Cadence makes use of IBM Cloud HPC
With more than 30 years of experience in computational software, Cadence is a leading global developer in electrical design automation (EDA). Chips and other electrical devices that power today’s growing technology are designed with its assistance by businesses all over the world. The company’s need for computational capacity is at an all-time high due to the increased need for more chips and the integration of AI and machine learning into its EDA processes. Solutions that allow workloads to move between on-premises and cloud environments seamlessly and allow for project-specific customization are essential for EDA companies such as Cadence.
Chip and system design software development requires creative solutions, strong computational resources, and cutting-edge security support. Cadence leverages IBM Cloud HPC with IBM Spectrum LSF as the task scheduler. Cadence claims faster time-to-solution, better performance, lower costs, and easier workload control using IBM Cloud HPC.
Cadence also knows personally that a cloud migration may call for new skills and expertise that not every business has. The goal of the entire Cadence Cloud portfolio is to assist clients worldwide in taking advantage of the cloud’s potential. Cadence Managed Cloud Service is a turnkey solution perfect for startups and small- to medium-sized businesses, while Cloud Passport, a customer-managed cloud option, enables Cadence tools for large enterprise clients.
Cadence’s mission is to make the cloud simple for its clients by putting them in touch with experienced service providers like IBM, whose platforms may be utilized to install Cadence solutions in cloud environments. The Cadence Cloud Passport approach can provide access to cloud-ready software solutions for usage on IBM Cloud, which is beneficial for organizations looking to accelerate innovation at scale.
Businesses have complicated, computational problems that need to be solved quickly in today’s cutthroat business climate. Such issues may be too complex for a single system to manage, or they may take a long time to fix. For businesses that require prompt responses, every minute matters. Problems cannot fester for weeks or months for companies that wish to stay competitive. Companies in semiconductors, life sciences, healthcare, financial services, and more have embraced HPC to solve these problems.
Businesses can benefit from the speed and performance that come with powerful computers cooperating by utilizing HPC. This can be especially useful in light of the ongoing desire to develop AI on an ever-larger scale. Although analyzing vast amounts of data may seem unfeasible, high-performance computing (HPC) makes it possible to employ powerful computer resources that can complete numerous calculations quickly and concurrently, giving organizations access to insights more quickly. HPC is also used to assist companies in launching innovative products. Businesses are using it more frequently because it helps manage risks more effectively and for other purposes.
HPC in the Cloud
Businesses that operate workloads during periods of high activity frequently discover that they are running above the available compute capacity on-premises. This exemplifies how cloud computing may enhance on-premises HPC to revolutionize the way a firm uses cloud resources for HPC. Cloud computing can help with demand peaks that occur throughout product development cycles, which can vary in length. It can also give businesses access to resources and capabilities that they may not require continuously. Increased flexibility, improved scalability, improved agility, increased cost efficiency, and more are available to businesses who use HPC from the cloud.
Using a hybrid cloud to handle HPC
In the past, HPC systems were developed on-site. But the huge models and heavy workloads of today are frequently incompatible with the hardware that most businesses have on-site. Numerous organizations’ have turned to cloud infrastructure providers who have already made significant investments in their hardware due to the large upfront costs associated with acquiring GPUs, CPUs, networking, and creating the data Centre infrastructures required to effectively operate computation at scale.
A lot of businesses are implementing hybrid cloud architectures that concentrate on the intricacies of converting a section of their on-premises data Centre into private cloud infrastructure in order to fully realize the benefits of both public cloud and on-premises infrastructures.
Employing a hybrid cloud strategy for HPC, which combines on-premises and cloud computing, enables enterprises to leverage the advantages of each and achieve the security, agility, and adaptability needed to fulfil their needs. IBM Cloud HPC, for instance, may assist businesses in managing compute-intensive workloads on-site flexibly. IBM Cloud HPC helps enterprises manage third- and fourth-party risks by enabling them to use HPC as a fully managed service, all while including security and controls within the platform.
Looking forward
Businesses can overcome many of their most challenging problems by utilizing hybrid cloud services via platforms such as IBM Cloud HPC. Organization’s adopting HPC should think about how a hybrid cloud strategy might support traditional on-premises HPC infrastructure deployments.
