AI Enhanced HPC Market Report 2025 (Global Edition)

Global AI Enhanced HPC Market Report 2025 Market Size Split by Type (Hardware Accelerated, Software Accelerated), by Application (Analytics for Financial Services, Industrial, Visualization and Simula...

AI Enhanced HPC Market Report Description

We have various report editions of AI Enhanced HPC Market, hence please contact our sales team and author directly to obtain/purchase a desired Edition eg, Global Edition, Regional Edition, Country Specific Report Edition, Company Profiles, Forecast Edition, etc. Request for your Free Sample PDF/Online Access.

AI Enhanced HPC Market Insights Video

Competitive Landscape of the AI Enhanced HPC Market

S NVIDIA Corporation

NVIDIA Corporation is the United States based manufacturer of computer graphics processors, chipsets, and related multimedia software. It operates through the two segments including Graphics Processing Unit (GPU), Tegra Processor, and All Other. 

NVIDIA Corporation designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip unit (SoCs) for the mobile computing and automotive market. Nvidia expanded its presence in the gaming industry with its handheld game consoles Shield Portable, Shield Tablet, and Shield Android TV and its cloud gaming service GeForce Now. Its line of GPUs is used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.

Yotta Infrastructure

Yotta's Compute as a Service is an infrastructure as a service (IaaS) that allows businesses and customers to access virtualised machines from Yotta's Uptime Institute certified TIER IV data center. This service further provides a wide selection of instance types, which is optimised to fit different workloads and use cases. Yotta Infrastructure company deals with services. The services segment provides Multi-Tenant Colocation Service and Dedicated Building Colocation. The Multi-Tenant Colocation Service segment provides Colocation Support Services, DC Network & Connectivity, and IT Security.

Recent Developments:

December 5, 2023

Yotta Data and NVIDIA Collaborate to Boost India’s AI and HPC Landscape:

Yotta Data Services and NVIDIA have joined forces to provide advanced GPU computing infrastructure and platforms for the Shakti Cloud platform. This partnership aims to propel the progress of AI solutions in India, making cutting-edge AI capabilities accessible to a wide range of organizations, businesses, researchers, and startups throughout the country.

Top Companies Market Share in AI Enhanced HPC Industry: (In no particular order of Rank)

• Nvidia Corporation
• Intel Corporation
• Advanced Micro Devices Inc (AMD)
• Hewlett Packard Enterprise (HPE)
• Amazon Web Services (AWS)
• Others
• Confidential Data
• Access The Paid Version
• Data Hidden

*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.

Regional analysis of the AI Enhanced HPC?

North America held major market share of 41.26% in 2023 and is estimated to grow with a CAGR of 9.02% during the forecast period. The United States (U.S.) is no longer the unambiguous leader in the vitally important field of high-performance computing (HPC). Japan, the European Union (EU), and China have fielded systems that are on par with its fastest supercomputers. The supply chain for everything from semiconductors to scientific software is globally distributed. Yet our economic future and security depend critically on our ability to innovate faster than our competitors, and the speed of innovation depends increasingly on large scale computational science and engineering and thus HPC. The Department of Energy’s (DOE) Advanced Scientific Computing Research (ASCR) program is well-positioned to make informed, targeted decisions about where the United States should cooperate and where it should compete in the global market for scientific exploration and discovery.

By setting its sights on problems critical to our nation and the world, by establishing productive new collaborations, and by making strategic investments. For more than 30 years, the ASCR program has provided the HPC and networking capabilities and expertise needed to support DOE’s mission to advance the national, economic, and energy security of the United States. The program now faces the challenge of developing and deploying the next generation of HPC systems and technologies, as well as supporting the application of HPC and artificial intelligence (AI) technologies to a wide range of scientific and engineering research problems. Through its research and development efforts, the ASCR program must also advance the state of the art in HPC and accelerate the pace of scientific discovery and technological innovation. The United States has also been a leader in computer science, with DOE’s role focused on those areas related to HPC (e.g., programming, parallel algorithms, and performance optimization techniques) as well as networking and data science (methods and tools for scientific discovery). The proliferation of HPC technology overseas has been followed by development of expertise in CS&E and first-rate applications. As a result, in many aspects of CS&E, the United States now finds itself in a position where it is one of several peers.

