How a reusable benchmark fleet made Triton configuration measurable across hundreds of production and shadow models, with mean QPS lift rising from 1.75x at 4 vCPU to 6.78x at 32 vCPU.
Tag Archives: optimization
Lifecycle of a Successful ML Product: Reducing Dasher Wait Times
Building an ML-powered delivery platform like DoorDash is a complex undertaking.
Iterating Real-time Assignment Algorithms Through Experimentation
DoorDash operates a large, active on-demand logistics system facilitating food deliveries in over 4,000 cities.
DoorDash’s ML Platform – The Beginning
DoorDash uses Machine Learning (ML) at various places like inputs to Dasher Assignment Optimization, balancing Supply & Demand, Fraud prediction, Search Ranking, Menu classification, Recommendations etc.
Next-Generation Optimization for Dasher Dispatch at DoorDash
At DoorDash, our logistics team focuses on efficiently fulfilling high quality deliveries.