Crusoe for AI developers

The AI builder’s cloud

Everything you need to train, fine-tune, and serve your models on Crusoe Cloud.

Choose your path

Crusoe Intelligence Foundry

Managed inference for AI applications. Run open models, bring your own, or fine-tune — no infrastructure overhead.

Crusoe Cloud

GPU compute and orchestration for large-scale training and inference workloads. Full control of your stack.

Connect with us
at events

Inside the cluster: How AI teams actually orchestrate at scale
AI Infra Summit
Santa Clara, CA, USA
The State of AI Infrastructure

Your toolkit

Documentation

Quickstart guides and API reference for Compute, Storage, Networking, Orchestration, and Managed Inference.

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How-to guides

Step-by-step walkthroughs for common tasks — from spinning up your first instance to configuring managed inference, storage, networking, and more.

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Support

Direct technical support from our team, whenever you need it.

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Demos

Real examples from our GitHub and Hugging Face Spaces. Run the demos, fork the code.

01

Model Arena

02

FakePod

03

Snake Battle AI

04

TorchTitan Pretraining on CMK

05

PyTorch Distributed Training on SLURM

06

Ray Inference on CMK

Build with us

Where Crusoe engineers and AI builders hang out. See what's shipping and get the first look at new models, hackathons, and previews.

From our engineering team

Illustration of analytics dashboards with charts and percentage rings, representing tokenizer benchmarking.
July 31, 2026
fastokens v2: Accelerating inference and training time
Diagram showing serverless fine-tuning collapsing a multi-layer model stack into one deployed adapter, from dataset to deployment.
July 29, 2026
From dataset to deployment: A practical guide to serverless fine-tuning
Server racks and cloud infrastructure icons representing automated GPU datacenter deployment
July 28, 2026
Before first boot: How Crusoe Pre-Deployment Automation readies every GPU server
[Crusoe] infrastructure played a massive role in this [AI DevSummit Hackathon] win. I used NVIDIA Nemotron via Crusoe to reliably generate personalized skincare routines based on complex environmental and skin analysis data.
Perbangga Duha
Hackathon winner
~250 Crusoe calls, 0 user-visible failures…it was rock solid.
Alexander Sorrell
Hackathon participant
I built Leavitt, an on-call AI SRE agent for diagnosing production incidents. Running Nous Research Hermes + NVIDIA Nemotron on Crusoe Cloud, it held its line under chaos.
Alexander Sorrell
Hackathon winner

Frequently
asked questions

Ready to start building?