Artificial Intelligence
Global High Performance Computing (HPC) Market Forecast, 2020-2025: Companies, Solutions, Use Cases, Applications
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Dublin, Jan. 08, 2020 (GLOBE NEWSWIRE) — The “High Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Types, Industry Verticals, and Regions 2020-2025” report has been added to ResearchAndMarkets.com’s offering.
This report evaluates the HPC market including companies, solutions, use cases, and applications. Analysis includes HPC by organizational size, software and system type, server type, and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC. It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical.
High Performance Computing (HPC) may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation such as certain financial services, simulations, and various R&D initiatives.
The market is currently dominated on the demand side by large corporations, universities, and government institutions by way of capabilities that are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc.
However, the cloud-computing based as a Service model allows HPC market offerings to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS. In fact, HPCaaS is poised to become much more commonly available, partially due to new on-demand supercomputer service offerings, and in part as a result of emerging AI-based tools for engineers. Accordingly, up to 45% of revenue will be directly attributable to the cloud-based business model via HPCaaS, which makes High-Performance Computing solutions available to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems.
In a recent study, we conducted interviews with major players in the market as well as smaller, lesser known companies that are believed to be influential in terms of innovative solutions that are likely to drive adoption and usage of both cluster-based HPC and supercomputing.
In an effort to identify growth opportunities for the HPC market, we investigated market gaps including unserved and underserved markets and submarkets. The research and advisory firm uncovered a market situation in which HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps.
Stated differently, the market for HPC as a Service (e.g. access to high-performance computing services) currently suffers from problems related to the utilization, scheduling, and set-up time to run jobs on a supercomputer. We identified start-ups and small companies working to solve these problems.
One of the challenge areas identified is low utilization but (ironically) also high wait times for most supercomputers. Scheduling can be a challenge in terms of workload time estimation. About 20% of jobs are computationally heavy 30% of jobs cannot be defined very well in terms of how long jobs will take (within 3-minute window at best). In many instances, users request substantive resources and don’t actually use computing time. In addition to the scheduling challenge, we also identified a company focused on solving additional problems such as computational planning and engineering. We spoke with the principal of a little-known company called Microsurgeonbot, Inc. (doing business as MSB.ai), which is developing a tool for setting up computing jobs for supercomputers.
The company is working to solve major obstacles in accessibility and usability for HPC resources. The company focuses on solving a very important problem in HPC: Supercomputer job set-up and skills gap. Their solution known as “Guru” is poised to make supercomputing much more accessible, especially to engineers in small to medium-sized businesses that do not have the same resources or expertise as large corporate entities.
Key Topics Covered
1 Executive Summary 2 Introduction 3 High Performance Computing Market Analysis and Forecast 2020-2025 4 High Performance Computing Company Analysis 5 Conclusions and Recommendations 6 Appendix: Future of Computing For more information about this report visit https://www.researchandmarkets.com/r/gbisz5 Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
1.1 Companies in Report
1.2 Target Audience
1.3 Methodology
2.1 Next Generation Computing
2.2 High Performance Computing
2.2.1 HPC Technology
2.2.1.1 Supercomputers
2.2.1.2 Computer Clustering
2.2.2 Exascale Computation
2.2.2.1 United States
2.2.2.2 China
2.2.2.3 Europe
2.2.2.4 Japan
2.2.2.5 India
2.2.2.6 Taiwan
