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Artificial Intelligence

GPU as a Service Market Size to Surpass USD 25.53 billion by 2030, exhibiting a CAGR of 34.8%

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Pune, India, July 31, 2023 (GLOBE NEWSWIRE) — According to Fortune Business Insights, global GPU as a Service Market Size was valued at USD 2.39 billion in 2022 and is projected to grow from USD 3.16 billion in 2023 to USD 25.53 billion by 2030, exhibiting a CAGR of 34.8% during the forecast period.

GPU as a Service (GPUaaS) refers to the use of various GPUs in a cloud network when large volumes of data need to be processed for various applications such as deep learning, scientific simulations, financial risk analysis, video rendering, and other activities. A server containing a single GPU is capable of doing the operations of dozens of CPU-based servers. The growing usage of AI, Machine Learning (ML), and other advanced technologies in industry verticals, such as healthcare, finance, and automotive, is expected to drive the GPU as a Service market share. Fortune Business Insights™ displays this information in a report titled, “GPU as a Service Market, 2023-2030.”

Key Industry Development-

October 2022: Oracle, a computer technology firm, and NVIDIA Corporation, a supplier of artificial intelligence hardware and software, announced a multi-year partnership deal to overcome complex business problems associated with AI and accelerated computing. The aim of this agreement was to bring the complete NVIDIA accelerated computing stack including GPUs.

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Key Takeaways-

  • GPU as a Service Market is expected to flourish & reach USD 25.53 Billion in 2030
  • Solutions based on GPUaaS enable both private and commercial users to accelerate computer tasks.
  • It is projected that the rising popularity of virtualization and remote work would further support market expansion.
  • One of the main issues that is anticipated to impede market expansion throughout the forecast period is data security.
  • GPU as a Service Market Size in North America was USD 0.95 Billion 2022

Discover the Leading Players Featured in the Report-

“Alibaba Cloud (China), Vultr (U.S.), Linode LLC. (U.S.), Amazon Web Services, Inc. (U.S.), Google (U.S.), IBM Corporation (U.S.), OVH SAS (Europe), Lambda Labs (U.S.), Hewlett Packard Enterprise Development LP (U.S.), CoreWeave (U.S.)”

Report Scope & Segmentation-

Report Coverage Details
Forecast Period 2023 to 2030
Forecast Period 2023 to 2030 CAGR 34.8%
2030 Value Projection USD 25.53 Billion
Base Year 2022
GPU as a Service Market Size in 2022 USD 2.39 Billion
Historical Data for 2019 to 2021
No. of Pages 150
Segments covered Deployment, Enterprise, Application , Regional,

Browse Complete Report Details- https://www.fortunebusinessinsights.com/gpu-as-a-service-market-107797

Drivers and Restraints-

Rising Need for GPU-Intensive Applications and Advanced Technologies to Enhance Market Growth

There has been a significant growth in GPU-based applications, such as 3D graphics rendering, ML, blockchain, scientific computing, cryptocurrency mining, and video editing, which may propel the market growth. GPUaaS solutions can assist individuals and organizations in accelerating their computing jobs, which can boost their adoption. The rising trend of workplace virtualization is further expected to fuel the market growth.

However, growing data security issues can hamper the market progress.

Leading Segments Covered in this Report-

By Deployment Model

  • Private GPU Cloud
  • Public GPU Cloud
  • Hybrid GPU Cloud

By Enterprise Type

  • Small and Medium-sized Enterprises
  • Large Enterprises

By Application

  • Healthcare
  • BFSI
  • Manufacturing
  • IT & Telecommunication
  • Automotive
  • Others (Aerospace & Defense, Agriculture)

Regional Insights:

North America to Dominate Global Market Due to Growing Adoption of Advanced Tech

North America is expected to lead the market due to the large-scale adoption of advanced technologies, such as AI, and ML in manufacturing, healthcare, BFSI, and aerospace & defense industries. Moreover, the increasing presence of reputed market players will foster the regional market growth.

The market in Asia Pacific is expected to display the fastest CAGR as governments in countries, such as India, China, Australia, and New Zealand, have shown immense interest in AI and have introduced various strategies in this regard.

Quick Buy – GPU as a Service Market – https://www.fortunebusinessinsights.com/compare-plan/107797

Competitive Landscape:

Key Players to Increase their Market Presence with Consistent Developments

The market is highly competitive due to the presence of major companies such as Google, Microsoft, Amazon Web Services, Inc., IBM Corporation, and Vultr. These companies are trying to increase their market presence by using various corporate strategies, such as partnerships, acquisitions, mergers, and product launches

FAQs

How big is the GPU as a Service Market?

GPU as a Service Market size was USD 2.39 Billion in 2022. It is expected to reach USD 25.53 Billion by 2030.

How fast is the GPU as a Service Market growing?

The GPU as a Service Market will exhibit a CAGR of 34.8% during the forecast period, 2023-2030

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About Us-

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them to address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

Contact Us:

Fortune Business Insights™ Pvt. Ltd.

US: +1 424 253 0390

UK: +44 2071 939123

APAC: +91 744 740 1245

Email: [email protected]

GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected] 
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

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Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai. 
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Artificial Intelligence

Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

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Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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