MLops tool for top AI labs.

Self healing clusters that give you the the freedom to run your workload without having to think what is under the hood.

Deploy Lighthouse

Monitoring and Logging

Get insight into your workload to keep system performance high and GPU utilization at 100%.

Auto-remediation

Gracefully recover infrastructure failure and restart workload on new hardware within minutes.

Checkpointing (coming soon)

Support for no code change async and zero overheard checkpointing. Available in Q2 2025.

A team of MLops experts by your side.

Our MLops experts offer best in class experience and support.

  • Best-in-class support and SLAs.

    Always-on monitoring and proactive debugging to save your engineers valuable time.

    24/7 Support
    99.99% Uptime
    15 min response
  • Tools you already love.

    Including all the tools you already love,  use and trust.

    graphana
    prometheus
  • By your side at every step.

    Our team of MLops experts  is always available to ensure you have everything you need.

    15-min, 24/7 support
    MLOPS AS A SERVICE

Trusted by the best infrastructure providers.

Poolside

Poolside

“One of the most important aspects of running an AI company is access to Compute. Fluidstack has been a phenomenal partner to Poolside. Large scale clusters are difficult to operate, but they’ve been exceptional. Their dedicated support is excellent, and they are able to provide a great service on top of the hardware.”

Jason Warner

CEO at Poolside

"Maximizing GPU power is essential for accelerating the time to market for advanced machine learning products like ours. However, managing GPU costs is equally crucial. At Fluidstack, we've discovered the perfect balance between performance and affordability."

Tigran Sargsyan

Director of Engineering at Krisp

"Fluidstack's support was excellent - which became especially important when deploying clusters at scale. Having a dedicated team to manage our cluster meant our engineers could focus on their workloads, and not have to worry about physical infrastructure."

Ugur Arpaci

DevOps Engineer at Codeway

Deploy Lighthouse today.

Secure visibility and reliability for your AI workloads.