Uber Technologies Inc. (NYSE: UBER) announced it is expanding its use of Amazon Web Services infrastructure to enhance its ride-sharing and delivery operations. The company is deploying AWS Graviton4 instances to support more of its Trip Serving Zones, the real-time system that processes ride and delivery requests.

The Trip Serving Zones handle millions of predictions and location data processing in milliseconds to match riders with drivers and coordinate deliveries. Uber said the AWS Graviton4 processors will reduce energy consumption while enabling faster scaling during demand spikes.

"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 has also begun pilot testing AWS Trainium3 chips to train artificial intelligence models that analyze data from rides and deliveries. These models help determine driver assignments, calculate arrival times, and provide delivery recommendations to customers.

"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 partnership supports Uber's global operations and future AI-powered features for ride-sharing and delivery services.

The information was disclosed in a company statement about the infrastructure expansion.