Scaling Instacart Fulfillment ML on Ray
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how Instacart scaled its fulfillment machine learning capabilities using Ray in this Ray Summit 2022 conference talk. Learn about the challenges of predicting regional-level fulfillment metrics across 2,000 unique zones and how Instacart transitioned from a Celery-based queueing system on AWS ECS to Ray distributed frameworks. Explore the benefits of this transition, including increased parallelization, cost reduction, and significant improvements in training time. Gain insights into Instacart's serverless architecture, remote code execution, workspace isolation, and CPU utilization optimization. Examine the integration of Ray with Instacart's ML Ops and ML Platform, and understand the next steps in their machine learning journey.