DigitalOcean Gradient

Build, train, and deploy AI agents with DigitalOcean Gradient:

Gradient Platform

Build AI agents on GPU-powered infrastructure using foundation models and resources such as knowledge bases and agent routes.

Gradient GPU Droplets

GPU Droplets are VMs with GPUs in a single or 8 GPU configuration. We provide an AI/ML-ready image and 1-Click Models so you can get started without manual setup.

Gradient Bare Metal GPUs

Gradient Bare Metal GPUs are dedicated, single-tenant servers with 8 GPUs of various models that can operate standalone or in multi-node clusters.

Gradient 1-Click Models

1-Click Models let you deploy third-party generative AI models on GPU Droplets with no additional setup or configuration.

Paperspace

Paperspace is a cloud-based machine learning platform that offers GPU-powered virtual machines and a Kubernetes-based container service.

Bare metal GPUs and GPU Droplets both provide GPU-based compute resources tailored to AI/ML workloads, but they’re each suited for different use cases. Learn more about the difference between bare metal GPUs and GPU Droplets.

Latest Updates

25 July 2025

• You can now add a Dropbox folder as a data source to your knowledge bases. This allows you to index and use files stored in your Dropbox account within your knowledge base.

22 July 2025

• The official Gradient Platform SDK is now in public preview. You can use the SDK to manage Gradient Platform resources, including knowledge bases and generative AI agents, from Python applications.

• Gradient Platform now offers log stream insights, which provide data-driven recommendations to help improve agent efficiency and accuracy by analyzing your agent’s historical trace data. For details, see View Traces, Conversation Logs, and Insights.

9 July 2025

• Gradient Platform is now in general availability.

• Support for Amazon S3 buckets as data sources for Gradient Platform knowledge bases is now in public preview.

• As part of DigitalOcean’s Gradient suite of products, GenAI Platform is now Gradient Platform.

For more information, see the full release notes.