Artificial Intelligence
Global AI Training Dataset Market By Type, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027
New York, Oct. 26, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global AI Training Dataset Market By Type, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027” – https://www.reportlinker.com/p06177753/?utm_source=GNW
AI has gained a vital place in several industrial applications like IT, retail & e-commerce, healthcare, BFSI, and manufacturing. In addition, the rising demand for application-specific training data is offering lucrative opportunities for the new players. Artificial Intelligence has become important to big data because it enables to obtain the complex and high-level abstractions utilizing a hierarchical learning process and helps in obtaining meaningful patterns from large volume data through extraction and mining processes.
AI allows machines to perform tasks like a human by learning from experience and adjusting to the new inputs. Artificial Intelligence trains machines to process a huge volume of data and control patterns to complete the task given to them. Specific datasets are needed for the training of these machines. Thus, there is a huge demand for AI training datasets to fulfill this need in the market.
These machines perform tasks according to the dataset provided to them. Hence, it is necessary to offer superior-quality datasets to machines for better training. The superior-quality dataset helps in improving the performance level of artificial intelligence, resulting in decreasing the time taken to prepare data, and also helps in improving predictions precision. Therefore, the market players across the globe are aiming to acquire companies, which assist in improving the data quality.
COVID-19 Impact Analysis
The outbreak of the COVID-19 pandemic has encouraged developments in applications and technologies that are used in various sectors. Also, the pandemic has increased the adoption rate of AI in sectors like healthcare. The crisis has created a situation where all industries are facing challenges in running their business. To respond to this situation, AI-based tools and solutions have found their great deployment in all sectors. The key players in the market are focusing on shifting their business towards digitalization, due to which, there is a huge demand for AI solutions in the market.
Hence, these factors are accountable to have a positive effect on the AI training dataset market during the COVID-19 pandemic. In addition, to facilitate smooth operations of businesses during the pandemic, businessmen were compelled to deploy advanced analytics and other AI-based technologies. Moreover, businesses have become dependent on advanced technologies, which are anticipated to surge the growth of the market in the coming years. Further, several industries like healthcare, IT & automotive, and e-commerce are projected to fuel the deployment rate of the AI training dataset. Therefore, it can be estimated that the growth of the AI training dataset market will accelerate during the forecast period.
Market Growth Factors:
Several enhancements in the field of AI training dataset
A training dataset is a collection of information that is used to develop a machine learning model, through which the model creates and refines its rules. The quality of the training dataset has intense implications for the model’s successive development, setting an ideal example for all future applications that may utilize the same training dataset.
Generation of large volume data and improvements in technology
The huge volume of data produced from several technologies like machine learning, big data, and artificial intelligence has increased the demand for AI training datasets. A large volume of unstructured and irrelevant data is produced by these technologies, thus, it is essential to train a machine learning model through precise and appropriate data.
Market Restraining Factor:
Lack of expertise
AI is a complicated system and for its adoption and management, companies need a workforce with special skill sets. For example, a workforce that is operating AI systems should have working experience with technologies like machine learning, machine intelligence, deep learning, image recognition, and cognitive computing. The incorporation of AI solutions with the present systems is a complex task that needs large data processing to replicate the human brain behavior.
Type Outlook
Based on Type, the market is segmented into Image/Video, Text and Audio. The image or video type segment is anticipated to witness the highest growth rate over the forecast years. This surge in the growth of this segment is due to the increasing interest of key players of the markets towards the introduction of the latest datasets along associated with the growing number of applications.
End User Outlook
Based on End User, the market is segmented into IT & Telecom, Retail & E-commerce, Government, Healthcare, Automotive, and Others. Several technology companies across the market are utilizing machine learning solutions to offer a better user experience and introduce modern products. To be efficient, machine learning technology needs superior-quality training data to ensure that ML algorithms are continuously enhanced. Additionally, superior-quality datasets assist IT companies to improve several solutions like data analytics, computer vision, virtual assistants, crowdsourcing, and many others. These aspects are propelling the demand for great use of training datasets across the sector.
Regional Outlook
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. There is a rapid surge in the deployment rate of the latest technologies by companies in emerging nations like India to bring improvement to their businesses. In addition, several key players are concentrating on increasing their existence in the Asia Pacific region. These determinants are projected to augment the utilization of dataset across the region and thus, are accounted to bolster the growth of the market during the forecast period.
