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Red Bull Racing accelerates performance with hyperconverged IT
技术
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 汽车
适用功能
- 离散制造
- 产品研发
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 系统集成
挑战
Red Bull Racing, a competitive force in Formula One racing, relies heavily on IT for everything from business processes to vehicle design to onsite track support on race days. With proprietary, F1-specific applications generating significant amounts of data, the team needed a solution for its growing storage needs for the virtualized estate. The team's legacy infrastructure was slowing down performance. A mix of traditional virtualized servers plus virtual desktop infrastructure resulted in roughly 500 VMs spread across disparate hardware, creating a disjointed and heterogeneous environment. With 50 TB of data, infrastructure sprawl was becoming a costly liability, and software engineers using virtual desktops were noticing performance lags.
关于客户
Red Bull Racing is a UK-based Formula One racing team that has been a competitive force in the sport since 2005. As of its 2016 season, the team has notched 53 wins and four double world championships, in part by adapting to design changes and new regulations with agility. The team designs, manufactures, and races its high-performance F1 vehicles. In addition, the on-site IT organization supports administrative functions such as marketing, finance, and human resources. A race car may be a finely tuned machine driven by a gifted athlete, but it is also a technology platform, generating around 400 GB of data on a race weekend.
解决方案
Red Bull Racing's IT team considered both traditional architectures and hyperconverged infrastructure in its search for faster IT. The competitive selection process involved rigorous testing. Ultimately, the team decided on HPE SimpliVity. HPE SimpliVity now provides the basis for Red Bull Racing’s VMware and VDI estate, in addition to providing the team’s trackside infrastructure for race-day analysis. The difference is noticeable. For example, on race days the team offloads data in real time from a car, then post-processes it for analytics. With HPE SimpliVity, the time required for post-processing has gone from nine minutes to two minutes.
运营影响
数量效益
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