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Nissan and Rescale: Innovation that Excites
技术
- 平台即服务 (PaaS) - 连接平台
适用行业
- 汽车
适用功能
- 产品研发
用例
- 预测性维护
服务
- 云规划/设计/实施服务
挑战
Nissan, a global full-line vehicle manufacturer, was facing challenges with its on-premise High Performance Computing (HPC) systems. The company was limited by fundamental aspects of on-premise computing, such as limited electric power, high total cost, and data center utilization challenges. Their on-premise HPC systems were constrained by the initial hardware and software specifications, were complex to operate, and struggled to handle high-demand (peak) loads. These inherent on-premise problems threatened Nissan's innovation, market leadership, agility, and time-to-market.
关于客户
Nissan is a global full-line vehicle manufacturer that sells more than 60 models under the Nissan, INFINITI and Datsun brands. In fiscal year 2018, the company sold 5.52 million vehicles globally, generating revenue of 11.6 trillion yen. Nissan’s global headquarters in Yokohama, Japan, manages operations in six regions: Asia & Oceania; Africa, the Middle East & India; China; Europe; Latin America; and North America. The company has a strong focus on innovative modern vehicle design and development while implementing best-in-class engineering and IT business practices for digital transformation.
解决方案
To address these challenges, Nissan chose Rescale’s ScaleX Enterprise platform because it provides diverse and scalable HPC resources on a pay-per-use model, and an efficient global administration infrastructure. Rescale’s managed HPC platform converted Nissan’s complex stack of software, hardware, and infrastructure into a single, unified solution that remains agile in the fast-moving technology environment. Nissan’s engineers are able to access the latest technology selection through a single, unified solution and at virtually unlimited scale. This allowed Nissan to allocate the right resources at the right time, avoid over-provisioning and wasting resources, and avoid under-provisioning and creating product development delays.
运营影响
数量效益
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