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实例探究 > Zeleros Bolsters Engineering Productivity with Rescale on AWS HPC

Zeleros Bolsters Engineering Productivity with Rescale on AWS HPC

技术
  • 基础设施即服务 (IaaS) - 云计算
  • 平台即服务 (PaaS) - 连接平台
适用行业
  • 运输
适用功能
  • 离散制造
  • 产品研发
用例
  • 预测性维护
  • 过程控制与优化
服务
  • 云规划/设计/实施服务
  • 系统集成
挑战
Zeleros, a startup developing an innovative hyperloop system to revolutionize ground travel, was facing challenges with its local computing capabilities. The company's local computing capabilities lacked the flexibility to accommodate the changing requirements for simulations and modeling. The on-premises computing capacity was fully occupied by a single simulation, causing significant impediments to productivity. The team was also losing a significant amount of time benchmarking to find the appropriate HPC instance for each simulation.
关于客户
Zeleros is a startup based in Valencia, Spain, that is developing an innovative hyperloop system to revolutionize ground travel. The company was founded in 2016 and has since been at the forefront of ground transportation design. Zeleros' early innovations won the SpaceX at Hyperloop Pod Competition, a global competition organized by Elon Musk. The company's Dynamics Engineer, Federico Lluesma, is responsible for managing the development of hyperloop model simulations to test and perfect definitive attributes of the company’s prototype and ensure real-world performance.
解决方案
Zeleros turned to Amazon Web Services (AWS) for cloud-based high performance computing (HPC) to enhance and support their process. The company used the Rescale HPC automation platform, which is built for hybrid and cloud HPC, and geared specifically for companies in the R&D phase. This platform helped Zeleros optimize AWS services and significantly transformed the capabilities of the Zeleros team. Rescale provided application lifecycle management that streamlined software configuration and licensing updates. The platform also unlocked new simulations that had been impossible to execute. Rescale also provided Zeleros with pre-set command lines on a graphical user interface, reducing complexity for all users and enhancing team-wide efficiency.
运营影响
  • The team’s turnaround time for aerodynamic simulations was instantly reduced from one week to one day.
  • The new interface allowed users to bypass a previous need for a terminal connection and manual entry, significantly reducing the learning curve for the growing team of new HPC users at Zeleros.
  • Rescale streamlined hardware selection and optimization according to a range of key specifications including memory and workload.
数量效益
  • Turnaround time for aerodynamic simulations reduced from one week to one day.
  • Significant reduction in the learning curve for the growing team of new HPC users at Zeleros.

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