Since traditional HPC approaches employ tightly-coupled systems, R&D teams create workload-specific technology stacks focused on their needs, generally disconnected from each other. Proliferation of islands of analysis in organizations. Vendors meanwhile are not in a much better position to help. Many enterprises are finding that they do not have sufficient expertise to implement new technologies, slowing down their IT modernization efforts. Talent shortage for HPC is impacting both HPC vendors and customers. Additionally, organizations using simulation are onboarding new workloads and adopting additional techniques such as multiphysics and surrogate ML models, further driving up demand for HPC resources.
Enterprises’ needs for HPC resources are accelerating.Īs computational science and engineering methods see broader adoption, HPC is seeing increased demand. This has caused longer wait times for engineers, as well as project delays.
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As a result, IT is unable to upgrade on-premises HPC infrastructures to meet increasing demand from engineering or any ad-hoc spike computing needs. The long delay is likely to last for an extended period. Supply chain issues continue to impact HPC vendors’ ability to fulfill customer orders. Here are some of the chief challenges that may drive HPC to the cloud: 1. New capabilities and practices for HPC will require cultural adjustments as well.
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The focus needs to move from optimization of HPC hardware to optimization of R&D throughput.įor HPC to serve as a growth and innovation engine as workloads move to the cloud, engineering needs a culture change on par with the shift in software development over the past decade from waterfall processes to agile programming with continuous integration and continuous delivery. Digitally transforming engineering and R&D requires a fundamental reconceptualization of HPC practices. Government agencies represent the largest and fastest-growing category of adoption. According to Grand View Research, the overall HPC market is expected to reach $53.6 billion by 2027.
Simply lifting and shifting workloads from on-premises to the cloud is not enough.Ī lot of money is at stake here, so getting it right matters a lot.
With HPC as the engine that powers engineering and R&D, the demand for HPC resources continues to rise.
This transition is accelerating as engineering and R&D are finding that their ability to innovate and create new products is severely impacted by traditional high-performance computing (HPC) practices. With governments and the private sector increasingly pursuing digital and cloud transformation strategies, engineering and R&D within these organizations and agencies are also being pushed to shift to the cloud. Edward has master's and bachelors' degrees in electrical engineering and computer science from MIT and an MBA from NYU Stern School of Business. Earlier in his career, Edward worked as a consultant at McKinsey & Company, and served as an engineering lead at Oracle’s CRM division. Prior to Rescale, Edward ran product and marketing at D2IQ (formerly Mesosphere), as well as product marketing at VMware. Edward Hsu is responsible for product strategy, design, roadmap, and go-to-market and for driving the commercial success of Rescale’s product portfolio.
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