can also create GPU Droplets with existing Droplet images, but you need to manually install drivers and other software to use the GPUs.

How to Create and Configure GPU Droplets

Create and configure GPU Droplets, which are powered by NVIDIA GPUs.

Recommended Drivers and Software for GPU Droplets

Follow our recommended setup for drivers and software on GPU Droplets to use their NVIDIA GPUs.

DigitalOcean Marketplace 1-Click Models Powered by Hugging Face

1-Click Models, powered by Hugging Face, let you deploy third-party generative AI models on GPU Droplets with no additional setup and configuration.

How to Use NVIDIA Container Tools and Miniconda with GPU Droplets

Set up the NVIDIA container toolkit, run Docker for GPU workloads, and install Miniconda to manage Python environments on GPU Droplets.