2.2.3 High Performance Technical Computing
2.2.4 Market Segmentation Considerations
2.2.4.1 Government, NGOs, and Universities
2.2.4.2 Small Companies and Middle Market
2.2.5 Use Cases and Application Areas
2.2.5.1 Computer Aided Engineering
2.2.5.2 Government
2.2.5.3 Financial Services
2.2.5.4 Education and Research
2.2.5.5 Manufacturing
2.2.5.6 Media and Entertainment
2.2.5.7 Electronic Design Automation
2.2.5.8 Bio-Sciences and Healthcare
2.2.5.9 Energy Management and Utilities
2.2.5.10 Earth Science
2.2.6 Regulatory Framework
2.2.7 Value Chain Analysis
2.2.8 AI to Drive HPC Performance and Adoption
3.1 Global High Performance Computing Market 2020-2025
3.1.1 Total High Performance Computing Market 2020-2025
3.1.2 High Performance Computing Market by Component 2020-2025
3.1.2.1 High Performance Computing Market by Hardware and Infrastructure Type 2020-2025
3.1.2.1.1 High Performance Computing Market by Server Type 2020-2025
3.1.2.2 High Performance Computing Market by Software and System Type 2020-2025
3.1.2.3 High Performance Computing Market by Professional Service Type 2020-2025
3.1.3 High Performance Computing Market by Deployment Type 2020-2025
3.1.4 High Performance Computing Market by Organization Size 2020-2025
3.1.5 High Performance Computing Market by Server Price Band 2020-2025
3.1.6 High Performance Computing Market by Application Type 2020-2025
3.1.6.1 High Performance Technical Computing Market by Industry Vertical 2020-2025
3.1.6.2 Critical High Performance Business Computing Market by Industry Vertical 2020-2025
3.1.1 High Performance Computing Deployment Options: Supercomputer vs. Clustering 2020-2025
3.1.2 High Performance Computing as a Service (HPCaaS) 2020-2025
3.1.3 AI Powered High Performance Computing Market
3.1.3.1 AI Powered High Performance Computing Market by Component
3.1.3.2 AI Powered High Performance Computing Market by AI Technology
3.2 Regional High Performance Computing Market 2020-2025
3.3 Exascale Computing Market 2020-2025
3.3.1 Exascale Computing Driven HPC Market by Component 2020-2025
3.3.2 Exascale Computing Driven HPC Market by Hardware Type 2020-2025
3.3.3 Exascale Computing Driven HPC Market by Service Type 2020-2025
3.3.4 Exascale Computing Driven HPC Market by Industry Vertical 2020-2025
3.3.1 Exascale Computing as a Service 2020-2025
4.1 HPC Vendor Ecosystem
4.2 Leading HPC Companies
4.2.1 Amazon Web Services Inc.
4.2.2 Atos SE
4.2.3 Adavnced Micro Devices Inc.
4.2.4 Cisco Systems
4.2.5 DELL Technologies Inc.
4.2.6 Fujitsu Ltd.
4.2.7 Hewlett Packard Enterprise (HPE)
4.2.8 IBM Corporation
4.2.9 Intel Corporation
4.2.10 Microsoft Corporation
4.2.11 NEC Corporation
4.2.12 NVIDIA
4.2.13 Rackspace Inc.
4.1 Companies to Watch
4.1.1 Braket Inc.
4.1.1 MicroSurgeonBot Inc. (MSB.ai)
5.1 AI to Support Adoption and Usage of HPC
5.2 5G and 6G to Drive Increased Demand for HPC
6.1 Quantum Computing
6.1.1 Quantum Computing Technology
6.1.2 Quantum Computing Considerations
6.1.3 Market Challenges and Opportunities
6.1.4 Recent Developments
6.1.5 Quantum Computing Value Chain
6.1.6 Quantum Computing Applications
6.1.7 Competitive Landscape
6.1.8 Government Investment in Quantum Computing
6.1.9 Quantum Computing Stakeholders by Country
6.1 Other Future Computing Technologies
6.1.1 Swarm Computing
6.1.2 Neuromorphic Computing
6.1.3 Biocomputing
6.2 Market Drivers for Future Computing Technologies
6.2.1 Efficient Computation and High Speed Storage
6.2.2 Government and Private Initiatives
6.2.3 Flexible Computing
6.2.4 AI-enabled, High Performance Embedded Devices, Chipsets, and ICs
6.2.5 Cost Effective Computing powered by Pay-as-you-go Model
6.3 Future Computing Market Challenges
6.3.1 Data Security Concerns in Virtualized and Distributed Cloud
6.3.2 Funding Constrains R&D Activities
6.3.3 Lack of Skilled Professionals across the Sector
6.3.4 Absence of Uniformity among NGC Branches including Data Format
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Artificial Intelligence
Lucinity’s AI Innovation Recognized at Microsoft’s Prestigious Global Partner Awards 2024
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REYKJAVIK, Iceland, June 28, 2024 /PRNewswire/ — Lucinity has been recognized as a finalist in the AI Innovation category at the prestigious Microsoft Global Partner Awards 2024, recognizing its breakthrough AI solution and contribution to financial security through its collaboration with Microsoft.
