Case Study

Autonomous Vehicle Company Wayve Ends GPU Scheduling ‘Horror’

Autonomous Vehicle Company Wayve Ends GPU Scheduling ‘Horror’

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Autonomous Vehicle Company Wayve Ends GPU Scheduling ‘Horror’ CASE STUDY By moving from spreadsheets to Run:AI, Wayve goes from <45% to >80% utilization of GPU resourcesALL RIGHTS RESERVED RUN:AI. NO PART OF THIS CONTENT MAY BE USED WITHOUT EXPRESS PERMISSION OF RUN:AI COMPANY Wayve is a London-based company developing artificial intelligence software for self-driving cars. Wayve’s embodied AI technology does not depend on costly sensing and instead focuses on greater intelligence - for better autonomous driving in dense urban areas. BACKGROUND Fleet Learning Loop Consumes Many GPU Resources Wayve’s Fleet Learning Loop is their continuous cycle of data collection, curation, training of models, re-simulation, and licensing models before deployment into the fleet. This loop is

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