DigitalOcean Droplets are Linux-based virtual machines (VMs) that run on top of virtualized hardware. Each Droplet you create is a new server you can use, either standalone or as part of a larger, cloud-based infrastructure.
GPU Droplets have NVIDIA H100 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. You can also create GPU Droplets with existing Droplet images, but you need to manually install drivers and other software to use the GPUs.
After you log in to the control panel, click the green Create button in the top right to open the Create menu, then click GPU Droplets to go to the GPU Droplet creation page.
This page has similar sections as the regular Droplet creation page, like choosing a datacenter region and SSH keys, and some different options:
Choose an image. We provide an AI/ML-ready image for GPU Droplets which is based on Ubuntu 22.04 and has NVIDIA drivers and software pre-installed.
GPU Droplets also work with existing Droplet images, but you need to manually install GPU drivers.
Choose a GPU plan. We offer a single GPU plan and an 8 GPU plan. GPU Droplets also come with a scratch disk, which is a non-persistent disk to store data for staging purposes.
If you want to enable jumbo frames, you can do so with user data during creation.
Once you finish selecting your options, click Create GPU Droplet. GPU Droplets generally take longer than non-GPU Droplets to initialize, particularly for 8 GPU Droplets, so allow some time for this process to finish.
When creating a GPU Droplet using the CLI, you need to provide values for the --region
, --size
, and --image
flags, which specify the desired datacenter, Droplet plan, and base image for your new Droplet.
The single GPU Droplet size slug is gpu-h100x1-80gb
. The 8 GPU Droplet size slug is gpu-h100x8-640gb
. The AI/ML-ready image slug is gpu-h100x1-base
for single GPU Droplets and gpu-h100x8-base
for 8 GPU Droplets.
When creating a GPU Droplet using the API, you need to provide values for region
, size
, and image
, which specify the desired datacenter, Droplet plan, and base image for your new Droplet.
The single GPU Droplet size slug is gpu-h100x1-80gb
. The 8 GPU Droplet size slug is gpu-h100x8-640gb
. The AI/ML-ready image slug is gpu-h100x1-base
for single GPU Droplets and gpu-h100x8-base
for 8 GPU Droplets.