US EditionUber Bets on Amazon's Custom Chips to Boost AI Efforts
Uber will run more ride-matching traffic on Graviton4 and begin training AI models on Trainium3 as it seeks lower costs and faster response times.
- On Tuesday, Amazon announced that Uber is expanding its AWS contract to run Trip Serving Zones on Graviton4 processors and begin a pilot training AI models on Trainium3 chips.
- Uber previously shifted infrastructure from its own data centers in 2023, signing seven-year agreements with Oracle and Google, making this its third major cloud relationship in three years.
- At Uber's scale of more than 40 million trips daily across 72 countries, compute costs are critical; Amazon claims Trainium3 runs at roughly 30 to 50 per cent of the cost of comparable Nvidia H100 or H200 hardware.
- Adding AWS makes Uber a significant customer of all three major hyperscalers simultaneously, positioning the company to process rider-matching data in milliseconds across its global operations.
- Rising AI infrastructure costs are forcing companies to evaluate compute sustainability, while the AWS software ecosystem for Trainium deployments is now meaningfully more capable than it was 18 months ago.
13 Articles
13 Articles
Uber joins Amazon's Trainium roster with AWS expansion deal
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 […] This story continues at The Next Web
The company is working to optimize its digital interface, accelerate ride-sharing, and personalize user experiences.
Uber bets on Amazon's custom chips to boost AI efforts
Uber is using Amazon's custom chips to speed up computing and train artificial intelligence models, the cloud giant said on Tuesday, as the ride-hailing firm seeks advanced hardware to handle growing digital workloads.
The cloud computing landscape is experiencing a new strategic episode. As technology companies seek to optimize their infrastructure, architectural choices become a key lever. In this context, Uber is reviewing its copy and strengthening its links with Amazon Web Services. Behind this decision, a reality is imposed: the chips developed internally ... Read more Amazon's article seduces Uber with its AI chips and redistributes cloud maps has appea…
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