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AI Knowledge Base · AI Cloud Platforms · GPU clouds

CoreWeave

A Kubernetes-native cloud built for large GPU clusters.

Best for: AI labs and enterprises training or serving at scale on the newest NVIDIA systems.

Workflow: your application authenticates through your identity provider and Kubernetes RBAC, then reaches your serving stack on CKS in a dedicated cluster with private networking; SUNK runs Slurm for training.
The request path on CoreWeave: you bring the identity provider, and Kubernetes RBAC and service accounts control access. The dedicated cluster and private networking form the boundary; your serving stack runs on CKS, and SUNK runs Slurm on Kubernetes for training.

AI services

  • CoreWeave Kubernetes Service (CKS) and SUNK (Slurm on Kubernetes) for training.
  • Weights & Biases for experiment tracking and evaluation, now part of CoreWeave.

GPUs and accelerators

  • H100, H200 and GB200 NVL72 systems with InfiniBand fabrics at very large scale.

Agents and identity

  • Kubernetes RBAC and service accounts; bring your own identity provider.

Security and data

  • Dedicated clusters and private networking; you control the software stack.

Scaling and optimisation

  • Thousands of GPUs per cluster; reserved capacity for predictable training runs.

UK and EU regions

UK and European data centres.

Watch out for

Mostly reserved, contract-based capacity; you run more of the platform yourself than on a hyperscaler.

How Workstation helps: We build the Kubernetes, Slurm and serving stack on CoreWeave and run CI/CD and observability for it.

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 CloudLambdaNebiusDigitalOceanVast.aiRunPod

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