DigitalOcean Droplets are Linux-based virtual machines (VMs). Each Droplet you create is a new server you can use. Choose from a variety of Droplet plans to get right resources (like CPU, RAM, and storage) for your workload.
Compute
Validated on 24 Jan 2025 • Last edited on 31 Jan 2025
Build your application the way you want with our suite of compute products including VMs, managed containers, PaaS, and serverless functions.
DigitalOcean Kubernetes (DOKS) is a managed Kubernetes service that lets you deploy Kubernetes clusters without the complexities of handling the control plane and containerized infrastructure. Clusters are compatible with standard Kubernetes toolchains and integrate natively with DigitalOcean Load Balancers and volumes.
App Platform is a platform as a service (PaaS) offering that lets you publish code directly to DigitalOcean servers without worrying about the underlying infrastructure, runtimes, or dependencies.
DigitalOcean Functions is a function as a service (FaaS) offering that lets you run your local serverless code in the cloud using Node.js, Python, Go, or PHP without managing any backend infrastructure.
Cloudways is a managed cloud hosting platform where teams can build, deploy, and scale web applications.
Latest Updates
28 July 2025
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DOKS node pools with AMD GPU worker nodes now have the following observability features:
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You can monitor basic metrics, such as GPU VRAM usage.
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We automatically deploy the ROCm Device Plugin for Kubernetes, which enables features such as GPU discovery and health checks.
When creating or updating a cluster with the API, you can install the AMD Device Metrics Exporter plugin with the
amd_gpu_device_metrics_exporter_plugin
request body parameter to ingest GPU metrics into your own monitoring system. -
23 July 2025
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bullseye-backports
for Debian 11 reached end of life on 10 June 2024. Because our Debian 11 image depends on this package, we have deprecated this image.Per our image deprecation policy, this image is available exclusively via the API for the next 30 days before we remove it from our platform.
To fix package manager issues on existing Debian 11 Droplets, edit the APT sources list to change the repository URL for
bullseye-backports
fromdeb.debian.org
to the distribution archive,archive.debian.org
. For example, you can runsudo sed -i '/bullseye-backports/s/deb.debian.org/archive.debian.org/' /etc/apt/sources.list
.
22 July 2025
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We have updated the following buildpacks for App Platform:
- Hugo buildpack: The default version of Hugo has been updated from v0.144.2 to v0.147.8. You can override the default version by setting a
HUGO_VERSION
environment variable. For more information and configuration options, see the buildpack’s documentation page. - Go buildpack: We have added the following Go versions. If you have an existing Go app that uses v0, we recommend upgrading to v1.
- go1.24.2 - go1.24.3
- go1.23.8 - go1.23.9
- PHP buildpack: We have added the following PHP versions. If you have an existing PHP app that uses v1, we recommend upgrading to v2.
- PHP/8.3.20 - PHP/8.3.22
- PHP/8.4.6 - PHP/8.4.8
- Python buildpack: We have added support for the
uv
package manager updated the default version for new apps. If you are on Ubuntu-22 and have an existing Python app that is on v3, v2, v1 or v0, we recommend upgrading to v4. - Node.JS buildpack: We have added the following Nodejs versions. Visit the Node.js buildpack to learn more about specifying a Node.js Engine version.
- Node.js 24.0.0 - 24.2.0
- Node.js 23.11.0 - 23.11.1
- Node.js 22.16.0
- Node.js 22.15.0 - 22.15.1
- Node.js 20.19.0 - 20.19.1
- Ruby buildpack: We have updated the default Ruby version to 3.3.8 and have added the following Ruby versions. If you have an existing Ruby app that uses v1, we recommend upgrading to v2.
- Ruby 3.4.4
- Ruby 3.3.8
- Ruby 3.4.3
- Hugo buildpack: The default version of Hugo has been updated from v0.144.2 to v0.147.8. You can override the default version by setting a
-
An inference-optimized image for GPU Droplets is now availalbe in the control panel. This image includes Docker, vLLM, built-in support for Hugging Face model downloads, and more features for LLM setup and deployment.
For more information, see the full release notes.