The current report Scope analyzes AI Enhanced HPC Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
• Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
• South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)

The above graph is for illustrative purposes only.

North America AI Enhanced HPC Market

North America AI Enhanced HPC market Analysis

North America AI Enhanced HPC market size is $897.68 Million in 2024 and it is forecasted to reach $1,642.63 Million by 2031. AI Enhanced HPC Industry's Compound Annual Growth Rate will be 9.02% from 2024 to 2031.

North America held major market share of 41.26% in 2023 and is estimated to grow with a CAGR of 9.02% during the forecast period. The United States (U.S.) is no longer the unambiguous leader in the vitally important field of high-performance computing (HPC). Japan, the European Union (EU), and China have fielded systems that are on par with its fastest supercomputers. The supply chain for everything from semiconductors to scientific software is globally distributed. Yet our economic future and security depend critically on our ability to innovate faster than our competitors, and the speed of innovation depends increasingly on large scale computational science and engineering and thus HPC. The Department of Energy’s (DOE) Advanced Scientific Computing Research (ASCR) program is well-positioned to make informed, targeted decisions about where the United States should cooperate and where it should compete in the global market for scientific exploration and discovery.

By setting its sights on problems critical to our nation and the world, by establishing productive new collaborations, and by making strategic investments. For more than 30 years, the ASCR program has provided the HPC and networking capabilities and expertise needed to support DOE’s mission to advance the national, economic, and energy security of the United States. The program now faces the challenge of developing and deploying the next generation of HPC systems and technologies, as well as supporting the application of HPC and artificial intelligence (AI) technologies to a wide range of scientific and engineering research problems. Through its research and development efforts, the ASCR program must also advance the state of the art in HPC and accelerate the pace of scientific discovery and technological innovation. The United States has also been a leader in computer science, with DOE’s role focused on those areas related to HPC (e.g., programming, parallel algorithms, and performance optimization techniques) as well as networking and data science (methods and tools for scientific discovery). The proliferation of HPC technology overseas has been followed by development of expertise in CS&E and first-rate applications. As a result, in many aspects of CS&E, the United States now finds itself in a position where it is one of several peers.

Europe AI Enhanced HPC

Europe AI Enhanced HPC market Analysis

Europe AI Enhanced HPC market size is $579.74 Million in 2024 and it is forecasted to reach $1,185.02 Million by 2031.

Europe region accounts for revenue of USD 579.74 Million in 2023 and is estimated to reach USD 1,185.02 Million in 2031, for the AI Enhanced HPC. The emergence of SARS-Cov-2, its rapid spread and resultant pandemic exposed weaknesses in our preparedness to tackle global crises. The impact of the Covid-19 disease on societies worldwide clearly showed the need for coordinated efforts. In many areas, however, those are still insufficient. Accelerated development of IT allows researchers nowadays to considerably speed-up the search of vaccines and medicine by using supercomputing facilities. Europe, USA, Japan and China are the leaders in the development of both HPC hardware and necessary software stack. ASEAN region is lagging in this respect mainly due to insufficient funding stemming from insufficient priority given to the sector, in most of AMS. In Europe, there is a significant and persistent ICT skills gap. Demand for skills in emerging areas such as AI, HPC or CS are particularly acute and the problem is growing as the offer lags behind the market. Most Member States are facing shortages of ICT professionals and technicians, while the current education offer of specialized higher education programmes is limited and not equally available in all Member States. Also considering profiles, at country level disparities appear. Some countries do not present a sufficiently good correspondence between the fields covered by education offer and the areas where industry is active. Over two thirds of the academic offer in HPC in Europe are taught at master level. Specialized programmes have a lower share with respect to the total offer in the domain as compared with AI. At master level, specialized programmes constitute 20% of all masters on HPC, and 15% in bachelors. There are 88 European universities offering a total of 144 specialized masters in HPC; 28 out of the universities, or 32%, offer at least 2 specialized masters in HPC.

