More uptime.
Less triage.

Simplified management and superior reliability via automated fault detection and remediation, and deep visibility.

Intelligent
orchestration

Automate fault detection, remediation, and lifecycle management for your high-performance compute clusters with Crusoe AutoClusters.

Effortless provisioning

Quickly launch GPU clusters leveraging NVIDIA Quantum-2 InfiniBand networks and a petabyte-scale filesystem powered by VAST Data.

Proactive monitoring

Analyze GPU, interconnect, and host telemetry in real time to surface problems early. Run active health checks during idle windows to detect degradation before it affects your workloads.

Self-healing infrastructure

Automate GPU burn-in and fabric validation before nodes join the cluster. Identify failing GPUs, gracefully drain workloads, and reprovision healthy nodes with zero manual intervention.

Managed orchestration

Run your workloads on fully managed Slurm and Kubernetes clusters with automated job re-queueing, topology-aware scheduling, and hands-free administration.

Actionable
observability

Get the transparency, control, and context you need to optimize your AI workloads.

Crusoe-managed

Get continuous monitoring of your AI stack without impacting performance through in-console metrics or via a Prometheus-compatible query API.

No blind spots

Gain deeper transparency into individual GPUs, cluster health, storage and network metrics, along with your total on-demand and spot costs.

Contextual and actionable

Access comprehensive performance, consumption, and spend data directly within the Crusoe Cloud Console so you can optimize resource utilization, diagnose issues, and make intelligent decisions in one place, at no additional cost.

Crusoe’s infrastructure gave us the stability and performance we needed to focus fully on building MirageLSD and delivering a smooth launch.

Dean Leitersdorf

Co-Founder & CEO

Crusoe has been an outstanding partner from the get-go - all of our in-house machine learning models have been trained on Crusoe Cloud. They provide a level of quality of service, responsiveness, and support for early access programs that we couldn't find with any other cloud provider.

Prasanth Veerina

Co-Founder

Crusoe has played an important role in scaling our GPU workloads, enabling us to train large language models efficiently and reliably. With Crusoe, our training jobs were able to run on 100s of GPUs for several weeks to months duration. We're delighted with the level of support that we received.