Crusoe - Cloud for AI

Crusoe - Cloud for AI

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Crusoe provides sustainable cloud infrastructure for AI workloads, using clean energy to power high-performance computing for machine learning.

Last Updated Oct 21, 2026
Crusoe - Cloud for AI screenshot

About

Crusoe is a technology company dedicated to solving the dual challenges of computing and energy through innovative approaches. We provide next-generation AI infrastructure and cloud computing services built on an energy-first methodology, designed to support large-scale AI workloads. Our solutions deliver exceptional reliability and performance, backed by round-the-clock expert support, making them an efficient and sustainable choice for enterprises and research institutions pursuing ambitious AI goals.

Key Features

High-performance AI compute clusters optimized for demanding workloads such as training and inference.
Energy-first cloud platform that leverages clean, cost-effective energy to power computing, reducing operational expenses and environmental impact.
Large-scale deployment support offering flexible, scalable options from single nodes to hyperscale clusters.
24/7 operations and support with a dedicated technical team ensuring stable and reliable service.

Pricing & Fees

  • Pricing: GPU instances are billed per GPU-hour on demand, e.g. $4.50 for NVIDIA H100 (80GB HGX), $5.40 for H200 (141GB), $8.50 for B200 (180GB), $3.45 for AMD MI300X (192GB) and $1.50 for L40S (48GB); newer GPUs like GB300 NVL72 and MI355X require contacting sales. CPU instances start at $0.04/vCPU-hr.
  • Billing models: Pay-as-you-go for on-demand usage, plus spot and reserved pricing options; tailored agreements are available to avoid GPU lock-ins, and reserved commitments offer the lowest rates.
  • Managed AI services: Serverless Fine-Tuning, Managed Inference (Serverless Inference, Self-Serve and Tailored Deployments, Provisioned Throughput) are priced separately from raw compute — "no surprise bills" per Crusoe.
  • Energy-first infrastructure: Data centers across North America and Europe are powered by stranded or renewable energy sources, which Crusoe says lowers compute costs as well as carbon footprint.

Who It's For

Crusoe is ideal for enterprises and laboratories that need to train cutting-edge AI models at scale, technology companies seeking to reduce the cost and environmental impact of AI computing, developers running complex AI inference tasks and large language model applications, and any organization with high standards for reliability, performance, and sustainability in its computing infrastructure.