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
29 April 2025
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You can now view token usage and performance metrics for GenAI agents.
23 April 2025
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You can now create GenAI Platform agents from templates. Templates have predefined agent instructions and foundation models that allow you to quickly create an agent for certain use cases.
22 April 2025
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You can now view the runtime logs for your agents on GenAI Platform. The logs display the events that occur during an agent’s execution, such as the knowledge bases and functions accessed to generate a response.
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You can now view the knowledge bases, functions, and guardrails a GenAI Platform agent uses to generate a response in the Agent Playground and the agent API.
For more information, see the full release notes.