NXP Achieves Greater Scalability and Flexibility with HPC Migration to AWS

Limitations of on-premises infrastructure

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.

Maarten Kelderman, Director R&D IT Design Infrastructure
"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

  • Check

    Large scale HPC migration (22 PB of storage) to AWS

  • Check

    Up to 50% reduction in pending times for cloud jobs

  • Check

    Up to 15% improvement in utilization of compute power

  • Check

    Enhanced security by automated patching

  • Check

    Cloud cost reduction through optimized use of cloud resources

Get in touch to future-proof your HPC workloads

Stefan Behlen

Let's talk!


Get in touch to future-proof your HPC workloads

* required

By sending this form you indicate that you have taken note of our privacy Statement.
Privacy Overview
This website uses cookies. We use cookies to ensure the proper functioning of our website and services, to analyze how visitors interact with us, and to improve our products and marketing strategies. For more information, please consult our privacy- en cookiebeleid.