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AI on the cloud

The landing zone, identity, and bill for models and agents. Inference, training bursts, and the data path, built so an AI workload is a cloud service someone can run.

For Teams moving a pilot model onto AWS, Azure, or Google Cloud without a surprise invoice.

Outcomes

  • A landing zone agents and models are allowed to use
  • Cost you can attribute to a workflow
  • A rollback when a model release misbehaves

What is included

  • Account, network, and identity for AI workloads
  • Inference and training pattern
  • Spend guards and a monthly review
  • Connection to the data and the apps that call it

Platforms: AWS, Azure, Google Cloud, Kubernetes

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