NXP achieves greater scalability and flexibility with HPC migration to AWS

The case

As semiconductor designs became increasingly complex, NXP reached the limits of its on-premises infrastructure. The static nature of its data centers offered insufficient agility and scalability compared to what AWS makes possible. To remain competitive and accelerate innovation, NXP recognized the need for a more flexible and scalable solution.

The situation

NXP's existing HPC environment, which supports thousands of engineers across multiple global design locations, was limited by fixed compute capacity and long wait times in job queues. The company's broad and diverse product portfolio required a flexible infrastructure that could efficiently handle a wide range of workloads. In addition, increasing security and compliance requirements made the existing setup even more complex.

The impact

The limitations of the on-premises infrastructure led to longer time-to-market and higher operating costs. Engineers spent a lot of time managing compute resources instead of focusing on design and innovation. The lack of dynamic scalability created inefficiencies and limited NXP's ability to respond quickly and effectively to changing market demand.

Maarten Kelderman, Director of R&D IT Design Infrastructure

"With AWS and SUE's support, we have become more flexible and scalable, while benefiting from the latest technologies and advanced security features."

The solution

In collaboration with SUE, NXP started a large-scale migration of its HPC environment to AWS. This included moving 22 petabytes of R&D storage from global data centers and optimizing compute resources for greater efficiency. SUE designed a landing zone with Amazon FSx for NetApp ONTAP to meet strict storage performance requirements. This enabled dynamic scalability, reduced job queue wait times by 50%, and increased compute efficiency by 15%. Automated patching mechanisms improved security by minimizing vulnerabilities. By leveraging real-time job data and reconfiguring the LSF job scheduler, SUE helped NXP manage job allocations more effectively. The result: shorter time-to-market, higher engineer productivity, and a scalable, future-proof R&D platform.