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Google, Inc. and Microsoft Corporation are the forerunners in the AI Training Dataset Market. Companies such as Amazon Web Services, Inc., Telus International, Scale AI Inc. are some of the key innovators in the market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google, LLC (Kaggle), Appen Limited, Cogito Tech LLC, Telus International (Telus Corporation), Amazon Web Services, Inc., Microsoft Corporation, Scale AI Inc., Sama Inc., Alegion, and Kinetic Vision, Inc. (Deep Vision Data).
Recent Strategies Deployed in AI Training Dataset Market
Partnerships, Collaborations and Agreements:
Jul-2021: Amazon came into a partnership with Hugging Face, an open-source provider of natural language processing (NLP) technologies. This partnership aimed to make it easier for enterprises to use State of Art Machine Learning models, and ship cutting-edge NLP features quicker. Following this partnership, Hugging Face would use Amazon Web Services as its Preferred Cloud Provider to provide services to its users.
Jun-2021: Scale AI formed a partnership with MIT Media Lab, a research laboratory at the Massachusetts Institute of Technology. This partnership aimed to implement ML in healthcare to help doctors in offering better care for patients.
May-2021: Microsoft came into partnership with Darktrace, a leading autonomous cyber security AI company. This partnership aimed to deliver unparalleled defense against sophisticated attacks, as companies are continuously shifting to the cloud.
Feb-2021: TELUS International extended its partnership with Google Cloud. Through this expansion, TELUS International would deliver deployment services for Google Cloud’s Contact Center AI solution, enabling companies to modernize contact centers and deliver unique digital CX to end customers.
Aug-2020: Appen partnered with the World Economic Forum. Together, the entities aimed to develop and introduce standards and best practices for responsible training data whenever developing machine learning and AI applications. In addition, Appen would help in providing C-level decision-makers with main strategies for making and scaling AI programs by sourcing training data responsibly
Jul-2020: Microsoft entered into a partnership with SAS, an American multinational developer of analytics software. This partnership aimed to migrate SAS’ analytical products and industry solutions onto Microsoft Azure. SAS’ industry solutions and expertise would also add value to Microsoft’s customers across financial services, health care, and many other industries.
Jun-2020: Microsoft came into a five-year partnership with PepsiCo, a leading global food and beverage company. This partnership aimed to support PepsiCo’s operational objectives and aggressive innovation plans by using agile cloud capabilities along with offering Microsoft the opportunity to expand its partnership with a leading provider of consumer-packaged goods.
Acquisitions and Mergers
Aug-2021: Appen Limited entered into an agreement to acquire Quadrant, a global leader in mobile location data, Point-of-Interest data, and corresponding compliance services. This acquisition aimed to strengthen Appen’s position in the market and also enable the company to provide high-quality data to companies that depend on geolocation for their business.
Jul-2021: TELUS International took over Lionbridge AI, a leading and global provider of scalable data annotation services for text, images, videos, and audio. This acquisition aimed to expand TELUS International’s global service offerings and penetration into the fast-growing economy services market under their digital transformation strategy.
Jul-2021: Microsoft completed the acquisition of Nuance Communications, a speech recognition, and artificial intelligence company. This acquisition aimed to provide Microsoft with improved speech recognition and artificial intelligence technology and strengthen its presence in the healthcare sector.
Mar-2021: TELUS International took over Playment, a complete data labeling platform. Through this acquisition, Playment would enhance TELUS’ deep domain expertise and uniquely position it to support customers in developing AI-powered solutions across verticals.
Product Launches and Expansions:
May-2021: Google Cloud unveiled Vertex AI, a managed machine learning platform. This platform would enable organizations to boost the deployment and management of AI models.
May-2021: Cogito expanded its capabilities in Pathology, Ophthalmology & Cardiology. The adoption of AI in healthcare requires expertise for accurately annotated data in healthcare.
Feb-2021: Appen Limited launched the latest off-the-shelf (OTS) datasets. These datasets are developed to make it simpler and quicker for companies to get the high-quality training data required to boost their artificial intelligence (AI) and machine learning (ML) projects.
Dec-2020: Amazon Web Services (AWS) introduced nine key updates for its cloud-based machine learning platform, SageMaker. These updates make it easier for developers to make end-to-end machine learning pipelines to create, build, explain, train, inspect, debug, monitor, and run custom machine learning models with more explainability, visibility, and automation at scale.