Lucinity beat more than 4,700 companies to be named a finalist at the annual Microsoft Global Partner Awards, which highlights Lucinity’s achievements as a Microsoft partner in optimizing business processes, improving customer experiences, and opening new pathways for digital transformation.
This achievement comes in addition to winning two prestigious awards at Microsoft Partner Awards 2024 last month, including Partner of the Year – Iceland, and the Sustainability and Social Impact award.
The accolade recognizes Lucinity’s significant advancements in AI for financial crime operations, particularly through their AI-powered copilot, Luci. This innovative solution utilizes Microsoft Azure OpenAI technology to integrate advanced generative AI into financial crime investigations and regulatory compliance, optimizing processes and saving significant time and resources for financial institutions.
The Lucinity platform streamlines compliance, provides instant insights, and reduces typical investigation times from three hours to just 30 minutes. The technology can also save financial institutions an estimated $100 million in productivity savings, as well as savings in training and recruitment.
Microsoft comments on Lucinity’s award recognition, saying “Financial crime profoundly impacts our global community, with far-reaching economic, security, and social implications. It can harm a country’s reputation and increase exposure to criminal activities, emphasizing the critical need for robust anti-money laundering initiatives and persistent vigilance. Lucinity, with their innovative AI solutions, has really tried to combat this huge global challenge. They use ‘Human AI’ to enhance financial crime prevention, combining AI with human expertise for efficient, user-friendly solutions. Additionally, Lucinity has developed a tool called Luci, an AI-powered copilot that helps transform financial crime prevention from a process that took hours to one that takes minutes.”
“Being recognized as a finalist at the Microsoft Global Partner Awards is validation of our impactful collaboration with Microsoft in financial crime operations. Our partnership has been pivotal for our innovations, enabling us to use Azure OpenAI to bring tools like Luci to life and deliver impactful results for our clients,” says Guðmundur Kristjánsson, Founder & CEO of Lucinity.
Contact:Name: Celina PabloEmail: [email protected]: +354 792 4321
Logo: https://mma.prnewswire.com/media/2208676/4669079/Lucinity_Logo.jpg
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Artificial Intelligence
Asia Pacific View: Foreigners Looking for the Most Practical Smart Technology at the 2024 World Intelligence Expo
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BEIJING, June 28, 2024 /PRNewswire/ — Bionic robots that speak both Chinese and English can have the same skin and nails as humans? A flying car powered solely by wind can have a maximum payload of 160 kg? A smart wheelchair can control its operation with just the “mind”? Kevin and Daria, two foreign bloggers, have experienced during the World Intelligence Expo held in Tianjin how the artificial intelligence can empower people’s future lives in industries such as technology, trade, logistics and cultural tourism.
With the theme of “Intelligent Travel Empowering Future”, the Expo integrates exhibitions, experiences and events, attracting more than 550 exhibitors and institutions from all over the world, including more than 70 well-known enterprises such as Huawei, Alibaba, Baidu and Danfoss, and 57 universities and research institutions such as Peking University, Tsinghua University, Nankai University and Tianjin University. The Expo set up 10 major themes such as artificial intelligence, intelligent networked vehicles, intelligent manufacturing and robots, covering the frontier hot spots of the intelligent industry. A number of cutting-edge new technologies, new products, and new experiences from all over the world were showcased centrally, reminding people that technology will completely change the lifestyles in the future.
At the exhibition site, various intelligent robot products such as humanoid robots, bionic robots, and intelligent robot dogs interact with the audience on the spot. They are no longer fantasies in science fiction or movies, but play an important role in monitoring, rescue, cultural tourism and other fields. In the low-altitude economic exhibition area, a number of drones, flying vehicles, and aerospace technology companies collectively display advanced technology products. A low-altitude aircraft shaped like a helicopter brought by the German company Tensor can independently complete cargo transportation, takeoff and landing according to pre-set routes according to the instructions. Robotic arms incorporating technologies such as 5G, IoT, edge computing, rocker robotics, and artificial intelligence can shoot high-frame-rate video and support autofocus, achieving effects that cannot be achieved in traditional shooting modes. Viewers can also have more novel experiences with the help of smart technology.
