NXP Semiconductors is a significant manufacturer in its niche, with 29,000 employees in over 30 countries. It serves the mobile and communications infrastructure, automotive, and industrial IoT sectors. The company accounted for revenues of $8.61 billion in 2020.
Now, the provider will migrate the vast bulk of its electronic design automation (EDA) workloads to AWS, an infrastructure-as-a-service (IaaS) giant. In turn, NXP Semiconductors will increase efficiency and power to design a new generation of faster and more powerful computer chips.
NXP Semiconductors will leverage AWS’s infrastructure and capabilities in HPC, storage, analytics, and ML. Thus, it will improve its collaboration and electronic design automation across all design centers.
AWS will allow NXP to cut costs and minimize design project scheduling risks. Furthermore, it will manage the computing resources, providing NXP engineers more time to focus on innovation.
Olli Hyyppa, who serves the role of a CIO and senior vice president at NXP Semiconductors, had this to say:
We believe cloud-based EDA is critical to accelerating semiconductor innovation and getting new designs to market faster to power an increasingly digital world where more and more devices and infrastructure are connected. AWS gives us the best scale, global presence, and selection of compute and storage options, with continuous improvements in price-performance that we need. We’re excited to expand our relationship with AWS to power the next generation of EDA workloads in the cloud. This will give precious time back to our design engineers to focus on innovation and lead the transformation of the semiconductor industry.
NXP Semiconductors also expects long-term benefits from moving to the public cloud. The provider believes that it will improve some tasks, thus revolutionizing the design and testing processes of the central processing units.
According to NXP, each new chip design goes through extensive testing and validation before manufacturing to ensure it’s functionally safe and will deliver the performance it’s supposed to provide. NXP’s complex EDA processes include front-end design, performance simulation, and verification, along with workloads such as timing and power analysis, design rule checks, and other applications used to prepare a device for production.
Up to now, NXP Semiconductors has done this on-premises in internal data centers with a fixed compute capacity. However, due to the increasing complexity of newer chips, these processes might take months or even years, calling for accurate forecasting and installation of new computing infrastructure.
We’re proud to support #innovation in the #semiconductor industry. Look forward to seeing what becomes possible when chip design moves to the #cloud at such a large scale. @AWScloud @NXP #AWS #NXP https://t.co/ha9mCw4zZJ
— Kathrin Buvac (@KathrinBuvac) October 14, 2021
By moving to the AWS cloud, NXP will get the scalability and agility to progress numerous projects simultaneously on-demand, regardless of complexity. Furthermore, it will conduct dozens of performance simulations in parallel to expedite time to result.
Dave Brown, who serves the role of vice president of Amazon Elastic Compute Cloud, Amazon Web Services, had this to say:
At AWS, we consider ourselves to be a community of builders, and this engagement with NXP reinforces what’s possible when you free builders to work in the best environments, with the infrastructure and capabilities they need. By shifting their EDA workloads to AWS, NXP designers will have access to the best tools available for collaborating on semiconductor design and development around the world. This move will help NXP produce chips that power innovation in IoT, connected cars, and more. We’re proud to support a leading driver of innovation in the semiconductor industry, and we look forward to seeing what becomes possible when chip design moves to the cloud at such a large scale.
NXP will leverage key AWS analytics and machine learning services to aid its R&D efforts. It already uses Amazon QuickSight. However, now will also use the Amazon SageMaker and a wide range of specialized instances on AWS, such as Amazon FSx for Lustre.