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The High-Performance Computing (HPC) sector is witnessing robust growth, fueled by the escalating demand for sophisticated data processing across diverse industries. One significant trend is the surging adoption of HPC in artificial intelligence (AI) and machine learning (ML). These cutting-edge technologies demand immense computational power for training intricate models and scrutinizing vast datasets.
With sectors like healthcare, finance, and autonomous driving leaning heavily on AI and ML, the appetite for HPC systems to bolster these applications is soaring. For instance, in April 2024, The Barcelona Supercomputing Center (BSC) and Nvidia partnered to merge AI with High-Performance Computing (HPC) over the next five years. This collaboration will focus on developing Large Language Models, climate applications, and optimizing software for GPUs and ARM-Nvidia Grace architectures, leveraging BSC's MareNostrum 5 supercomputer to drive significant scientific advancements.
Cloud-based HPC services are carving out a pivotal role in the HPC landscape. Historically, HPC systems resided on-premises, necessitating hefty capital outlays for hardware and infrastructure. With the advent of cloud computing, providers are rolling out scalable HPC solutions, granting organizations on-demand access to formidable computing resources. This shift is leveling the playing field, allowing smaller enterprises and research bodies to harness top-tier computational power without hefty initial investments.
Amazon Web Services (AWS), for example, has expanded its HPC offerings with the launch of AWS ParallelCluster 3, enabling more efficient and scalable cloud-based HPC deployments. For instance, in August 2023, Citadel Securities and Google Cloud announced partnership with Harvard University to advance heart disease research using High-Performance Computing (HPC) in the public cloud. The study aims to simulate the effectiveness of magnetically controlled artificial bacterial flagella for unclogging arteries. This collaboration demonstrates the potential of cloud-based HPC to accelerate complex medical research and reduce costs.