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Crusoe Energy

About Crusoe Energy

Crusoe is a vertically integrated AI infrastructure company: it develops energy sources, builds and runs AI data centers, and operates the Crusoe Cloud platform. Crusoe Cloud rents NVIDIA and AMD GPUs, from single nodes to clusters of thousands of GPUs, with on-demand, spot and reserved capacity. Its data center business ranges from gigawatt-scale campuses to modular data centers. Crusoe sold its bitcoin mining business to focus only on AI infrastructure.

Products

  • Crusoe Cloud: An AI cloud for training, fine-tuning and inference.
  • Crusoe Managed Kubernetes: Managed Kubernetes for GPU clusters.
  • Crusoe Managed Inference: Hosted model serving on Crusoe's own inference engine.
  • Crusoe Spark: Modular data centers that add Crusoe Cloud capacity, including the liquid-cooled Crusoe Spark Liquid.
  • Crusoe Edge Zones: Crusoe Cloud deployments in chosen locations, including dedicated sovereign deployments.

From Crusoe Energy's own website, read 2026-10-28. How we build listings.

How to evaluate LLM Infrastructure & APIs

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Crusoe Energy. It comes from our Generative AI & LLM Platforms buyer guide.

25%
Model Capability & Task Fit
Reasoning and instruction-following on your tasks (not public leaderboards), multimodal coverage (text, image, audio, video) where you need it, context-window length for your documents, breadth of the model menu (frontier, mid, small), and measured quality on a held-out set of your real prompts
20%
Deployment, Data Residency & Governance
Where inference physically runs (multi-tenant API, your VPC, on-prem, air-gapped), explicit no-training-on-your-data and retention commitments, regional residency, SOC 2 / ISO 27001 / HIPAA / FedRAMP and EU AI Act alignment, and DLP, content filtering, and full prompt/response audit logging
15%
Build & Customization Tooling
First-class retrieval-augmented generation and grounding, managed fine-tuning and (where relevant) continued pre-training, an integrated evaluation and regression-testing harness, prompt/version management, and native or tightly integrated vector search over your corpora
15%
Agentic & Orchestration Readiness
Reliable tool/function calling, support for open agent protocols (MCP, A2A), a managed agent runtime with memory and state, multi-agent orchestration, and guardrails — permissions, human-in-the-loop checkpoints, and step-level tracing for autonomous workflows
15%
Portability & Lock-in Risk
How model-agnostic the API is, whether multiple model families are reachable through one interface, the real cost of swapping providers (prompt, tool-schema, and eval rework), reliance on open standards, and whether you can take fine-tuned weights or your data with you on exit
10%
Cost, Throughput & Operability
Token economics at your projected volume, batch and provisioned-throughput options, prompt-caching support, rate limits and quota headroom for production, p95 latency under load, regional availability and uptime SLAs, and built-in usage, cost, and quality observability

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Quick Facts

crusoe.ai Pricing page
CategoryAI & ML Platforms
SubcategoryLLM Infrastructure & APIs
DeploymentCloud
PricingPay-as-you-go for hosted models; on-demand, spot or reserved for GPU and CPU instances

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