Oct-2020: Microsoft unveiled the public preview of a free app, Lobe. This app enables customers to train machine learning (ML) models without writing any code. The app demands to be shown examples of the way users want to learn, and the app automatically trains a custom machine learning model, which can be shipped in the users’ app.
Aug-2020: Scale AI unveiled PandaSet: a new open-source dataset for training machine learning (ML) models for autonomous driving.
May-2020: Alegion introduced its next-generation video annotation solution. Alegion’s video annotation solution is aimed at data science teams, which are developing object tracking algorithms that recognize and track individual objects of interest over time.
Scope of the Study
Market Segments covered in the Report:
By Application
• Image/Video
• Text
• Audio
By End User
• IT & Telecom
• Retail & E-commerce
• Government
• Healthcare
• Automotive
• Others
By Geography
• North America
o US
o Canada
o Mexico
o Rest of North America
• Europe
o Germany
o UK
o France
o Russia
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Singapore
o Malaysia
o Rest of Asia Pacific
• LAMEA
o Brazil
o Argentina
o UAE
o Saudi Arabia
o South Africa
o Nigeria
o Rest of LAMEA
Companies Profiled
• Google, LLC (Kaggle)
• Appen Limited
• Cogito Tech LLC
• Telus International (Telus Corporation)
• Amazon Web Services, Inc.
• Microsoft Corporation
• Scale AI Inc.
• Sama Inc.
• Alegion
• Kinetic Vision, Inc. (Deep Vision Data)
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Artificial Intelligence
UK Data Center Market to Reach Investment of $10.13 Billion by 2029, Get Insights on 200 Existing Data Centers and 40 Upcoming Facilities across the UK – Arizton
CHICAGO, April 16, 2024 /PRNewswire/ — According to Arizton’s latest research report, the UK data center market is growing at a CAGR of 2.37% during 2023-2029.
To Know More, Download the Free Sample Report: https://www.arizton.com/market-reports/uk-data-center-market-investment-analysis
The UK Data Center Market Report Scope
Report Scope
Details
Market Size (Investment)
USD 10.13 Billion (2029)
Market Size (Area)
955 Thousand Sq. Feet (2029)
Market Size (Power Capacity)
183 MW (2029)
CAGR: Investment (2023-2029)
2.37 %
Colocation Market Size (Revenue)
USD 5 Billion (2029)
Historic Year
2020-2022
Base Year
2023
Forecast Year
2024-2029
The UK data center market is poised for substantial growth, largely propelled by the expanding presence of Artificial Intelligence (AI) technologies across industries. Projections suggest that by 2040, an estimated one million businesses throughout the UK will have integrated AI-driven solutions into their operations. According to the Global Innovation Index 2023, the UK was ranked fourth out of 211 countries.
Key Insights
The growth of the UK data center market is fueled by investments from colocation data center operators including key players such as Equinix, VIRTUS Data Centres, Digital Realty, and Ark Data CentresMajor cloud service providers, such as AWS, Microsoft, and Google, are actively expanding their data center infrastructure in the UK. Investments and expansion initiatives by these providers align with the growing demand for cloud services.Countries including Manchester, Berkshire, and West Sussex are witnessing investments in data center facilities. Sustainability efforts such as the use of hydrotreated vegetable oil (HVO) by Datum Datacentres are prevalent across counties.The UK government has launched initiatives such as the Wireless Infrastructure Strategy, which is aiming to increase wireless network connectivity by 2030. The Digital Strategy, launched by the UK government, outlines a holistic approach to digital policy across critical domains, emphasizing the country’s commitment to digital technology.Investment Opportunities
Within the Western European region, the UK represents approximately 20% of the total data center investments. This can be attributed to the growing internet penetration and the extensive adoption of cloud-based services across various sectors within the country.The significance of the UK in submarine cable connectivity is underscored by its 56 submarine cables, linking the country to key regions such as the US, Europe, Africa, the Middle East, and Asia. The notable submarine cables include Apollo, BT-MT-1, Circe South, ESAT-1, Europe India Gateway, and NO-UK. The upcoming submarine cables, namely 2Africa, Amitie, and BT North Sea, are poised to strengthen the UK’s global connectivity further.The strategic rollout of 5G network connectivity is a key focus in the UK, spearheaded by major telecom operators, including EE, Vodafone, Ericsson, Three UK, and O2. Complementing these efforts, the UK government has initiated projects such as 5G Logistics, 5G Ports, Smart Junctions 5G, AMC2, 5G CAL, 5G