HIGH PERFORMANCE COMPUTING (HPC)

High-performance computing (HPC) typically uses parallel processing to solve complex computational problems. HPC systems typically comprise many interconnected processors that collaborate to solve a single problem, enabling them to perform calculations significantly faster than traditional computers.

HPC systems are used in a wide variety of fields, including:

Business to analyze financial data, gain deep learning insights from oil and gas exploration, optimize supply chains, and develop marketing strategies.
Engineering to design and test new products, such as airplanes, automobiles, bridges, and skyscrapers.
Financial Services to increase the accuracy of risk analysis and replace manual tasks with AI capabilities.
Government in various applications, such as weather forecasting, nuclear weapons research, and intelligence gathering.
Medical Research, such as advanced imaging transmission electron cryomicroscopy (cryo-EM), in which molecules are studied at frigid temperatures (-200⁰ Celsius).
Science to simulate complex physical phenomena, such as climate change, drug discovery, and protein folding.

HPC systems are becoming increasingly affordable and powerful, making them accessible to a broader range of users and organizations. HPC is a rapidly evolving field that enables scientific discovery, innovation, and engineering.

Below is a brief overview of the benefits of HPC to improve:

Accuracy by producing more accurate results than traditional computers. This is because they can perform more calculations and use more sophisticated algorithms.
Scale by solving huge problems, essential for problems involving large amounts of data or complex calculations.
Speed by performing calculations much faster than traditional computers. This allows scientists and engineers to solve problems that would be impossible or impractical with conventional computers.

According to various sources, the HPC market is expected to grow at a compound annual growth rate (CAGR) of around 6.7% to 11.2% from 2023 to 2030, reaching a value of US$77.53 billion to US$107.48 billion by 2030. The main drivers for this growth are the increasing demand for new applications, diversification and expansion of the IT industry, and the emerging need for HPC in cloud, AI, and engineering applications.

Some challenges that may hinder the growth of the HPC market include a lack of expertise, high maintenance costs, limited advancements in high-performance workstations, and security concerns. The HPC market segments comprise components, deployment types, end-users, and regions. The major players in the HPC market include AMD, HPE, Cisco, Dell, Fujitsu, Intel, IBM, Lenovo, Microsoft, and Nvidia.

Some of the recent developments in HPC are:

Exascale Computing: Supercomputers that can perform more than one exaflop (10¹⁸ FLOPS), which is about 50 times faster than the current fastest supercomputer. Exascale computing will enable unprecedented simulations and data analysis across various domains, including climate modeling, astrophysics, genomics, and artificial intelligence.
HPC with AI and ML: AI and ML are increasingly integrated with HPC to enhance the performance, efficiency, and accuracy of scientific applications, and are being used for training large models and simulations. For example, AI and ML can optimize the design of experiments, accelerate the processing of large datasets, improve the accuracy of numerical models, and discover new patterns and insights from complex data.
Energy-Efficient HPC: Liquid cooling, power optimization for green computing. Advances in liquid cooling and smart power management are revolutionizing HPC data centers, significantly reducing energy consumption while maintaining performance, supporting both sustainability goals and high computational demands.
Quantum Computing: Exploits the quantum mechanical properties of matter to perform computations that are impossible or intractable for classical computers. Quantum computing can revolutionize HPC by solving problems beyond the reach of current supercomputers, such as cryptography, optimization, machine learning, and quantum simulation. There is a convergence of Quantum systems with classical HPC systems.
Cloud HPC: Enables flexible, scalable access to massive computing power without on-premises infrastructure—accelerating research, AI training, and simulations while reducing costs and improving collaboration across industries.
Domain-Specific Accelerators: Specialized hardware like GPUs, TPUs, and FPGAs are optimizing high-performance computing tasks in genomics, physics, and AI—delivering faster results, greater precision, and improved efficiency in targeted domains.
Data-Centric Architecture: HPC systems are shifting toward data-centric architectures that prioritize high-speed data access and movement, enabling faster insights, real-time analysis, and efficient handling of massive datasets across scientific domains.
Open HPC: Open-source HPC frameworks like OpenHPC are fostering collaboration, innovation, and cost-effective scalability, empowering researchers and institutions to build customized, high-performance computing environments without vendor lock-in.
Edge Computing: Is a distributed computing model that brings computation and data storage closer to the location where it is needed, such as sensors, devices, or users. Edge computing can enhance HPC by reducing data transfer latency, bandwidth, and energy consumption, and enabling real-time analysis and decision-making for time-sensitive and mission-critical applications, such as autonomous vehicles, smart cities, and healthcare.
New Workloads: Supports ML, digital twins, and autonomous systems. High-performance computing now supports emerging workloads, such as digital twins, autonomous systems, and advanced AI, enabling real-time simulations, predictive modeling, and complex decision-making across diverse scientific and industrial applications.

Cabot Partners provides customized strategic advisory services in HPC to:

Enterprises: Help navigate the complexities of the technology landscape, gain a competitive advantage, and optimize their HPC initiatives.
IT Solution Providers: Help build and grow the desired revenue and profitability of their HPC platforms by delivering white papers, market/competitive/quantitative assessments, Total Value of Ownership (TVO) Studies, 3D animation videos, webinars, solution briefs, eBooks, etc.

Here are some examples:

To find out how we can assist you, please contact info@cabotpartners.com