Crusoe is a vertically integrated AI infrastructure company with an energy-first model that spans energy sourcing, AI-optimized data center development and operations, in-house manufacturing, and cloud services for training and inference. The company positions that integration as a way to bring capacity online faster and support demanding AI workloads with purpose-built power, cooling, networking, and deployment infrastructure.
Its portfolio combines hyperscale AI factories with modular deployments closer to demand, giving customers options for centralized model training, production inference, and geographically targeted capacity. Across the cloud business, Crusoe emphasizes modern GPU infrastructure, high-performance storage and networking, managed operations, and developer-facing tools that reduce infrastructure overhead for AI teams.
Offerings, Capabilities, and Integrations
Crusoe’s offering spans the full stack from power and energy development to data center design, construction, manufacturing, cloud capacity, and managed AI services. That stack includes large AI campuses, modular AI factories, and distributed deployment models for lower-latency or sovereign environments.
On the cloud side, Crusoe pairs accelerated compute with isolated networking, object and shared storage, orchestration, observability, and multiple developer interfaces including console, CLI, APIs, Terraform, and SDKs. It also works with technology, platform, and service partners to integrate software, data platforms, and implementation services on Crusoe Cloud.
Products and Services
- Crusoe Cloud: AI cloud platform for GPU-intensive training, inference, graphics, and high-performance computing workloads, with access through the Crusoe Cloud Console, CLI, APIs, Terraform, and SDKs.
- Crusoe Managed Inference: Fully managed inference service for open or customer models, delivered through Crusoe’s MemoryAlloy-based engine for low latency, high throughput, and resilient scaling.
- Crusoe Command Center: Unified operations and observability platform for monitoring, diagnosing, and optimizing large AI workloads across Crusoe’s orchestration stack.
- Crusoe Edge Zones: Rapidly deployable cloud zones powered by Crusoe Spark for low-latency, sovereign, or geographically targeted AI capacity.
- Crusoe Spark: Turnkey prefabricated modular AI factory that packages power, cooling, monitoring, fire suppression, and GPU-ready racks into portable units for edge, on-premise, or expansion use cases.
- Crusoe Managed Kubernetes: Managed Kubernetes environment for AI applications and MLOps, positioned as a scalable foundation for GPU and CPU workloads on Crusoe Cloud.
- Crusoe Managed Slurm: Managed Slurm service built on Crusoe Managed Kubernetes for large-scale GPU training with topology-aware scheduling and integrated platform services.
- Crusoe AutoClusters: Fault-tolerant orchestration and remediation service that monitors cluster health and automatically replaces failing GPU nodes to keep training workloads moving.
- Crusoe Intelligence Foundry: Developer workspace for discovering models, generating API keys, testing managed endpoints, and moving inference workloads toward production.
- Shared Disks: High-performance shared storage product powered by the VAST Data Platform, designed for large training workloads and petabyte-scale file access.
- Object Storage: S3-compatible object storage co-located with compute for low-latency access to datasets, checkpoints, and training artifacts.
- Container Registry: Container image registry service for deploying AI workloads alongside Crusoe’s managed orchestration environment on Crusoe Cloud.
Target Customers
Crusoe targets AI-native startups, research teams, and machine learning engineering organizations that need GPU infrastructure for training, fine-tuning, and production inference without assembling the full stack on their own. Its customer references and cloud positioning emphasize support for teams running large models, real-time AI applications, and long-duration multi-GPU workloads.
Crusoe also addresses enterprise buyers that need dedicated capacity, faster deployment, or tighter control over where AI runs, including organizations with low-latency, data residency, and sovereign infrastructure requirements. Its edge and partner programs further broaden relevance to sectors such as healthcare, autonomous systems, manufacturing, and service providers building customer solutions on Crusoe Cloud.
Key People
- Chase Lochmiller: Co-founder, CEO and Chairman of the Board of Directors
- Cully Cavness: Co-Founder, President and Chief Strategy Officer
- Michael Gordon: Chief Operating Officer and Chief Financial Officer
- Nitin Perumbeti: Chief Technology Officer
- Chris Dolan: Chief Data Center Officer
- Jamey Seely: Chief Legal Officer
- Matt Field: Chief Real Estate Officer
- Tara Green: Chief People Officer
- Erwan Menard: SVP, Product Management
- Jamie McGrath: SVP, Data Center Operations
- John Adams: SVP, Power Infrastructure
- Nick Sammut: SVP, Strategic Finance & Corporate Development
Key Facts
- Headquarters: Denver, Colorado, United States
- Employees: Approximately 1,000-1,200
- Annual Revenue: Approximately $400M-$500M
- Parent Company: None
- Subsidiaries: Crusoe Industries
- Publicly Listed: Not publicly listed
