In short: Uber has expanded its AWS contract to run real-time ride-matching infrastructure on Amazon’s Graviton4 processor and is piloting AI model training on Trainium3, joining Anthropic, OpenAI, and Apple on a customer list that is becoming the clearest evidence yet that Amazon’s custom silicon strategy is working.
Uber’s infrastructure runs on milliseconds. Every time a rider opens the app, a system called Trip Serving Zones determines which drivers to consider, how to weight them, and how quickly to return a match, all before the user has finished watching the loading animation. At Uber’s scale, which reached more than 40 million trips a day in 2025 across 72 countries, the compute cost of that operation is substantial and the latency tolerance is essentially zero. On 7 April 2026, the company announced it is moving more of that workload to AWS, running Trip Serving Zones on Amazon’s Graviton4 processor and beginning a pilot to train AI…
