Case Study: Cisco Meraki accelerates AI development with ClearML

Cisco Meraki accelerates AI workflows with ClearML and scales across on-prem, cloud, and AWS

Cisco Meraki, a cloud-managed IT solutions company, faced challenges in accelerating AI development across its many teams. Different groups had varying levels of tooling, processes, and access to compute resources, which created inefficiencies and a steep learning curve. Before finding ClearML, they trialed Kubeflow but found its complexity and maintenance requirements to be prohibitive. They needed a centralized MLOps platform to standardize usage, reduce duplicated efforts, and provide easy access to both on-premise and cloud computing resources.

By implementing ClearML, Cisco Meraki streamlined its AI development with robust experiment tracking, workflow automation, and scalable resource management. The solution provided a unified platform that improved collaboration, accelerated the development of automated ML workflows, and led to efficient utilization of compute resources. ClearML's out-of-the-box integration with their AWS infrastructure and features like autoscaling empowered more teams to develop AI features, positively impacting the company's ability to advance its AI projects effectively.

Cisco Meraki