Asia Pacific AI Enhanced HPC

Asia Pacific AI Enhanced HPC market Analysis

Asia Pacific AI Enhanced HPC market size is $520.31 Million in 2024 and it is forecasted to reach $1,020.26 Million by 2031. Asia Pacific AI Enhanced HPC Industry's Compound Annual Growth Rate will be 10.10% from 2024 to 2031.

APAC accounts for the market share of 23.68% in 2023 and is estimated to grow with highest CAGR of 10.10% during the forecast period for the AI Enhanced HPC market. The Asia Pacific region is experiencing high growth in the cluster computing market due to the rapid digitization and growing adoption of cloud computing technologies. Countries like India, China, and South Korea are witnessing increased demand for cluster computing solutions in areas such as e-commerce, telecom, and manufacturing. These countries are focusing on building advanced IT infrastructure to support their growing economies, further propelling the cluster computing market. Further, Singapore’s AI strategy has been well-directed and concrete. It provides a wealth of resources for the operationalization of AI principles, supporting industry compliance with the government’s recommended guidelines. As a technologically advanced city-state with a diverse population, Singapore presents the ideal laboratory to implement its Model AI Governance Framework. Singapore can apply the notion of trustworthy AI given its advantages when it comes to establishing a permissive environment to test and control variables that advances practical use cases within the remit of transparency, accountability, and fairness. To foster trustworthy AI deployment within its shores, Singapore has laid the groundwork for data exchange, safe AI testbeds, and sectoral level AI implementation guidelines. Singapore has several Digital Economy Agreements (DEAs) that are currently already in place or being negotiated. A DEA is a treaty that establishes digital trade rules and digital economy collaborations between two or more economies. Some countries have adopted digital solutions by underestimating privacy requirements, and signi?cant results have been obtained in terms of disease control. Moreover, people’s anxiety and worries remain higher in such countries. For instance, in South Korea, credit card data, CCTV data, mobile signals, and random calls were adopted to trace the contacts of infected people. Similarly, China used advanced decision support systems to control the disease. In some countries, mobile apps were employed to ?nd potently suspected patients. Through a detailed synthesis of the literature and analysis of multiple available apps and reports, we provide the statistics of ten countries in terms of higher adoption of AI over a period of almost one and half years.

South America AI Enhanced HPC

South America AI Enhanced HPC market Analysis

South America AI Enhanced HPC market size is $76.86 Million in 2024 and it is forecasted to reach $138.61 Million by 2031.

In Latin America (LATAM), AI is forecast to boost the region’s GDP by over 5% by 2030, with projections likely to rise if governments introduce policies to build talent and expand their digital infrastructure. The developments in AI in Latin America, with a specific focus on Argentina, Brazil, Chile, Colombia and Mexico. Although government policy is growing, the region’s private sector has been leading the way in terms of AI development. Each of the largest sectors of the region has developed its own AI startup darling, producing regional success stories of their own and attracting the attention of international investors and venture capitalists. The proliferation of national AI strategies, expert councils and policy initiatives highlights the importance of AI to the region’s socioeconomic transformation. Argentina, Brazil, Chile, Colombia and Uruguay are the only countries in the region to have released standalone national AI strategies. The first countries to publish their strategies were Argentina, Colombia and Uruguay, followed by Brazil and Chile in 2021. According to one global benchmark which assesses countries’ strategies for AI, Colombia scores more highly than the United States and Germany, while Brazil scores more highly than all the MINT countries (Mexico, Indonesia, Nigeria and Turkey).

