Ride-sharing company Uber is increasing its reliance on Amazon Web Services (AWS), including the most recent generation of its Graviton and Trainium chips. Uber Trip Serving Zones are a component of its system that manages millions of predictions and processes location data for users in milliseconds. Uber Trip Serving Zones are a component of its system that manages millions of predictions and latency, to help match drivers to riders faster.
The expanded agreement will also see Uber using AWS compute, storage, and networking to further improve real-time operations for this, including reducing energy consumption and reducing latency, to help match drivers to riders faster.
“Uber operates at a scale where milliseconds matter. Moving more Trip Serving workloads to AWS gives us the flexibility to match riders and drivers faster and handle delivery demand spikes without disruption,” said Kamran Zargahi, vice president of engineering at Uber.
While some of Uber’s AI models are being trained using data from billions of rides and deliveries to determine which driver or courier to send, calculate arrival times, and suggest the best delivery options to the customer, the use of AWS’ Trainium3 chips is still somewhat experimental. This will keep getting better as the model gains knowledge from additional trips.
“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. 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,” said Rich Geraffo, vice president and managing director of North America at AWS.
While Uber is a known customer of AWS, the company has a multicloud strategy, also using Google Cloud and Oracle Cloud Infrastructure. In 2023, the company signed two seven-year deals with Google and OCI, revealing that it would be closing its own data centres.