Build AI agents on GPU-powered infrastructure using foundation models and resources such as knowledge bases and agent routes.
GPUs & AI/ML
Validated on 31 Jan 2025 • Last edited on 18 Apr 2025
Build, train, and deploy AI agents with GenAI Platform, or support your custom AI/ML use cases with GPU Droplets, Bare Metal GPUs, and more DigitalOcean GPU offerings.
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.
DigitalOcean Bare Metal GPUs are dedicated, single-tenant servers with 8 GPUs of various models that can operate standalone or in multi-node clusters.
Paperspace is a cloud-based machine learning platform that offers GPU-powered virtual machines and a Kubernetes-based container service.
DigitalOcean 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
14 May 2025
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Serverless inference is now available on the GenAI Platform, allowing you to get direct responses from foundation models without creating an agent. A single API endpoint provides access to hosted models from providers like OpenAI and Anthropic. You can authenticate requests with model access keys, which provide secure access to all available models.
29 April 2025
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You can now view token usage and performance metrics for GenAI agents.
28 April 2025
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You can now rollback to a previous version of a GenAI Platform agent.
For more information, see the full release notes.