Solution Description

Global automotive parts supplier, focusing on automotive interior and exterior trim, automotive seats, cockpit electronics, and passive safety, while actively exploring new business opportunities.
The company has more than 240 branches worldwide, employing approximately 57,000 people.
The technical team of 4,100 experts is located in 14 R&D centers and other regional offices, with complete capabilities including engineering and software development, modeling, testing, and verification.
The utilization rate of desktop graphics workstations is low, leading to performance bottlenecks in some workstations, which results in decreased efficiency.
The license usage of application software is low. Research and development data is stored locally, which may cause data loss and data leakage.
Compute nodes are deployed using HPE DL360+ high-performance CPUs and graphics nodes using DL380+Nvidia GPUs, with storage nodes deployed using DL380+ large-capacity hard disks.
Through the design of a simulation cloud computing platform to integrate resources, supporting R&D design systems, simulation computing systems, and customized experiment management systems,users can shift from a traditional stand-alone model to a shared cloud computing model.

Implementation Steps

Architecture Design:: Design a simulation cloud computing platform that includes server, storage, network, and GPU.

Hardware Deployment:: Install deployment servers, storage devices, networks, and GPUs. The simulation cloud computing platform is developed to integrate resources for R&D design systems and to optimize the management of these resources.

User Assistance: Assist users in transitioning from a stand-alone mode to a shared cloud computing platform.

Solution Advantages

The emulated cloud computing platform integrates computing, storage, GPU, and software licenses.

Enhance efficiency and safety.

Solution Benefits

Integration of hardware and software resources facilitates dynamic sharing, enhances utilization efficiency, reduces research and development costs, and ensures unified management, significantly improving data security.

Remote collaboration and resource sharing enable cross-departmental cooperation. The methods of information management are progressively enhanced to provide foundational information for R&D design big data analysis.

Through the remote network connection to the Shanghai company's cloud computing platform for simulation design, the sharing of global resources is achieved.