The LATAM region’s AI policy ecosystems is characterized by a high degree of policy discontinuity, with policy initiatives frequently being changed or shelved by new administrations, according to our expert interviews. In Argentina, changes in political leadership have resulted in the new administration putting the previously released national AI strategy on hold. In Chile, these risks are smaller and only individual elements of the previous administration’s AI strategy are in danger of being discontinued. Colombia has been able to benefit from policy continuity in the past years. While Brazil, Chile, and Mexico have established themselves as major players in the AI industry in Latin America, our ranking demonstrates the new emerging powers in the region. According to the results, Argentina, Colombia, Uruguay, Costa Rica, and Ecuador are leading as new emerging powers in AI in Latin America. These countries have strong education systems, well-developed infrastructure, and growing financial resources. High-Performance Computing (HPC) systems are crucial for the proper implementation of AI as they can efficiently process large amounts of data during the training of AI algorithms, aiding research, and increasing productivity and development.

Middle East and Africa AI Enhanced HPC

As per Cognitive Market Research's latest published report, the Global AI Enhanced HPC market size is $2,183.06 Million in 2024 and it is forecasted to reach $4,092.77 Million by 2031. AI Enhanced HPC Industry's Compound Annual Growth Rate will be 9.39% from 2024 to 2031.

AI Enhanced HPC Market Analysis

AI Enhanced HPC Market Analysis by Type

• Hardware Accelerated

In 2019, the Hardware Accelerated revenue (USD Million) was USD 1,278.53 Million and it expected to reach at USD 3,585.51 Million in 2031
Hardware-accelerated accounted for a share of 88.96% in 2023 and is expected to grow at a CAGR of 9.18% during the forecast period. Hardware-accelerated AI used in high-power computing solutions utilizes different types of hardware such as GPU, FPGA, and other hardware, that leverages the use of AI-accelerated hardware. The adoption of AI-accelerated hardware optimizes the operations of algorithms and enhances AI performance in high-power computing applications. The support of AI-accelerated hardware to Intel high-power computing applications is designed to accelerate computer science applications and optimize artificial neural networks, machine visualization, and machine learning. The adoption of accelerated computing assists in increasing the efficiency of high-performance applications.

In December 2023, Advance Microdevices Inc. launched AMD Instinct MI300X accelerators designed for generative AI and large language model training and inferencing. The AMD Instinct 
MI300X accelerators are used along with AMD CDNA 3 architecture and “Zen 4” CPUs to offer efficiency in performance or functioning for HPC and AI workloads.

• Software Accelerated

The software-accelerated accounted for a share of 11.04% in 2023 and is expected to grow at a CAGR of 10.99% during the forecast period. The software-accelerated is associated with the utilization of optimized software algorithms, that are integrated on a standard CPU-based system, to enhance the performance of AI. Accelerated computing utilizes different application programming interfaces (API), programming models such as Computed Unified Device Architecture (CUDA), and Open Computing Language), networking, and others to interface with software accelerators.

In October 2023, the Intel Corporation launched the AI PC Acceleration Program, which increase the availability of software enhanced by AI and ML algorithms. The launch of the AI PC acceleration program offers access to the company's deep bench of engineering talent for targeted software optimizations and tuning based on IV needs, core development tools, and software developer kits.

• Hardware Accelerated
• Software Accelerated

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI Enhanced HPC Industry. Request a Free Sample PDF!

AI Enhanced HPC Market Analysis by Application

• Analytics for Financial Services

The analytics for financial services accounted for a share of 15.41% in 2023 and is expected to grow at a CAGR of 9.70% during the forecast period, due to rising investment by the financial organization in AI-enhanced HPC technologies. The AI accelerators and software integrate into HPC for its use in financial analytics services. The rising risk in financial services is increasing the adoption of AI-enhanced HPC for financial services. The adoption of AI-enhanced high-performance computing solutions in financial services organizations assists in preventing fraud, optimizes profits, predicts outcomes, and enhances customer experiences. 

