Uber Technologies Inc. (NYSE:UBER) said it is increasing its use of Amazon Web Services (AWS) infrastructure to improve the performance of its ride-hailing and delivery platforms. The company is rolling out AWS Graviton4 computing instances to power more of its Trip Serving Zones, the system that processes ride and delivery requests in real time.
Trip Serving Zones are responsible for analyzing large volumes of location data and predictions within milliseconds to match passengers with drivers and coordinate deliveries. Uber said the adoption of AWS Graviton4 processors will help lower energy consumption while allowing the system to scale more efficiently during periods of high demand.
“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.”
The company has also started pilot programs using AWS Trainium3 chips to train artificial intelligence models that analyze ride and delivery data. These AI models support functions such as driver assignment, estimated arrival calculations and delivery recommendations for users.
“By starting to pilot some of our AI models on Trainium, we’re building a technology foundation that will make every Uber experience smarter,” Zargahi said.
Rich Geraffo, vice president and managing director of North America at AWS, said the collaboration helps support Uber’s large-scale operations while laying the groundwork for new AI-driven features in its mobility and delivery services.