The Expo also hosted three major events such as the Asia-Pacific Robotics World Cup Tianjin International Invitational, the World Intelligent Driving Challenge, and the International Intelligent Sports Conference. A number of technological achievements and innovative applications were demonstrated in the competitions. For exhibiting companies, this Expo is also an opportunity to further promote the transformation of enterprises to information technology and digitalization, and will also bring huge business opportunities.
Contact: Guo RanPhone: 008610-68332663Email: [email protected]
Video: https://www.youtube.com/watch?v=VjjzurfN_r0 Logo: https://mma.prnewswire.com/media/2451195/logo_Asia_Pacific_View_Logo.jpg
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Artificial Intelligence
Tech Companies Leading the Charge in the Transformative AI Era
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USA News Group Commentary
Issued on behalf of Avant Technologies Inc.
VANCOUVER, BC, June 28, 2024 /PRNewswire/ — USA News Group – The world is changing rapidly thanks to artificial intelligence (AI), with what’s being called the Transformative AI era which comes with great benefits and also potential dangers. The economic impacts are global, with a new report from The Bank for International Settlements (BIS) urging central banks to adapt rapidly to AI advances. Now it’s become apparent how important it is for companies to understand how to harness the full potential of GenAI to secure strategic revenue growth in the coming years. The surge of AI’s usefulness is accelerating innovation in R&D, while behind the scenes tech companies are advancing the infrastructure required to keep this revolution going, including new developments from Avant Technologies Inc. (OTCQB: AVAI), Accenture plc (NYSE: ACN), Cloudflare, Inc. (NYSE: NET), Alphabet Inc. (NASDAQ: GOOG, GOOGL), and Amazon.com, Inc. (NASDAQ: AMZN).
Known for pioneering advancements in AI, Avant Technologies Inc. (OTCQB: AVAI) has persistently refined and expanded its premier offering, Avant AI™. This sophisticated AI platform, celebrated for its machine learning and deep learning capabilities, is the culmination of Avant’s efforts to deliver unprecedented and cost-effective compute infrastructure that unlocks the full potential of AI and ushers in a new era of technological advancement.
“There is a real unmet need as rapid growth across the entirety of the AI and big data industries is outpacing the necessary infrastructure for an industry that demands exponential power and capacity while remaining cost effective,” said Avant’s CEO William Hisey in a recent address of progress on AI supercomputer-driven data centers. “Avant’s ‘edge-native’ approach doesn’t rely on cloud-based services so we can offer AI and big data companies many advantages over the more familiar ‘cloud-native’ approach, including, reduced latency, improved security and privacy, increased scalability, and reduced costs.”
In a recent strategic development, Avant entered into a Binding Letter of Intent (BLOI) with Flow Wave, LLC (FW), a prominent Florida-based firm specializing in immersible computer server technology. This agreement allows Avant to acquire up to 50 cutting-edge immersible computer servers from FW, in a transaction valued at $50 million.
“By integrating proprietary machine learning algorithms with open-source innovations into these servers, Avant is developing a highly intelligent system designed to optimize resource allocation, enhance performance, and drive unprecedented levels of efficiency and automation,” said Hisey. “This marks the beginning of a new era for Avant Technologies, positioning us at the forefront of the supercomputer-driven data center industry and setting new standards for managing and storing AI applications.”
Flow Wave Immersible AI Supercomputer Servers are engineered for demanding AI and machine learning applications, delivering powerful processing capabilities that accelerate data analysis. Their cutting-edge cooling system is both energy-efficient and cost-effective, reducing environmental impact. These servers’ compact design facilitates easy installation in space-constrained data centers, and their robust construction ensures longevity and lower maintenance requirements.
In response to digital era challenges, Avant intends to acquire up to 50 of these high-performance servers. Their superior cooling technology boosts performance while conserving energy, aligning with Avant’s goal of providing top-tier AI infrastructure and maximizing efficiency. Additional details about the acquisition will be shared once the final agreement is secured.
