High-Performance Computing (HPC) makes use of supercomputers and parallel processing techniques to expedite the completion of time-consuming operations or numerous tasks at once.
Edge computing and artificial intelligence (AI) are two technologies that potentially enhance HPC's capabilities and provide high-performance processing capacity to a variety of industries.
GlobalData has highlighted the important technical developments influencing the high-performance computing subject.
The collecting of massive volumes of data by people's and organizations' gadgets has positioned AI at the forefront of technological disruption. Without data analytics and AI, the massive volumes of data generated every day are useless. The usage of AI in the enterprise is growing, which is boosting demand for high-performance computers.
Tensor processing units (TPUs) vs. graphic processing units (GPUs) (TPUs)
The first application for GPUs was gaming, with the technology revolutionizing high-resolution games. Other applications for GPUs have emerged, particularly in HPC. GPUs are used for data-intensive tasks such as machine learning and self-driving automobiles. Because of their emphasis on data calculations, they have shown to be better processors for processing HPC workloads.
As a service, HPC (HPCaaS)
Many suppliers have transitioned from selling equipment to offering HPCaaS. The growth of HPCaaS is tied to the rise of the cloud as an HPC solution. The shift toward HPCaaS benefits cloud providers such as Amazon Web Services (AWS), Google, and Alibaba, however conventional HPC suppliers also provide HPCaaS.