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AI Knowledge Base · AI Cloud Platforms · GPU clouds

λ

Lambda

Simple, fast GPU instances and clusters for AI teams.

Het meest geschikt voor: Research and engineering teams that want GPUs quickly without hyperscaler complexity.

Workflow: your application uses your own identity and secrets management, passes the network policy we add, and reaches a Lambda GPU instance or 1-Click Cluster running Lambda Stack, with disk encryption.
The request path on Lambda: fewer managed services, so the identity, secrets, network policy and disk encryption are yours to add. API keys are only for the Lambda cloud API.

AI services

  • On-demand GPU instances and 1-Click Clusters with InfiniBand.
  • Lambda Stack: a maintained PyTorch, CUDA and driver bundle.
  • Private clouds for long-term reserved capacity.

GPUs and accelerators

  • H100, H200 and Blackwell-generation GPUs, single instances to multi-node clusters.

Agents and identity

  • API keys for the cloud API; bring your own identity and secrets management for workloads.

Security and data

  • Dedicated instances; we add network policy, disk encryption and secrets management.

Scaling and optimisation

  • Clusters for training; reserved capacity for steady inference.

UK and EU regions

Mostly US data centres; check region before placing regulated data.

Watch out for

Fewer managed services, so storage, networking and security design fall to you.

How Workstation helps: We set up clusters, storage and secure access, and automate workloads through CI/CD.

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 CloudCoreWeaveNebiusDigitalOceanVast.aiRunPod

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