Crusoe

Crusoe provides high-performance NVIDIA GPU clusters, including H100 and A100 Tensor Core GPUs, specifically optimized for intensive AI workloads. These are interconnected with high-bandwidth networking to support the massive data throughput required for training large language models and complex generative AI applications.

Unlike traditional providers that rely on the standard power grid, Crusoe utilizes stranded energy and flared natural gas to power its data centers. This purpose-built infrastructure is designed specifically for high-performance computing (HPC) and AI, offering a more sustainable and carbon-negative alternative for compute-heavy tasks.

Yes, Crusoe Cloud is designed to handle the full AI lifecycle. We offer high-memory GPU configurations for large-scale model training as well as optimized instances for low-latency inference, ensuring your models perform efficiently once they are deployed into production environments.

Crusoe is ideal for organizations performing large-scale machine learning, generative AI development, and scientific computing. It is particularly beneficial for companies with ESG goals who want to reduce the carbon footprint of their compute-intensive R&D without sacrificing performance or scalability.

To get started, you can reach out to our sales team via the website to discuss your specific capacity requirements and timeline. We provide dedicated support to help you configure your environment, manage data migration, and ensure your software stack is optimized for our high-performance hardware.

Our infrastructure is fully compatible with all major AI frameworks, including PyTorch, TensorFlow, and JAX. Because we provide standard Linux-based environments with NVIDIA drivers pre-configured, you can easily port your existing Docker containers and orchestration workflows to our cloud.

Absolutely. Crusoe supports standard API access and networking protocols, allowing you to connect your existing S3-compatible storage, CI/CD pipelines, and MLOps tools. This ensures a seamless workflow from data ingestion and preprocessing to model training and final deployment.

Crusoe offers competitive pricing typically structured around GPU-hour usage. By leveraging innovative energy sources, we are often able to provide high-end compute resources at a more cost-effective rate than traditional hyperscalers, especially for long-term reservations and large-scale clusters.

Yes, we offer both on-demand access for flexibility and reserved instances for customers with predictable, long-term workloads. Reserved contracts provide the best value and guaranteed capacity, which is essential for multi-month training runs of foundational AI models.

Crusoe employs enterprise-grade security protocols across our data centers, including physical access controls and robust network security. We understand the sensitivity of proprietary weights and training data, implementing strict isolation and encryption standards to protect your intellectual property at rest and in transit.

Yes, transparency is a core part of our mission. We provide detailed information on how our use of flared gas and stranded energy reduces methane emissions and lowers the overall carbon intensity of your compute cycles compared to traditional grid-powered data centers.

Crusoe provides expert technical support staffed by engineers who specialize in high-performance computing and AI infrastructure. We offer various support tiers, including dedicated account management for enterprise customers to assist with cluster optimization and troubleshooting.