MERCEDES-AMG PETRONAS F1 TEAM STORY COLLECTION
Mercedes-AMG PETRONAS F1 Team responds to the intensity of race weekends with Microsoft
Overview
Mercedes‑AMG PETRONAS F1 Team uses Microsoft to power real‑time race decisions
In a sport where every decision is made at full speed, race teams rely on technology that can keep up. Azure high‑performance computing powers thousands of live strategy simulations during race weekends, with Azure SQL‑backed race systems and dynamically scaling compute and AI validating scenarios in real time, helping strategists make confident calls under extreme pressure.
SEE THE IMPACT
Turning strategy into measurable performance
“The quicker we can turn data results around, the quicker we can make a split‑second decision which can make or break a race.”
David Cadywould, Head of Enterprise Technology, Mercedes-AMG PETRONAS F1 Team
1,000+
Thousands of simulations run during and around race weekends
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300
Sensors per car
“Azure Batch has revolutionized our race strategy — scaling thousands of simulations in real time, we can ramp up massive compute during the race so we get as much insight when it matters most.”
Joey McMillan, Lead Race Strategist, Mercedes-AMG PETRONAS F1 Team
Inside the tech
Explore the Microsoft solutions Mercedes-AMG PETRONAS F1 Team uses to drive innovation
Azure Batch
Run large‑scale, parallel compute jobs with automated scheduling and elastic scaling.
Azure Virtual Machines
Provision and scale virtualized compute resources on demand to support diverse workloads.
SQL Server on Azure
Run mission‑critical relational databases with enterprise‑grade performance, security, and reliability.
Azure High Performance Compute (HPC)
Deliver low‑latency, high‑throughput compute for performance‑intensive and time‑critical workloads.
Azure Kubernetes Service (AKS)
Deploy, manage, and scale containerized applications using managed Kubernetes.
Azure Container Registry
Securely build, store, and manage container images for application deployment.
Azure Machine Learning
Develop, train, and deploy ML models with end‑to‑end MLOps and scalable compute.
Azure Monitor
Collect and analyze telemetry to monitor apps, infrastructure, and performance in real time.
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