Hewlett Packard Enterprise (HPE) > Case Studies > Chasing the next win: Oracle Red Bull Racing pushes data to the limit

Chasing the next win: Oracle Red Bull Racing pushes data to the limit

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Company Size
1,000+
Region
  • Europe
Country
  • United Kingdom
Product
  • HPE SimpliVity
  • HPE Synergy
  • HPE Apollo 2000
  • HPE Apollo 6500
  • HPE Nimble Storage
  • HPE Primera
  • HPE OneView
  • HPE InfoSight
Tech Stack
  • Data Analytics
  • Virtualization
  • Storage Management
  • Predictive Analytics
  • High-Performance Computing
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Innovation Output
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Analytics & Modeling - Real Time Analytics
  • Infrastructure as a Service (IaaS) - Cloud Computing
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Functions
  • Product Research & Development
  • Quality Assurance
Use Cases
  • Cybersecurity
  • Edge Computing & Edge Intelligence
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • Hardware Design & Engineering Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
Oracle Red Bull Racing is a Formula One racing team based in the United Kingdom. The team is composed of hundreds of people, including technicians, engineers, and drivers, all working towards the common goal of winning races. The team uses data-driven insights to develop and optimize their cars, making thousands of changes to the car's design between races. The team operates in a highly competitive and regulated environment, with new Formula One design regulations and established cost caps requiring them to be highly efficient in their use of resources. The team's success is heavily dependent on their ability to effectively use data and technology to drive performance improvements.
The Challenge
Oracle Red Bull Racing team is in a constant race against time to develop and optimize their cars for each of the 22 races in the Formula One season. The team has to make thousands of changes to the car's design between races, each of which needs to be simulated, manufactured, and tested. The team also has to work within new Formula One design regulations and established cost caps, making efficiency a top priority. Furthermore, changes in F1 rules limit the number of aerodynamics testing hours each team can run per week, making it crucial to optimize every second and achieve peak application performance.
The Solution
To achieve maximum efficiency and performance, the Red Bull Racing team partnered with HPE. They implemented a range of HPE products including HPE SimpliVity, HPE Synergy, HPE Apollo 2000, HPE Apollo 6500, HPE Nimble Storage, and HPE Primera. These solutions provide a software-defined, composable platform that allows the team to quickly adapt to changes and maximize IT usage. The high-density platforms also support the team's quest for efficiency, saving money with reduced power, cooling, and footprint costs. HPE InfoSight delivers AI-enabled predictive analytics to prevent issues, while HPE Primera guarantees 100% availability. The team also uses HPE SimpliVity as the core of their mobile data center, providing post-processing of race telemetry data and real-time insight to optimize car setup and support in-race decision-making.
Operational Impact
  • Enabled agility to adapt to changes on and off track
  • Supported rapid decision-making on a race weekend with high-performance and cost-effective IT infrastructure
  • Accelerated race day data postprocessing by 78% compared to legacy infrastructure, enabling better and faster answers
  • Provided a scalable and agile infrastructure that allowed the team to quickly adapt to changes, such as the need to support more virtual users and enable people to work from home during the pandemic
  • Delivered AI-enabled predictive analytics to prevent issues and ensure reliable, highly available IT
Quantitative Benefit
  • Accelerated race day data postprocessing by 78% compared to legacy infrastructure
  • Reduced the time required to crunch all the data from nine to two minutes

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