Factory of The Future, and 5GEM-UK.In May 2023, Kao Data unveiled its plans to construct a 40 MW data center in Manchester’s Kenwood Point for a projected investment of $440 million; the facility is set to go live in late 2025. The strategic move into Manchester aligns with Kao Data’s commitment to advancing the region’s computing capabilities and supporting the aspirations of the UK government.In April 2023, Equinix planned to develop a 30 MW data center facility in Slough Trading Estate in Berkshire, outside London. It is a five-story building with two data halls on each floor.In April 2023, Vantage Data Centers announced the development of a second data center campus, LHR2, in West London, with an investment of around $310 million. The LHR1 data center campus, with a total area of 40,000 square feet and two 24 MW multi-story data centers, is expected to be online by 2024.To Know More, Click: https://www.arizton.com/market-reports/uk-data-center-market-investment-analysis
Existing VS Upcoming Data Centers
Existing Facilities in the Region (Area and Power Capacity)
Greater LondonBerkshireGreater ManchesterOther CountiesList of Upcoming Facilities in the Region (Area and Power Capacity)
Why Should You Buy this Research?
Market size is available in the investment, area, power capacity, and UK colocation market revenue.An assessment of the data center investment in the UK by colocation and enterprise operators.Investments in the area (square feet) and power capacity (MW) across locations in the country.A detailed study of the existing UK data center market landscape, an in-depth market analysis, and insightful predictions about market size during the forecast period.Snapshot of existing and upcoming third-party data center facilities in the UKFacilities Covered (Existing): 200Facilities Identified (Upcoming): 40Coverage: 30+ LocationsExisting vs. Upcoming (Area)Existing vs. Upcoming (IT Load Capacity)Data Center Colocation Market in the UKMarket Revenue & Forecast (2023-2029)Retail & Wholesale Colocation PricingThe UK data center market investments are classified into IT, power, cooling, and general construction services with sizing and forecast.A comprehensive analysis of the latest trends, growth rate, potential opportunities, growth restraints, and prospects for the industry.Business overview and product offerings of prominent IT infrastructure providers, construction contractors, support infrastructure providers, and investors operating in the industry.A transparent research methodology and the analysis of the demand and supply aspects of the industry.The Report Includes the Investment in the Following Areas:
IT InfrastructureServersStorage SystemsNetwork InfrastructureElectrical InfrastructureUPS SystemsGeneratorsTransfer Switches & SwitchgearsPDUsOther Electrical InfrastructureMechanical InfrastructureCooling SystemsRacksOther Mechanical InfrastructureCooling SystemsCRAC & CRAH UnitsChiller UnitsCooling Towers, Condensers & Dry CoolersEconomizers & Evaporative CoolersOther Cooling UnitsGeneral ConstructionCore & Shell DevelopmentInstallation & Commissioning ServicesEngineering & Building DesignFire Detection & Suppression SystemsPhysical SecurityData Center Infrastructure Management (DCIM)Tier StandardTier I & Tier IITier IIITier IVGeographyGreater LondonOther CountiesVendor Landscape
IT Infrastructure Providers
Arista NetworksAtosBroadcomCisco SystemsDell TechnologiesFujitsuHewlett Packard EnterpriseHuawei TechnologiesIBMJuniper NetworksLenovoNetAppData Center Construction Contractors & Sub-Contractors
2bmAECOMArupARC:MCAtkinsBladeRoom Data CentresBouygues ConstructionDeernsFuture-techHDR ArchitectureINFINITIISGJCA EngineeringKirby Engineering GroupKMG PartnershipMaceMercury EngineeringMiCiMstudioNWAOakmont ConstructionSweet ProjectsREDSPIE UKSkanskaSTO Building GroupSudlowsTTSPWaldeckSupport Infrastructure Providers
ABBAiredale International Air ConditioningCaterpillarCumminsDelta ElectronicsEatonKohler SDMOLegrandMitsubishi ElectricPiller Power SystemsRolls RoyceRiello Elettronica (Riello UPS)RittalSchneider ElectricSocomecSiemensSTULZVertivData Center Investors
Amazon Web Services (AWS)Ark Data CentresChina Mobile International (CMI)Colt Data Centre ServicesCustodian Data CentresCyrusOneCyxtera TechnologiesCorscale Data CentersDigital RealtyData DatacentresEquinixEchelon Data CentresGlobal SwitchIron MountainIonosInfinity SDCKeppel Data CentresKao DataNTT Global Data CentersLumen TechnologiesMicrosoftProximity Data CentresServerfarmSungard Availability ServicesTelehouseVantage Data CentersVirtus Data Centres (ST Telemedia Global Data Centres)YondrNew Entrants
CloudHQDigital ReefEdgeCore Digital InfrastructureGoogleGlobal Technical RealtyStratus DC ManagementKey Questions Answered in the Report
What is the growth rate of the UK data center market?