The Intel Corporation deployed AI-based hardware or processors, for risk management, fraud detection, and algorithmic trading in financial institutions. The Intel Corporation offers 4th Generation Intel Xeon Scalable processors, which offer Intel Advanced Matrix Extensions, that accelerate deployment for workloads such as natural language processing, recommendation systems, and image recognition. Additionally, Quantifi utilizes Intel-enabled AI to accelerate the derivative valuation in financial markets, and offer trial-time accurate results for common valuation workloads. The adoption of AI acceleration in HPC leverages capabilities of the financial sector, 

• Industrial

The industrial accounted for a share of 28.96% in 2023 and is expected to grow at a CAGR of 8.78% during the forecast period. due to the rising adoption of HPC-based AI, which upgrades manufacturing efficiencies in several industrial sectors. Manufacturing companies across several industrial sectors utilize HPC systems combined with computer-aided engineering software for performing high-level modeling and simulation. The adoption of cloud-based HPC assists companies in incorporating AI and enhances computing capabilities. The utilization of AI enhances the high-performance computing user base, optimizes the manufacturing process, design process, and optimizes supply-chain to delivery of products. The utilization of high-performance computing with computer-aided engineering software for high-fidelity modeling and simulation is expanding in the automotive, aerospace, healthcare robotics industries, and others. 

For Instance, in January 2022, Lenovo introduced TruScale High Performance Computing as a Service (HPCaaS). Launching new HPC services increases Lenovo’s TruScale portfolio and allows HPC clients access to more supercomputing capabilities.

• Visualization and Simulation

The visualization and simulation accounted for a share of 11.26% in 2023 and are expected to grow at a CAGR of 9.22% during the forecast period. The adoption of the simulation platform enhances the simulation and visualization process in end-use applications.

On November 14, 2022, the NVIDIA Corporation used the NVIDIA Omniverse 3D simulation and collaboration platform which supports the NVIDIA A 100 and H100 system, which expands into HPC. Furthermore, the NVIDIA Corporation uses the NVIDIA Index, a 3D volumetric interactive visualization framework that allows scientists and researchers to visualize and interact with large HPC datasets. This research utilizes scientific visualization across several fields to gather insights from large-scale HPC datasets to visualize protein folding, analyze chemical docking, and others.
The biological and medical accounted for a share of 36.47% in 2023 and is expected to grow at a CAGR of 10.03% during the forecast period, owing to rising spending on AI-enhanced HPC in the healthcare or medical sector. Healthcare spending on AI software is expected to grow by 40% to nearly USD 6.2 billion from USD 4.4 billion. (Source: Omdia Forecasts, Informa Group). The rising spending on AI technology in the healthcare sector boosts the usage of AI-enhanced HPC solutions in the market. The medical industries and genomics use HPC for augmented diagnosis and predictive analytics.
On March 20, 2023, the IBM Corporation introduced IBM Quantum System One, used for healthcare research and biomedical discoveries. IBM Corporation in collaboration with Cleveland Clinic introduced IMB's discovery accelerator partnership, which focuses on advancing biomedical research through the use of HPC, AI, and quantum computing. These advanced computing technologies of IBM discovery accelerator ensure the improvement of quantum-enhanced prediction models for cardiovascular risk and the development of quantum computing pipelines for screening and optimization of drugs targeted to specific proteins.

• Earth Sciences

Earth science accounted for a share of 7.90% in 2023, due to the rising adoption of AI methods for weather prediction, study, and assess climate models, anomaly detection, and onboard decision-making on satellites. The expansion of AI and machine learning is associated with advancement in HPC hardware. The NASA Center for Climate Simulation leverages NVIDIA V100 GPU Cluster, and PRISM GPU Cluster. The Ministry of Earth Sciences utilizes high-performance computing infrastructure, to improve prediction skill of weather, climate, and ocean forecasts at several institutes under the ministry. 
In December, 2023, the India Meteorological Department deployed high-performance computing for weather forecasting. The installation of an advanced high-performance computing system increases efficiency in studying and analyzing the changes in weather patterns and assists the department in tracking accurate results during weather or climate predictions.

• Analytics for Financial Services
• Industrial
• Visualization and Simulation
• Biological and Medical
• Earth Sciences

The above Graph is for representation purposes only. This chart does not depict actual Market share.

