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

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

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

Hewlett Packard Enterprise (HPE)

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Enabled agility to adapt to changes on and off track
Impact #2	Supported rapid decision-making on a race weekend with high-performance and cost-effective IT infrastructure
Impact #3	Accelerated race day data postprocessing by 78% compared to legacy infrastructure, enabling better and faster answers

Impact #1

Enabled agility to adapt to changes on and off track

Impact #2

Supported rapid decision-making on a race weekend with high-performance and cost-effective IT infrastructure

Impact #3

Accelerated race day data postprocessing by 78% compared to legacy infrastructure, enabling better and faster answers

Benefit #1	Accelerated race day data postprocessing by 78% compared to legacy infrastructure
Benefit #2	Reduced the time required to crunch all the data from nine to two minutes

Benefit #1

Accelerated race day data postprocessing by 78% compared to legacy infrastructure

Benefit #2

Reduced the time required to crunch all the data from nine to two minutes

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Overview

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

Operational Impact

Quantitative Benefit