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 the right resources (like CPU, RAM, and storage) for your workload.
Compute
Validated on 24 Jan 2025 • Last edited on 28 Apr 2026
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 fully managed Platform-as-a-Service (PaaS) that deploys applications from Git repositories or container images. It automatically builds, deploys, and scales components while handling all underlying infrastructure.
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
Upcoming Changes
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App Platform’s XL build resources (8 CPUs and 20 GiB of memory during builds) are now enabled for all apps by default. The
xl-buildflag is now deprecated and will be removed in a future release. Removexl-buildfrom your app spec to avoid potential errors once the flag is fully retired.
30 April 2026
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NVIDIA B300 GPUs are now available as multi-node GPU worker nodes in DigitalOcean Kubernetes (DOKS), by contract only. To add single- or multi-node B300 GPU worker nodes to your cluster, contact sales. See GPU Worker Nodes for all available GPU types and node pool slugs.
28 April 2026
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As part of the DigitalOcean AI-Native Cloud, DigitalOcean AI GPU Droplets is now GPU Droplets.
24 April 2026
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Now in public preview, App Platform supports request-based autoscaling for service components. Services can now scale automatically based on HTTP traffic metrics, including requests per second and P95 request duration, in addition to or instead of CPU utilization. Request-based autoscaling works with both shared and dedicated CPU plans.
For more information, see the full release notes.