AI Enhanced HPC Component Segment Analysis

The solution accounted for a share of 89.15% in 2023 and is expected to grow at a CAGR of 9.51% during the forecast period. The providers of AI-enhanced HPC utilize different solutions. AI-enhanced high-performance computing has transformed solving and data analysis. AI algorithms process a large amount of data and create complex models. The software accelerated, and hardware-accelerated AI solutions are used for high-performance computing in the healthcare sector. The adoption of high-performance computing enables AI-powered medical imaging systems to analyze vast quantities of patient data and assist in diagnosis, predict disease progression, and assist in personalized treatment plans. High-performance computing accelerates the development of self-driving cars. These vehicles analyze real-time sensory data and navigate complex environments with precision and safety. Additionally, the integration of high-power computing and AI optimizes the production process in the manufacturing sector, assists in managing risk, and ensures accurate decision-making in the financial sector. Major companies such as Intel Corporation, NVIDIA, Lenovo, and IBM offer GPU accelerated, FPGA, HPC-based cloud platforms and other solutions in high-performance computing, to leverage the business operation, and optimize the operational capability of business organizations and the industrial sector.

The service accounted for a share of 10.85% in 2023 and is expected to grow at a CAGR of 8.43% during the forecast period. The AI-enhanced high-performance computing consulting services enable businesses to make informed decisions and adopt cutting-edge technologies. The AI-enabled HPC consulting services offer legal authority to organizations to unlock the potential of high-performance computing and artificial intelligence. These AI-enabled HPC services are offered in several sectors such as oil and gas, energy, healthcare, IT, and others. The high-performance computing service offers enterprises the ability to perform accurate computational tasks at a fast rate and offers data analytics, simulation, and access to AI. The high-performance computing services offered to organizations gain accurate data insights, and better decision making.AI enabled HPC service is offered to remove deployment challenges that compute landscape.

In April 2022, Fujitsu Limited launched Fujitsu Computing as a service to accelerate digital transformation and offer advanced computing technologies to customers. These new services include advanced computing resources like Fujitsu quantum-inspired digital annealer technology. Fujitsu computing as service used for several industries such as finance, manufacturing, distribution, logistics, disaster prevention (including earthquake and tsunami prediction), and medical fields such as drug discovery and gene therapy.

• Solutions
• Services

AI Enhanced HPC Computation Type Segment Analysis

• Parallel Computing

Parallel computing accounted for a share of 58.74% in 2023 in the global AI-enhanced high-performance computing market. Parallel computing is a process in which several processors simultaneously execute multiple, small calculations broken down from an overall large complex problem into small ones. Parallel computing in high-performance computing utilizes millions of processors to achieve enhanced performance. Parallel computing uses multiple computers to attack several operations. Parallel computing is used for simulation and modeling. The adoption of parallel computing is increasing due to rising efficiency for code execution, saving time, and solving complex problems. The benefits of parallel computing include:
•    Parallel computing models the real-world
•    Saves time
•    Cost-effective
•    Solves complex data
•    Leverages remote resources
Intel Corporation uses parallel computing in laptops, desktops, and smartphones. The Intel Core i5 and Core i7 chips in the HP Spectre Folio and HP EliteBook x360 each have 4 processing cores. The HP Z8 the world’s most powerful workstation packs 56 cores of computer power that lets it perform real-time video editing in 8K video or run complex 3D simulations.

• Distributed Computing

Distributed computing accounted for a share of 23.45% in 2023 in the global AI-enhanced high-performance computing market. Distributed computing is a method that involves the use of multiple computers to work together to solve common problems. The advantages offered by distributing computing include:

•    Scalability
•    Availability
•    Consistency
•    Transparency
•    Efficiency

Healthcare or medical manufacturers use distributed computing for modeling and simulating complex life science data. Distributing computing enhances image analysis, medical drug research, and gene structure analysis. Additionally, financial companies use distributed computing solutions for performing high-speed economic simulations that access portfolio risks, predict market movements, and support financial decision-making

