The Case
As semiconductor designs grew increasingly complex, NXP faced limitations with its on-premises infrastructure. The static nature of their data centers could not accommodate the agility and scaling potential offered by AWS. To maintain competitiveness and accelerate innovation, NXP recognized the necessity of a more agile and scalable solution.
The situation
NXP’s existing HPC environment, supporting thousands of engineers across multiple global design centers, was hindered by fixed compute capacities and lengthy job queue times. The company’s diverse product portfolio demanded a flexible infrastructure capable of handling varying workloads efficiently. Additionally, the need for improved security and compliance measures further complicated the existing setup.
The impact
The constraints of the on-premises infrastructure led to increased time-to-market and higher operational costs. Engineers spent considerable time managing compute resources instead of focusing on design and innovation. The inability to scale resources dynamically resulted in inefficiencies and limited the company’s ability to respond swiftly to market demands.
"With AWS and the support of SUE, we’ve become more flexible and scalable while leveraging the latest technologies and security features."
Resolution
Partnering with SUE, NXP initiated a large-scale migration of its HPC environment to AWS. This involved transferring 22 petabytes of R&D storage data from global data centers and optimizing compute resources for improved efficiency. SUE designed a landing zone using Amazon FSx for NetApp ONTAP to meet storage performance requirements, enabling dynamic scaling, cutting job wait times by 50% and boosting 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. This reduced time-to-market, improved engineering productivity, and provided a scalable, future-proof R&D platform.
Facts and figures
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Large scale HPC migration (22 PB of storage) to AWS
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Up to 50% reduction in pending times for cloud jobs
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Up to 15% improvement in utilization of compute power
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Enhanced security by automated patching
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Cloud cost reduction through optimized use of cloud resources
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