UberがAWSとの提携を拡大しAI能力を構築

2 Min ReadThe ride-hailing giant will use more of the cloud provider’s chips to power ride-sharing features and support AI workflows.Under an expansion of its existing partnership with AWS, Uber will scale use of the vendor's Graviton4 and Trainium3 custom-made chips, designed for computing and AI training.Financial details were not disclosed.In a release, Uber said it will use Graviton4 to connect customers with drivers “in milliseconds," while it will run a pilot with Trainium3 to build faster, smarter AI predictions and models.“Every time you open Uber and request a ride or delivery, a series of split-second decisions happens behind the scenes,” Uber said in the release. “Which driver is closest? What's the fastest route? How long will it actually take? “Getting those answers right instantly -- or millions of people at once -- requires the right infrastructure for Uber to deliver these capabilities at scale.”Related:The Real AI Shift Isn’t New Models. It’s Control.With the chips designed to support high-volume, real-time workloads, Uber said running more real-time operations on Graviton could help reduce energy consumption during demand spikes. Kamran Zargahi, vice president of engineering at Uber, said the company is also beginning to experiment with AWS Trainium chips to train its AI models. These models process data from billions of rides and deliveries to optimize customer-driver matching, improve arrival time predictions, and personalize recommendations. Training models at this scale requires significant compute resources, and AWS has positioned Trainium as a more cost-efficient alternative to traditional GPU-based infrastructure. “By starting to pilot some of our AI models on Trainium, we're building a technology foundation that will make every Uber experience smarter,” Kamran Zargahi, vice president of engineering at Uber, said in the release. Uber joins a growing cohort of major tech companies, including Anthropic, OpenAI, and Apple, that are increasing their reliance on AWS’s custom AI chips.The momentum reflects a broader shift toward specialized silicon as organizations look to balance performance, cost, and energy efficiency in large-scale AI deployments. AWS framed the partnership as emblematic of the growing demand for purpose-built AI infrastructure among hyperscale customers.“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, AWS, North America.Related:OpenAI GPT-5.4-Cyber is More Open Than Claude MythosAbout the AuthorContributing WriterScarlett Evans is a freelance writer with a focus on emerging technologies and the minerals industry. Previously, she served as assistant editor at IoT World Today, where she specialized in robotics and smart city technologies. Scarlett also has a background in the mining and resources sector, with experience at Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022 before transitioning to freelance work.