• Exascale computing

Exascale computing accounted for a share of 17.81% in 2023 in the global AI-enhanced high-performance computing market. Exascale computing is faster and performs more than 1,000,000,000,000,000,000 FLOPS or 1 exaFLOP. Exascale computing is a new level of supercomputers to support the workloads of converged modeling, simulation, AI, and analytics. Exascale computing utilized by Intel Corporation assists scientists, engineers, and researchers in solving complex computation solutions across biochemistry, engineering, energy, healthcare, and other sectors. Intel Corporation utilizes Aurora exascale computing to transform and advance clean fusion research for the generation of electricity. The aurora exascale capabilities and computing enable researchers to perform high-fidelity simulations for better quantitative descriptions.

• Parallel Computing
• Distributed Computing
• Exascale computing

AI Enhanced HPC Deployment Segment Analysis

• Cloud

The cloud accounted for a share of 39.65% in 2023 and is expected to grow at a CAGR of 10.23% during the forecast period. The deployment of AI-enhanced high-performance computing on a cloud platform assists companies in upgrading their computing capabilities, as AI workloads are deployed in the cloud platform. The high-performance computing built on a cloud platform allows companies to innovate by incorporating AI-enhanced HPC operations.

In November, 2022. Penguin Solutions launched Scyld Cloud central control plane, a new cloud-native HPC/AI offering. The company has engaged in partnership with Google Cloud to offer a cloud-based HPC/AI cluster, that simplifies the cluster deployment, streamlined the user experience, and offers robust cost management options.

• On-Premises

The on-premises accounted for a share of 60.35% in 2023 and is expected to grow at a CAGR of 8.82% during the forecast period. On-premise high-performance computing solution performs complex computational tasks by running or deploying advanced applications and large data sets with advanced network management tools in compact servers or clusters. In the on-premise deployment of AI-enabled HPC, large-scale and medium-scale business organizations and research institution builds an HPC cluster full of servers, storage solutions, and other infrastructure, that were managed and upgraded over time. The Hewlett Packard Enterprise Development LPE utilizes a hybrid deployment platform, it uses on-premise, and as well as cloud solutions for deployment for AI-enhanced HPC.

On June 2020, Dell Technologies Inc. launched two servers for high-performance computing and AI. The two servers include GPU as a service server and Dell EMC ready solution. These servers are 
used for the deployment of high-performance computing solutions along with the VM Ware cloud foundation hybrid platform.

• Cloud
• On-Premises

AI Enhanced HPC Organisation Size Segment Analysis

• Small and Medium-Sized Enterprises (MSME

Small and medium-sized enterprises (MSME) accounted for a share of 29.87% in 2023 and is expected to grow at a CAGR of 10.14% during the forecast period. High-performance computing solves complex computations and offers potential for small and medium-sized enterprises to engage in product innovation, service improvement, and optimization of resource allocation. The small and medium-scale enterprises use AI-enhanced HPC as these enterprises need support, and expertise training, for using commercial and open-source software for simulation, modelling, and visualization on larger servers such as the HPC cloud. The utilization of the HPC cloud in SMEs reduces costs, and time for the development and validation of new products and production lines. The adoption of AI-based computing enhances efficiency in the management of a large amount of data on large servers like the HPC cloud to better manage production lines, machines, raw materials, logistics, and customer relationship management.

• Large Enterprises

The large-scale enterprises accounted for a share of 70.13% in 2023 and are expected to grow at a CAGR of 9.06% during the forecast period. The large-scale enterprises are leveraging high-performance computing architecture to customize the business process and its execution in less time. Large-scale enterprise in the manufacturing industries uses AI-enhanced HPC for optimizing the supply-chain performance, assist in designing demand forecast models, and utilize deep learning techniques to enhance product development. Large-scale enterprises in semiconductor and other IT industries use IBM Cloud HPC for these enterprises to effectively manage operations.

• Small and Medium-Sized Enterprises (MSME)
• Large Enterprises

Author's Detail

Swasti Dharmadhikari

Research associate at Cognitive Market Research

LinkedIn

Profile

Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.

Author's Conclusion