What are the driving factors for the UK data center market?
How much is the UK data center market investment expected to grow?
Who are the new entrants in the UK data center market?
How many data centers have been identified in the UK?
Get the Detailed TOC @ https://www.arizton.com/market-reports/uk-data-center-market-investment-analysis
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Artificial Intelligence
GEP NAMED ‘LEADER’ IN MULTIPLE GLOBAL PROCUREMENT SERVICES REPORTS BY TOP ANALYST FOR FOURTH YEAR IN A ROW
ISG cites GEP CONSULTING and GEP SERVICES for their ability to address complex categories in sourcing and spend management, and continued success in global engagementsCements GEP as the ideal global partner for transforming procurement, supply chain and business operationsCLARK, N.J., April 16, 2024 /PRNewswire/ — GEP®, a leading provider of AI-powered procurement and supply chain software, strategy, and managed services to Fortune 500 and Global 2000 enterprises worldwide, announced today that it has been named a Leader in the ISG Provider Lens™ – Procurement Services 2024 – Global, for the fourth year in a row. GEP is named a leader in all three categories:
Procurement Operations Modernization ServicesStrategic Sourcing and Category Management ServicesDirect Procurement Enablement and Modernization ServicesDownload a complimentary copy of each of these reports, which evaluates providers of transformation services, and the software platforms and tools enterprises use to transform procurement here.
GEP’s chief marketing officer Al Girardi, explained “At a time when business is transforming procurement to mitigate inflation and global uncertainty, GEP’s ability to integrate consulting, managed services and software makes us the ideal strategic partner for companies in driving competitive advantage, resilience, cost savings and shareholder value. GEP is the only firm globally that provides end-to-end procurement and supply chain strategy, managed services and technology solutions under one umbrella, providing a one-handshake solution for clients.”
Direct Procurement Enablement and Modernization Services
According to the ISG Provider Lens lead analyst Bruce Guptill, “GEP’s leadership builds on its ability to address complex and varying client needs and modernize direct procurement operations integrated with finance, supply chain and other associated disciplines.”
ISG Provider Lens™ cites GEP strengths in Procurement Operations Modernization Services as:Full modernization and optimization portfolio.Extensive partner network to enable, deliver and support procurement and supply chain improvement beyond the abilities of many other providers.AI-powered GEP QUANTUM low-code, cloud-native development platform for efficient integration and data exchange across procurement- and supply chain-related applications. ISG Provider Lens™ cites GEP strengths in Strategic Sourcing and Category Management Services as:Strategic sourcing and category management offerings.Robust software foundation. Deep pool of software and service partners. ISG Provider Lens™ cites GEP strengths in Direct Procurement and Modernization as:Substantial expertise and experience in direct sourcing.Software platforms including the AI-powered GEP SMART™ platform (S2P), GEP NEXXE for supply chain management, GEP GREEN™ for ESG tracking and reporting, and QUANTUM platform for AI-driven automation, analytics and low-code development.Nontraditional partnerships for direct sourcing presence.About ISG Provider Lens™ Research The ISG Provider Lens™ Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG’s global advisory team. The research currently covers providers offering their services globally, across Europe and Latin America, as well as in the U.S., Germany, Switzerland, the U.K., France, the Nordics, Brazil and Australia/New Zealand, with additional markets to be added in the future. For more information about ISG Provider Lens™ research, please visit this webpage. ISG (Information Services Group) (Nasdaq: III) is a leading global technology research and advisory firm with more than 700 clients, including more than 75 of the world’s top 100 enterprises. For more information, visit www.isg-one.com.
