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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

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