## The Semiconductor Industry’s Adoption of High-Performance Computing for Innovation
The semiconductor industry has become indispensable in various sectors such as healthcare, manufacturing, and financial services. To keep up with the growing demand for semiconductors, electronic design automation (EDA) tools have become crucial. However, to drive innovation at scale, EDA leaders require substantial computing power. This is where high-performance computing (HPC) in the cloud comes into play.
IBM Cloud® HPC offers organizations the capability to manage peak workloads effectively and minimize the risk of downtime. As the industry increasingly adopts generative artificial intelligence (AI) and large language models (LLM) for enhanced productivity, there is a growing need for high levels of compute power. Hybrid cloud HPC solutions are proving to be particularly valuable in addressing these requirements.
### Cadence leverages IBM Cloud HPC
Cadence, a prominent EDA leader with over 30 years of experience in computational software, is an example of a company benefiting from IBM Cloud HPC. With a high demand for compute resources due to the incorporation of AI and machine learning into its EDA processes, Cadence requires a significant amount of compute power. Therefore, a hybrid cloud approach has enabled Cadence to seamlessly shift workloads between on-premises and the cloud, providing the agility, flexibility, and security required to meet these demands.
### The role of a hybrid cloud solution for HPC
Cadence’s hybrid, multicloud approach, including IBM Cloud HPC, has allowed it to develop its chip and system design software faster and at scale. By leveraging IBM Cloud as part of its multicloud environment and IBM LSF® as the HPC workload scheduler, Cadence has achieved high-compute utilization, optimized its cloud budget, and streamlined computational workloads. This has led to improved performance and faster time to value, benefiting the company’s strategic R&D work.
### Get started with IBM Cloud HPC
As enterprises seek to address their most complex challenges, IBM Cloud HPC provides an integrated solution across critical components of compute, network, storage, and security. It includes security and controls built into the platform to help clients consume HPC as a managed service while addressing third- and fourth-party risks. Additionally, IBM Storage Scale complements IBM Cloud HPC, offering a globally integrated solution designed to manage and move data across hybrid environments in a cost-effective manner for implementing HPC workloads in real-time.
To further explore how IBM Cloud HPC can scale your business with speed and security, join IBM at Supercomputing 23 in Denver at Booth #1925.
*Explore IBM Cloud HPC*
**By Vice President, Strategic Engagements**
**Q: What is electronic design automation (EDA)?**
A: EDA refers to software tools that are used to design and develop electronic systems, including integrated circuits and printed circuit boards.
**Q: What is high-performance computing (HPC)?**
A: HPC involves the use of supercomputers and parallel processing techniques to solve complex computational problems.
**Q: What are the benefits of a hybrid cloud approach for HPC?**
A: A hybrid cloud approach allows organizations to seamlessly shift workloads between on-premises and the cloud, providing agility, flexibility, and security while optimizing costs.
**Q: How does IBM Cloud HPC help enterprises in the semiconductor industry?**
A: IBM Cloud HPC offers high levels of compute power, scalability, and security, enabling semiconductor companies to address compute-intensive challenges and accelerate their innovation and R&D efforts.
*The information in this article is based on “How the semiconductor industry is leveraging high-performance computing to drive innovation” from IBM.*