For decades many would understand the High Performing Computing (HPC) system as the supercomputer that consists of millions of processors or processor cores which typically would perform more than one million times faster than any fastest desktop computer, laptop or normal server systems.
As technology advances, HPC workloads are used to uncover important new insights that combine the likes of artificial intelligence and machine learning, enabling organisations to make split-second decisions. Typically, HPC leverages on a massive parallel computing that runs multiple tasks simultaneously on numerous computer servers or processors using tens of thousands to millions of processors or processor cores using high-speed and high-performance components that could keep pace and optimise the computing power and performance of the cluster.
Over the last decade, universities have leveraged on HPC for a higher return of investment through the activities in Science, Technology, Engineering and Mathematics (STEM). HPC resources has become a competitive differentiator for institutions especially when there is a surge in demand from HPC users such as university’s researchers and innovators where these supercomputers could take their research to the next level when it helped to computationally accelerated research in fields of health data analytics, bioinformatics, numerical modelling, and machine learning.
As HPC is all about speed and scale, Google Cloud provides significantly faster, more scalable and more flexibility to help accelerate time to completion, so that organisations can convert ideas into discoveries and inspirations into products.
Infrastructures plus ecosystem capabilities (such as AI and data analytics) hosted in a cloud service has made it possible for organisations to own HPC rather than having the HPC clusters on premise where organisations can build their own supercomputer by using the latest Intel and AMD processors, NVIDIA GPUs, high-throughput, low-latency object and file storage (network-attached storage (NAS)) while still able to control and manage the cost.
Google Cloud HPC Toolkit features a modular design that enables composable HPC environments that easily define and deploy both simple and complex HPC environments. The toolkit allows organisations to create a HPC cluster with an existing blueprint or modify it based on different needs to build different configurations.
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