About GEPGEP® delivers AI-powered procurement and supply chain solutions that help global enterprises become more agile and resilient, operate more efficiently and effectively, gain competitive advantage, boost profitability and increase shareholder value. Fresh thinking, innovative products, unrivaled domain expertise, smart, passionate people — this is how GEP SOFTWARE™, GEP STRATEGY™ and GEP MANAGED SERVICES™ together deliver procurement and supply chain solutions of unprecedented scale, power and effectiveness. Our customers are the world’s best companies, including more than 550 Fortune 500 and Global 2000 industry leaders who rely on GEP to meet ambitious strategic, financial and operational goals. A leader in multiple Gartner Magic Quadrants, GEP’s cloud-native software and digital business platforms consistently win awards and recognition from industry analysts, research firms and media outlets, including Gartner, Forrester, IDC, ISG, and Spend Matters. GEP is also regularly ranked a top procurement and supply chain consulting and strategy firm, and a leading managed services provider by ALM, Everest Group, NelsonHall, IDC, ISG and HFS, among others. Headquartered in Clark, New Jersey, GEP has offices and operations centers across Europe, Asia, Africa and the Americas. To learn more, visit http://www.gep.com/.
GEP Media Contact Derek CreeveyPhone: +1 732-382-6565Email: [email protected]
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Equity Insider Commentary
VANCOUVER, BC, April 16, 2024 /PRNewswire/ — EQUITY INSIDER – Data centers are at the core of what’s powering the ongoing artificial intelligence (AI) boom. With almost every major industry shifting towards AI, massive amounts of new infrastructure will still be needed, in particular data centers. The Data Center Equipment Market is exploding, with analysts at Straits Research projecting it to surpass $164 billion by 2031, growing at a whopping 13.2% CAGR along the way. According to Technavio, 38% of growth in the Data Center Rack PDU Market growth will originate from North America, while surging data center demand is pushing the limits of available workers. Among the innovators helping to bring the AI revolution to life are a mix of innovators, including Avant Technologies Inc. (OTC:AVAI), NVIDIA Corporation (NASDAQ:NVDA) (NEO:NVDA), Intel Corporation (NASDAQ:INTC), Advanced Micro Devices, Inc. (NASDAQ:AMD) (NEO:AMD), and Amazon.com, Inc. (NASDAQ:AMZN) (NEO:AMZN).
AI tech developer, Avant Technologies Inc. (OTC: AVAI) specializes in the development of advanced AI and data center infrastructure solutions. Recently, the company announced that development on its next-generation, AI-driven resource allocation system is now fully underway. This news follows Avant’s February 2024 announcement of its decision to begin enhancing its sophisticated machine and deep learning AI system, Avant AI™, with automated data center resource management for its new high-density compute data center infrastructure. The company’s management team has expressed great satisfaction with the rapid progress made since the announcement.
This new Avant AI™ innovative initiative seeks to harness the power of AI to improve resource use, boost performance, and give businesses unmatched flexibility in their data center operations.
“We are excited about the quick development being made on our groundbreaking AI for intelligent data center management,” said Timothy Lantz, CEO of Avant. “These latest innovations will help our customers unlock new levels of performance and efficiency in their data center operations and achieve success in today’s digital era. We anticipate that Avant’s AI infrastructure solutions will directly boost our clients’ bottom lines and provide a significant competitive advantage in the marketplace.”
Avant AI™ analyzes data in real-time to foresee future resource requirements, automatically assigns resources, and adjusts to fluctuating workloads. Its multi-layered architecture maintains data quality and reliability as it converts AI suggestions into practical actions. Avant AI™ helps businesses by reducing resource waste, lessening performance delays, speeding up resource expansion, and automating resource distribution, which altogether enhances operational efficiency.
“The demands placed on data centers are constantly evolving,” said Danny Rittman, Chief Information Officer of Avant. “Traditional static provisioning and manual configuration methods struggle to keep pace with dynamic workloads and ever-increasing resource needs. Our AI-driven resource allocation system represents a paradigm shift, promising to revolutionize data center management.”
