Uber Technologies is now using Amazon’s custom AI chips to ‌speed up computing and ‌train artificial intelligence models. Per a press release from the latter, the ride-sharing giant is expanding its real-time infrastructure on AWS to speed up service for millions of daily riders and deliveries. Both UBER and AMZN stock are down a fraction of a percent on Tuesday as most stocks are slipping. However, they are also both up in the last week as this partnership takes shape.

Specifically, Uber is using AWS Graviton instances to support more of its Trip Serving Zones, the real-time infrastructure behind every ride and delivery, and has started pilot training some AI models on Trainium—enabling faster rider and delivery matching, global demand handling, and smarter, more personalized experiences for millions of daily users.

Additionally, Uber is expanding its use of AWS compute, storage, and networking to help power real-time operations for Trip Serving Zones. By running more of these workloads on AWS Graviton4, Uber can reduce energy consumption while scaling rapidly during demand spikes, both reducing latency and optimizing costs. “Uber operates at a scale where milliseconds matter,” said Kamran Zargahi, vice president of engineering at Uber. “Moving more Trip Serving workloads to AWS gives us the flexibility to match riders and drivers faster and handle delivery demand spikes without disruption.”

“Uber is one of the most demanding real-time applications in the world, and we’re proud to be an important part of the infrastructure powering their global operations,” said Rich Geraffo, vice president and managing director of North America at AWS. “We’re helping Uber deliver the reliability hundreds of millions of people count on today—and the AI-powered experiences that will define ride-sharing and on-demand delivery tomorrow.”