In Q3 2024, Accenture plc (NYSE: ACN) brought in over $900 million in new Generative AI bookings, for a total of $2 billion fiscal year-to-date. Despite missing its overall earnings targets, the market responded by sending its shares upward.
“We achieved strong new bookings of over $21 billion, up 22% over last year, and continued to accelerate our strategy to be the reinvention partner of choice, with another 23 clients with quarterly bookings of over $100 million, bringing the total of such bookings to 92 year-to-date,” said Julie Sweet, Chair and CEO of Accenture. “We also achieved two significant milestones this quarter — with $2 billion in Generative AI sales year-to-date and $500 million in revenue year-to-date — which demonstrate our early lead in this critical technology.”
Back in May, Accenture took steps to help its clients to scale their Generative AI responsibly.
“Clients are eager to embrace the potential of generative AI, and we are ready to help them build responsible AI into every use,” said Sweet. “We do this for ourselves, and we can use that example to help our clients find success faster. Our focus is to enable our clients to innovate AI safely and be ready to seize the opportunities that AI will bring in the decades ahead.”
Recently, the cloud-based security solution provider Cloudflare, Inc. (NYSE: NET) unveiled the general availability of its AI Gateway platform. Marketed as a comprehensive interface for managing and scaling generative AI workloads, the platform has transitioned from its beta phase, which started in September 2023, to full client use after successfully handling over 500 million requests.
This launch coincides with Cloudflare’s announcement of a partnership with Hugging Face, a leading platform for AI developers. The collaboration offers a one-click global deployment for AI applications via the Workers AI platform, now also generally available. As the first serverless inference partner integrated on the Hugging Face Hub, this allows developers to deploy AI models quickly, easily, and cost-effectively on a global scale, without the need for managing infrastructure or paying for unused compute capacity.
“Workers AI is one of the most affordable and accessible solutions to run inference,” said Matthew Prince, CEO and co-founder, Cloudflare. “With Hugging Face and Cloudflare both deeply aligned in our efforts to democratize AI in a simple, affordable way, we’re giving developers the freedom and agility to choose a model and scale their AI apps from zero to global in an instant.”
In the education space, Alphabet Inc. (NASDAQ: GOOG, GOOGL) through Google, is bringing new AI tools to Google Workspace for teen students using their school accounts to help them learn responsibly and confidently in an AI-first future, and empowering educators with new tools to help create great learning experiences.
“In the coming months, we’re making Gemini available to teen students that meet our minimum age requirements while using their Google Workspace for Education accounts in English in over 100 countries around the world, free of charge for all education institutions,” said Google in a blog post. “To ensure schools are always in control, Gemini will be off by default for teens until admins choose to turn it on as an Additional Service in the Admin console.”
Google has also developed a number of resources and trainings to help students, parents and educators use generative AI tools responsibly and effectively, including a video on how teens can responsibly use AI while learning.
After recently hitting a $2-trillion valuation, Amazon.com, Inc. (NASDAQ: AMZN) continues to be a big player in the AI space. Now it’s reportedly working on its own AI chatbot that some say might be smarter than ChatGPT, named Metis, which will generate answers by grabbing info from the internet.
Metis is driven by an internal Amazon AI model known as Olympus, drawing inspiration from Greek mythology. According to sources, Olympus is a more advanced version of Amazon’s publicly available Titan model.
Amazon’s CEO Andy Jassy has noted that nearly every division within the company is engaged in some form of AI project. As a pioneer in cloud computing, Amazon has been developing machine learning, a subset of AI, for many years. Jassy recently announced that Amazon’s AI initiatives are projected to generate over $1 billion in annual revenue, with expectations of driving “tens of billions of dollars” in sales in the coming years.
However, Amazon has lagged in the realm of consumer AI assistants. An internal document from last year highlighted that Amazon “does not have a publicly or internally available product that looks and works exactly like ChatGPT.”
According to a source reported by Business Insider, the tentative launch date for Metis is September, right around the time when Amazon is set to host a big Alexa event, although the timeline could still change.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
CONTACT:
USA NEWS [email protected](604) 265-2873
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