Build AI agents on GPU-powered infrastructure using foundation models and resources such as knowledge bases and agent routes.
DigitalOcean Gradient™ AI Agentic Cloud
Validated on 31 Jan 2025 • Last edited on 15 Aug 2025
Build, train, and deploy AI agents with the DigitalOcean Gradient™ AI Agentic Cloud:
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 Gradient™ AI Bare Metal GPUs are dedicated, single-tenant servers with eight GPUs per machine. They can run as standalone servers or as part of multi-node clusters.
1-Click Models let you deploy third-party generative AI models on DigitalOcean Gradient™ AI GPU Droplets with no additional setup or configuration.
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
18 December 2025
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The following models are now available on DigitalOcean Gradient™ AI Platform for serverless inference and Agent Development Kit:
For more information, see the Available Models page.
17 December 2025
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Knowledge base chunking and retrieval are now in public preview. Chunking splits your documents into smaller units before indexing, and existing data sources default to section-based chunking.
You can update chunking settings in the control panel or via the API, and retrieve recent chunks using the retrieval endpoint. For more details, see the API reference and chunking best practices.
11 December 2025
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Gradient AI Platform also now supports the Qwen3 Embedding 0.6B (Multilingual) model from Alibaba Qwen in public preview. Select this model for multilingual indexing workflows. Learn more on the embedding models page.
For more information, see the full release notes.