Case Study: Roboflow serves 300,000+ computer vision models at 50 ms latency with Crusoe Cloud

Roboflow serves 300,000+ vision models at 50 ms median latency with Crusoe

Roboflow, a company that provides a platform for building and deploying computer vision models, faced the challenge of scaling its infrastructure to serve over 69,000 distinct models each month with low latency. Their dynamic workload, especially after launching the large SAM 3 foundation model, required a GPU cloud provider that offered both reliable capacity and the flexibility to handle unpredictable demand. The company needed to avoid the high costs and operational overhead of managing its own Kubernetes clusters.

Crusoe addressed these needs by providing reserved GPU capacity through Crusoe Cloud and simplifying operations with Crusoe Managed Kubernetes (CMK). This solution enabled Roboflow to achieve a median latency of 50ms for its 300,000+ models while processing hundreds of millions of monthly requests. Using Crusoe freed up 2-3 full-time engineers from infrastructure maintenance, provided significant cost savings compared to hyperscalers, and offered responsive, personal support that ensured high availability for critical workloads.

Roboflow