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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

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