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AI Knowledge Base · AI Cloud Platforms · GPU clouds

DigitalOcean

Developer-friendly GPU Droplets and an agent platform.

Best for: Start-ups and SMEs that want simple pricing, GPUs on demand and managed building blocks.

Workflow: a client calls your inference API, users sign in through your identity provider, and a load balancer inside the VPC and cloud firewalls spreads requests over autoscaling DOKS GPU nodes or GPU Droplets, with encrypted storage.
The request path on DigitalOcean: your own identity provider for app users, scoped API tokens for the DigitalOcean API, and a load balancer inside the VPC network and cloud firewalls in front of autoscaling GPU nodes.

AI services

  • GPU Droplets with NVIDIA H100 and AMD Instinct GPUs; Paperspace for notebooks and machines.
  • The Gradient AI platform (formerly the GenAI Platform) for agents with knowledge bases and guardrails.
  • Managed Kubernetes (DOKS) with GPU nodes, managed databases and Spaces object storage.

GPUs and accelerators

  • Single-GPU and 8-GPU Droplets; GPU worker nodes in DOKS.

Agents and identity

  • Scoped API tokens and team access controls; bring your own identity provider for apps.

Security and data

  • VPC networking, cloud firewalls and encrypted storage.

Scaling and optimisation

  • Autoscaling DOKS node pools and load balancers for inference APIs.

UK and EU regions

London (LON1) and European regions.

Watch out for

Smaller GPU capacity than hyperscalers; not designed for very large training clusters.

How Workstation helps: We build lean AI stacks on DigitalOcean for start-ups, with CI/CD, monitoring and security from day one.

Scaling AI at large scale with Amazon Bedrock →CI/CD for LLMs, agents and data in the cloud →Securing LLM and agent APIs →The AI agent harness →Identity and authentication for AI →

Talk to a cloud engineer →Ask the AI Sales Engineer ↗← All AI cloud platforms

Other providers we work with

AWSGoogle CloudAzureOracle CloudCoreWeaveLambdaNebiusVast.aiRunPod

Logos are trademarks of their respective owners, used only to identify each platform, and come from Wikimedia Commons. Diagrams by the Workstation team.