Case Study: ike GPS achieves faster, scalable AI inference with Arcanum AI

ike GPS - Customer Case Study

ike GPS, a company providing a pole management platform technology for power and communications networks, had an existing AI model that required a production inference solution. Their challenges included the need to support auto-scaling, resolve latency issues, and gain access to the pipeline's resource code. They engaged Arcanum AI to help productionize and optimize their model.

Arcanum AI implemented a containerized microservice on AWS, using their Spellcaster tool to generate code and establish a CI/CD pipeline. The solution included an auto-scaling feature to manage costs and demand. Guided by Arcanum's MLOps monitoring, the model was moved to a GPU, resulting in a 1000% performance increase. The final solution provided a robust, scalable API service that efficiently meets ike GPS's requirements.

ike GPS

Jeremy Gold

Principal AI / ML Engineer