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From Rides to Game Day Eats: How Ampere is Powering Your Plans for the Big Game

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Team Ampere
05 February, 2025

The big game is a masterclass in controlled chaos.

People head across town for watch parties. Group chats fill up with last-minute food orders. Ride requests spike right before kickoff and again as soon as the game ends. Every tap, swipe and ETA update depends on technology that can respond instantly, even when millions of people are doing the same thing at once.

Ampere® is part of what makes it all work. This year, that connection feels especially close to home with the big game taking place right next to Ampere’s headquarters in Santa Clara.


Getting There Without the Scramble

If you’re catching a ride instead of driving, apps like Uber are doing much more than finding you a car.

Behind the scenes, Uber’s systems continuously match riders with drivers, predict arrival times, adjust pricing as demand changes, and reroute trips as traffic builds. All of this happens in real time and at massive scale, especially on game day when demand spikes quickly and unpredictably.

To handle that load, Uber runs major parts of its platform on Oracle Cloud Infrastructure (OCI), which is designed for high-volume, latency-sensitive workloads.


Ampere, Behind the Scenes in the Cloud

So what’s powering that infrastructure?

Ampere designs CPUs specifically for modern cloud and AI workloads. These are services that need to scale instantly, remain predictable under pressure and handle large amounts of parallel activity. OCI offers Ampere-based compute instances so customers can run these always-on, real-time services efficiently.

Uber is one of those customers.

As Uber expanded its use of OCI, it began running critical backend services on the newest AmpereOne® M–powered A4 instances. These instances are designed to deliver consistent performance and high throughput, which is a strong fit for workloads built around constant prediction, matching and decision-making.

Rather than simply moving workloads over, teams from Uber, Oracle, and Ampere worked together to optimize how Uber’s applications run on this infrastructure. The focus was practical: staying responsive during traffic spikes, scaling smoothly when demand surges and doing it efficiently.

That collaboration matters on days like game day, when millions of people open the app within minutes of one another. When your ride request goes through instantly or your ETA updates in real time, the cloud infrastructure is doing exactly what it was designed to do, even under pressure.


Game Day Food, Same Story

Ordering food for the game follows a similar pattern.

Coordinating deliveries, updating ETAs and balancing restaurant capacity all rely on real-time data and prediction. Food delivery demand also tends to spike at the same moments, like before kickoff, during halftime and right after the game ends.

Running these services on Ampere-powered compute in OCI helps platforms stay responsive during peak demand without needing to over-provision resources.


Why the Big Game Is a Real Test

The big game is one of the biggest stress tests of the year for digital platforms.

Demand surges suddenly. Millions of predictions happen in real time. There is no tolerance for lag or downtime. This is where cloud infrastructure and the processors underneath it make a real difference.

Ampere CPUs are built to handle high-throughput workloads efficiently, helping platforms scale when it matters most.


The Tech You Don’t Think About, But Rely On

When you’re heading to a watch party or tracking a delivery from your couch, you’re not thinking about cloud architecture or processors. You shouldn’t have to.

Behind those everyday moments is infrastructure designed for exactly this kind of demand. That behind-the-scenes infrastructure is what keeps your game day plans running smoothly.

So the next time you tap “request ride” or “place order,” know that there’s a lot happening behind the scenes, and Ampere is helping power the experience.

Created At : February 4th 2026, 10:19:23 pm
Last Updated At : February 5th 2026, 5:00:45 pm
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