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DigitalOcean Platform Overview

Information about the DigitalOcean platform, like billing details, release notes, product availability by datacenter, support plans, and account details.

Product Home

Information on DigitalOcean product features, pricing, availability, and limits; how to use products from the control panel; how to manage your account, teams, and billing; and platform details, release notes, and product policies.

Reference Home

Manage resources programmatically and integrate across the developer ecosystem with CLIs, APIs, and SDKs.

Support Home

Looking for technical support with your DigitalOcean account or infrastructure? Start here.

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Product Genre

Compute

Build your application the way you want with our suite of compute products including VMs, managed containers, PaaS, and serverless functions.

DigitalOcean Gradient™ AI Agentic Cloud

Build, train, and deploy AI agents with the DigitalOcean Gradient™ AI Agentic Cloud.

Storage

Store and access any amount of data reliably in the cloud, with S3-compatible Spaces Object Storage, network-based Volumes block storage, or NFS-based Network File Storage.

Containers and Images

Create backups, upload custom images, use preconfigured images to create resources, and store Docker images in a private registry.

Managed Databases

Run fully managed database clusters running your choice of database engine and avoid manual setup and maintenance.

Networking

Secure and control the traffic to your applications with VPC networking, traffic filtering, and load balancing.

Management

Track the health of your infrastructure, URLs, and more, set alerts to stay informed, and organize your resources with projects.

DigitalOcean Teams

Teams are how you manage your billing and infrastructure on DigitalOcean. You can work by yourself by remaining the only person on your team or collaborate by adding more people to teams you own.

Developer Tools

doctl Command Line Interface (CLI)

Manage your DigitalOcean resources from the command line with doctl, our open-source command line interface (CLI).

API Overview

Programmatically manage your Droplets, Spaces, and other DigitalOcean resources using conventional HTTP requests. Use RESTful APIs to programmatically manage Droplets, Spaces, and other DigitalOcean resources.

Paperspace APIs, CLIs, and SDKs Overview

Interact with Paperspace resources programmatically using the Paperspace API or CLI, and find documentation for legacy tools.

Ansible

Automate DigitalOcean infrastrucuture and configuration management using the open source Ansible framework.

Terraform

Deploy and change many resources simultaneously using the open source Terraform tool.

PyDo

Official Python client for the DigitalOcean API (OpenAPIv3). Install with pip, authenticate with a personal access token, and call API operations via pydo.Client.

SDK and Client Libraries

Official and community client libraries for the DigitalOcean API, with installation instructions and quickstart examples.

Open-Source Software

We use and contribute to open source software.

DigitalOcean MCP Servers

Use MCP servers to manage DigitalOcean services from any MCP-compatible client.

Latest Updates

Upcoming Changes

• 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-build flag is now deprecated and will be removed in a future release. Remove xl-build from your app spec to avoid potential errors once the flag is fully retired.

• DigitalOcean Managed Caching is being discontinued on 30 June 2025.

  To replace Managed Caching, we are offering Managed Valkey, a Redis-compatible alternative with RDMA and higher throughput. All existing Managed Caching clusters automatically convert to Valkey clusters by 30 June 2025 during your upgrade window, retaining all data.

3 April 2026

• The following models are deprecated from the Model Catalog:

  • Meta Llama 3.1 8B-Instruct
  • Mistral NeMo

  Migrate to Llama 3.3 70B-Instruct (llama3.3-70b-instruct) and gpt-oss-20b (openai-gpt-oss-20b) models respectively, to avoid service disruption.

• The following models are deprecated from DigitalOcean Gradient™ AI Platform:

  • Meta Llama 3.1 8B-Instruct
  • Mistral NeMo

  Migrate to a supported active model to avoid service disruption. For information on our model deprecation policy and recommended replacement models, see Model Support Policy.

1 April 2026

• The following Arcee model is now available on DigitalOcean Gradient™ AI Inference Hub for serverless inference:

  • Trinity Large (Public Preview)

  For more information, see the Available Models page.

• The following Acree model is now available on DigitalOcean Gradient™ AI Platform for serverless inference and Agent Development Kit:

  • Trinity Large (Public Preview)

  For more information, see the Available Models page.

31 March 2026

• Cloud Security Posture Management (CSPM) is now generally available. CSPM evaluates your DigitalOcean resources for misconfigurations and security risks, surfaces findings by severity, and provides guided remediation to help you resolve them. For more information, see the CSPM documentation.

• Updated NVIDIA AI/ML Ready (gpu-h100x1-base, gpu-h100x8-base) Droplet base images are now available in the Control Panel and through the API. The image includes DOCA 2.9.3, CUDA 13.1, CUDA drivers 590 (upgraded from Mellanox 23.10-4.0.9.1, Cuda 12.9 and NVIDIA drivers 575), providing the latest NVIDIA GPU support for AI/ML workloads. We’ve also updated the underlying Linux kernel version from 5.15.0-113-generic to 5.15.0-170-generic.

  Despite their slug names, these images are compatible with all NVIDIA GPU Droplet types we offer.

• NVIDIA B300 GPUs are now generally available in RIC1, by contract only. B300 GPUs are available in 1- and 8-GPU configurations for GPU Droplets via the control panel and via the API using slugs gpu-b300x1-288gb (1 GPU) and gpu-b300x8-2304gb (8 GPUs). Learn more about GPU Droplet plans.

• Control plane firewalls for DigitalOcean Kubernetes are now in general availability. Control plane firewalls restrict access to your cluster’s API server to a set of allowed IP addresses. Worker node IPs are automatically kept in sync as nodes scale up or down.

  You can enable control plane firewalls using the DigitalOcean API, doctl, or Terraform.

• NVIDIA B300 GPUs are now available as single-node GPU worker nodes in DigitalOcean Kubernetes (DOKS), by contract only. To add B300 GPU nodes to your cluster, contact sales. Learn more about GPU worker nodes.

For more, see our full release notes.