It’s easy to witness the growth of data centers by looking at leading chipmaker NVIDIA Corporation (NASDAQ: NVDA) (NEO: NVDA), which has seen its Data Center business explode by more than 400% since last year to $18.4 billion in Q4 2024, as reported in its Q4 and FY 2024 results. Key to the growth has been the surging demand for NVIDIA’s H100 graphics cards that are widely used to power generative AI apps such as OpenAI’s ChatGPT.
“Accelerated computing and generative AI have hit the tipping point. Demand is surging worldwide across companies, industries and nations,” said Jensen Huang, founder and CEO of NVIDIA. “Our Data Center platform is powered by increasingly diverse drivers — demand for data processing, training and inference from large cloud-service providers and GPU-specialized ones, as well as from enterprise software and consumer internet companies. Vertical industries — led by auto, financial services and healthcare — are now at a multibillion-dollar level.”
Back in mid-December 2023, NVIDIA’s competitor Intel Corporation (NASDAQ:INTC) unveiled its own new data center chip with a focus on AI growth. The company would go on to follow this up by announcing Gaudi 3 availability to original equipment manufacturers (OEMs), including with Dell Technologies, HPE, Lenovo, and Supermicro, serving to broaden Intel’s AI data center market offerings for enterprises.
“Innovation is advancing at an unprecedented pace, all enabled by silicon – and every company is quickly becoming an AI company,” said Pat Gelsinger CEO of Intel. “Intel is bringing AI everywhere across the enterprise, from the PC to the data center to the edge. Our latest Gaudi, Xeon and Core Ultra platforms are delivering a cohesive set of flexible solutions tailored to meet the changing needs of our customers and partners and capitalize on the immense opportunities ahead.”
Companies are aiming to expand their GenAI projects from initial trials to full-scale production. To achieve this, they require accessible solutions based on powerful, cost-effective, and energy-efficient processors, such as the Intel Gaudi 3 AI accelerator. These solutions must also tackle challenges like complexity, fragmentation, data security, and compliance needs.
Not to be left out, Advanced Micro Devices, Inc. (NASDAQ: AMD) (NEO: AMD) also made adjustments back in December 2023, by introducing new AI and Data Center products, including its Instinct MI300X Series accelerator to deliver robust performance for HPC and AI workloads. The MI300X launch was seen as a move that could help the chipmaker to better compete with Nvidia amid the AI boom. Then by early April 2024, AMD announced the expansion of its AMD VersalTM adaptive system on chip (SoC) portfolio, with its newer Versal AI Edge Series Gen 2 and Versal Prime Series Gen 2 adaptive SoCs, which bring preprocessing, AI interference, and postprocessing together in a single device for end-to-end acceleration of AI-driven embedded systems.
“The demand for AI-enabled embedded applications is exploding and driving the need for single-chip solutions for the most efficient end-to-end acceleration within the power and area constraints of embedded systems,” said Salil Raje, senior vice president and general manager, Adaptive and Embedded Computing Group, AMD. “Backed by over 40 years of adaptive computing leadership, these latest generation Versal devices bring together multiple compute engines on a single architecture offering high compute efficiency and performance with scalability from the low-end to high-end.”
As of late March 2024, online giant Amazon.com, Inc. (NASDAQ: AMZN) (NEO: AMZN) appears to be going all in on AI-driven data centers, with a $150 billion investment to retain its cloud computing edge over competitors like Microsoft and Google. The biggest headline grabbing element of the giant investment is that one of the largest nuclear power plants in the USA will directly power new Amazon Web Services (AWS) data center. As of the announcement, Amazon’s cloud computing subsidiary was being used by upwards of 1.45 million businesses, according to an internal report.
“We’re expanding capacity quite significantly,” said Kevin Miller, a vice president at AWS. “I think that just gives us the ability to get closer to customers.”
The announcement came within a couple weeks of an announcement by Amazon it would be extending its collaboration between AWS and NVIDIA to advance Generative AI innovation. Included in the extension, the duo plan to integrate Elastic Fabric Adapter (EFA) for petabit-scale networking and Amazon Elastic Compute Cloud (Amazon EC2) UltraCluster for hyper-scale clustering.
“The deep collaboration between our two organizations goes back more than 13 years, when together we launched the world’s first GPU cloud instance on AWS, and today we offer the widest range of NVIDIA GPU solutions for customers,” said Adam Selipsky, CEO at AWS. “Together, we continue to innovate to make AWS the best place to run NVIDIA GPUs in the cloud.”
Source: https://equity-insider.com/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
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