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The world's favorite AI cloud

Easy AI Exploration

Large-Scale Model Training

Internet-Scale Inference

Trusted by the best names in AI

Powering the AI revolution

Reliable high-performance GPUs, CPUs, networking, and storage for AI exploration, model training and scalable-inference. Designed for the next generation of individual innovators, teams of developers and whole enterprises.

Vertically integrated AI Infrastructure

Crusoe's AI cloud - built literally from the ground up - empowers the emerging generation of AI innovators. By generating or harvesting our own large-scale clean energy, building custom data centers, and developing a true AI-first computing stack, we deliver superior performance, cost-efficiency and sustainability for the most advanced AI workloads.

Sustainably Powered AI Computing

AI requires a tremendous amount of energy. Taking an "energy first" approach to building and operating clean computing infrastructure, Crusoe reduces both the costs and the environmental impact of the world's expanding AI needs.

Enterprise-Class Controls

Crusoe Cloud is designed with robust data security, privacy and compliance controls to ensure your safety and regulatory adherence.

We've got your use case covered

AI Exploration

Efficiently and easily explore paths to incorporate AI into your business

NVIDIA H200 SXM, NVIDIA H100 SXM & NVIDIA A100 SXM instances with NVIDIA Quantum InfiniBand networkings speed up distributed training on clusters ranging from 8 to 8k+ GPU's

Model Training

Optimize the development or refinement of the largest AI models

NVIDIA H200, H100 SXM & A100 SXM GPU instances with NVIDIA Quantum InfiniBand networkings speed up distributed training

Scalable Inference

Integrate AI models into real-time applications with high reliability at any level of demand

NVIDIA H200, H100, L40S, A100 & NVIDIA A40 GPUs enable 20B+ parameter model inference on a single card

Developers Love Crusoe Cloud

Crusoe has not only provided us with a robust infrastructure platform for our machine learning training and inference workloads but a management console that is intuitive and easy to use. With Crusoe Cloud we're able to get jobs up and running within a couple of hours.

Aleks Kamko

AI Researcher

Codeium is proud to run distributed training on Crusoe Cloud using a cluster of their newly deployed NVIDIA HGX H100s with 3,200Gbps InfiniBand.

Varun Mohan

Co-Founder

We chose Crusoe Cloud because of its simple user interface, reliability, and positive environmental impact. Crusoe makes it extremely easy to set up an account, spin-up a virtual machine (VM), and start training ML models right away. We were able to select and spin-up an 8 x NVIDIA A40 48GB node in under three minutes.

SangEon Park

MIT Researcher

Recent News

October 15, 2024

Crusoe, Blue Owl Capital and Primary Digital Infrastructure Enter $3.4 billion Joint Venture for AI Data Center Development

August 16, 2024

100 Jobs Coming to Tulsa through AI Tech Firm's Expansion Plan

July 18, 2024

Crusoe to Build Initial 200 MW AI Data Center With Plans to Expand at 1.2 GW Lancium Clean Campus

June 28, 2024

Crusoe & Lowercarbon to Host AI Hackathon to Accelerate Clean Energy Development, OpenAI Offering Credits and Mentoring Hackers, Department of Energy to Speak at Public Workshop

Ready to Build Something Amazing?