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Crusoe
Vertically integrated AI cloud offering GPU compute powered by stranded and clean energy sources for large-scale training.
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8.6
Rating / 10
300K daily visits
Overview
Crusoe is a vertically integrated AI cloud platform that distinguishes itself by powering high-performance computing infrastructure with clean, renewable, and stranded energy sources . The company was founded in 2018 with an energy-first approach: rather than bringing power to data centers, Crusoe brings data centers to energy production sites, minimizing grid strain while reducing emissions . This approach has been recognized with Crusoe being named Cloud AI Company of the Year 2025 . The company's AI cloud platform uses NVIDIA H200, H100 SXM, A100 SXM GPU instances with NVIDIA Quantum InfiniBand networking to accelerate distributed training on clusters ranging from 8 to over 8,000 GPUs . For scalable inference, Crusoe employs NVIDIA H200, H100, L40S, A100, and A40 GPUs, enabling 20B+ parameter model inference on a single card . Leading Fortune 500 companies rely on Crusoe's advanced, AI-optimized cloud to support their most demanding AI applications . Crusoe has made significant infrastructure investments including a $3.4 billion joint venture with Blue Owl Capital and Primary Digital Infrastructure announced in October 2024 to accelerate AI data center development . In July 2024, Crusoe unveiled plans for an initial 200 MW AI data center at Lancium Clean Campus with expansion plans already in place . The company also participates in STEM education initiatives, hackathons, and partnerships to foster AI innovation . Crusoe's vertical integration enables faster deployment of state-of-the-art capacity than legacy cloud providers, with the company's CEO stating they can deploy new infrastructure in 'a fraction of the time' of competitors .
✅ Benefits
  • Vertically integrated AI cloud with access to NVIDIA H100, H200, and A100 GPUs on clusters up to 8,000+ GPUs with InfiniBand networking .
  • Powered by clean, stranded, and renewable energy sources, delivering high-performance computing with significantly lower emissions .
  • $3.4 billion joint venture and 200 MW data center investments demonstrate serious long-term commitment to scaling AI infrastructure .
⚠️ Drawbacks
  • Pricing is not publicly disclosed; requires contacting Crusoe for custom quotes .
  • The energy-first model means data center locations may be remote or not ideal for all latency-sensitive workloads .
  • As a specialized AI cloud, Crusoe may not offer the broad set of general-purpose services available from AWS, Azure, or GCP .