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Crusoe Cloud
Crusoe Cloud documentation
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- llms.txt
- https://docs.crusoecloud.com/llms.txt
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-22T16:45:47.158Z. Cached copy · Source on crusoecloud.com
# Crusoe Cloud
> Crusoe Cloud documentation
- [Overview](/.md): Crusoe provides flexible options for running AI workloads. You can train, deploy, and run inference workloads using Crusoe's managed infrastructure or your own infrastructure.
- [Create an account](/create-an-account.md): Create an account on Crusoe Cloud
- [Install the Crusoe Cloud MCP Server](/reference/mcp-server.md): The Crusoe Cloud Model Context Protocol (MCP) Server enables AI assistants (such as Claude Desktop) to securely query and inspect your Crusoe Cloud AI infrastructure.
## Quickstarts
- [Quickstarts](/quickstart/overview.md): Step-by-step guides for getting started with Crusoe Cloud infrastructure and Managed Intelligence
### Managed AI
- [Serverless Inference](/serverless-inference.md): Generate an API key and send requests to hosted models over an OpenAI-compatible API
- [Deploy with self-serve deployments](/quickstart/self-serve-deployments.md): The full reference for deploying with self-serve deployments—including fine-tuned models—in Python and curl.
- [Serverless Fine-Tuning](/managed-ai/serverless-fine-tuning.md): Upload a dataset and fine-tune an open model through the Intelligence Foundry without managing GPU infrastructure
### Infrastructure Cloud
- [Installing and configuring the CLI](/installing-the-cli.md): Install and configure the Crusoe Cloud CLI
- [Getting Started with Terraform](/infrastructure-cloud/terraform.md): Get Started with Terraform for use with Crusoe Cloud.
- [Creating a VM](/quickstart/creating-a-vm.md): Learn how to create and access your VMs
- [Spin up your first GPU cluster](/quickstart/spin-up-gpu-cluster.md): Provision a multi-node GPU cluster on Crusoe Infrastructure Cloud with Kubernetes (CMK) or Slurm to train models, serve inference, and run data processing pipelines.
- [Managed AI](/managed-ai/overview.md): Choose a Crusoe Managed AI product to run, adapt, or deploy AI models without managing GPU infrastructure
- [Usage and billing](/serverless-inference/usage-billing-models.md): Usage and billing information for Serverless Inference, Serverless Fine-Tuning, and Self-Serve Deployments
## Serverless Fine-Tuning
- [Serverless Fine-Tuning](/serverless-fine-tuning/overview.md): Fine-tune open models on Crusoe without managing GPU infrastructure
- [How Serverless Fine-Tuning works](/serverless-fine-tuning/how-it-works.md): Concepts, lifecycle, and architecture behind serverless fine-tuning on Crusoe
- [Serverless Fine-Tuning quickstart](/serverless-fine-tuning/quickstart.md): Get from zero to a fine-tuned LoRA adapter in one end-to-end pass.
- [Fine-tune a model](/serverless-fine-tuning/fine-tune-a-model.md): The full reference for dataset formats, hyperparameters, and every serverless fine-tuning operation in Python and curl.
- [Available models](/serverless-fine-tuning/available-models.md): Base models supported by Serverless Fine-Tuning for LoRA adapter training
## Managed Inference
### Serverless Inference
- [Serverle
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