As a core R&D force, new energy vehicle R&D teams are not only devoting full efforts to developing next-generation ultra-efficient and eco-friendly vehicles, but also providing technical support to a number of internationally renowned brands. However, in the process of the continuous launch of new models across multiple categories, the scale of high-performance computing (HPC) workloads for automakers continues to climb accordingly, and the corresponding cloud service costs have also increased significantly.
The complexity of HPC workloads has surged sharply
The costs of new vehicle model development have climbed
In the field of automotive R&D, computer-aided engineering (CAE) software—such as Ansys LS-DYNA—plays a pivotal role in the R&D process of new energy vehicles. CAE solutions run through the entire process of new vehicle design, testing, and optimization, providing robust technical support for each phase: this includes stress analysis to ensure passenger safety, as well as fluid flow simulation to evaluate aerodynamic efficiency.
When it comes to the current IT challenges, the team previously relied primarily on leasing high-performance computing (HPC) resources from public cloud service providers to run CAE solutions. However, with the intensive launch of new vehicle models, the scale and complexity of HPC workloads have continued to rise, and the original cloud computing model has gradually revealed issues of cumbersome processes and excessive costs.
At the same time, the new energy vehicle R&D team attaches great importance to innovative practices in low-carbonization and energy efficiency, and firmly believes that green technology is a crucial pillar in addressing climate change. To support engineers in developing more advanced and eco-friendly vehicles, the team has decided to adopt a dedicated on-premises solution to fully replace the original 37,000-core cloud-based HPC platform.
Stable, Reliable, Green and Energy-Efficient
Provide a Complete "Turnkey" Project
While multiple parties in new energy vehicle R&D were seeking HPC service providers, LCFC has emerged as the undisputed first choice for this project by leveraging its solid reputation and extensive experience in the field of high-performance computing (HPC) deployment in China and even globally.
LCFC has helped us build a highly stable, high-performance, and high-efficiency HPC platform to support demanding R&D workloads. Incorporating GPU servers into the cluster design played a crucial role in this success, enabling us to efficiently run each task on an optimal platform.
Overall, LCFC has provided a "turnkey" solution for new energy vehicle R&D, encompassing the deployment and stress testing of all software and hardware, as well as the installation and configuration of CAE software.
