Crusoe differentiates itself as the 'energy-first AI factory company,' vertically integrating from energy sourcing to hyperscale AI data centers and an AI cloud platform. By harnessing clean energy and converting stranded natural gas into compute power, Crusoe offers a sustainable cost advantage for large-scale AI workloads. The company raised a $1.375 billion Series E round in 2025 at a valuation exceeding $10 billion, and its pipeline grew over fivefold year-over-year, with multiple gigawatt-scale campuses including a 1.8 GW site in Wyoming. Crusoe's strategic partnerships with NVIDIA and AMD, along with its acquisition of Atero and divestiture of Bitcoin mining, reinforce its credibility as a leading provider of AI-optimized infrastructure.
Provides best in class speed, throughput, and reliability for LLM inference with top open/open-source models or bring your own fine-tuned model.
A purpose-built AI cloud platform featuring high-performance NVIDIA & AMD compute, accelerated storage, and optimized RDMA networking.
Crusoe engineers provide a technical breakdown of GPU execution, comparing traditional CUDA C++ programming with the Triton domain-specific language. The article details how PyTorch kernel launches function and how Triton simplifies block-level GPU programming for developers.
Monks used 16 NVIDIA H200 GPUs on Crusoe Cloud's Iceland infrastructure to generate 10,195 personalized festival videos using open-source models. The project demonstrated a scalable, cost-effective alternative to traditional manual video production workflows for live events.
A unified operations platform for high-performance AI workloads.
Crusoe and Perplexity have entered a multi-year partnership to utilize Crusoe Cloud's infrastructure for Perplexity's AI model training and managed inference. The agreement leverages NVIDIA GB300 NVL72-powered clusters and InfiniBand solutions to support Perplexity's real-time research and search products.
Crusoe has opened a second 400,000-square-foot manufacturing facility in Tulsa, Oklahoma, to produce electrical infrastructure components like switchgear and enclosures. The expansion aims to support the company's Stargate Project and increase in-house production capacity for high-density AI compute deployments.
