Category Archives: Cloud Servers

AMD-powered Dell telco cloud servers to get NEBS certification – RCR Wireless News

At the recent Mobile World Congress in Barcelona, a primary theme was the accelerating cloudification of telco networks in the move to 5G Standalone and decentralization of compute from the datacenter to the network edge. To facilitate this transition, Dell and silicon partner AMD showcased the latest telco cloud-optimized Dell server featuring AMDs 128-core EPYC Bergamo processors.

According to Mike Moore, Dells global strategic partner manager for the Telecom Systems Business, the PowerEdge R7615 is set for NEBS certification in April. Network Equipment-Building Systems (NEBS) certification is an important testing program designed to ensure product safety of gear being deployed in telecom networks, including environmental and dynamics testing.

The most interesting thing about this is it the densest and most power-efficient server for telecom cloud on the market today, Moore said, calling out potential 40% increase in power efficiency and a 56% reduction in power consumption which can save hundreds if not thousands of dollars a year in electric costs.

The PowerEdge R7615 2U server supports:

Moore also pointed out that because its a single-socket server, the PowerEdge R7615 solves for issues in deploying containers or virtual machines to the cloud in that your applications all have complete access to all the peripheralsthe storage and the network cards that are on this particular server.

In summary, Weve been working with AMD for years, we value our partnership and look forward to big things with this particular platform, Moore said.

Further in partnership with AMD, Dell Technologies demoed at MWC the C6615 rack-mounted server featuring AMDs 64-core Sienna processors, and the dual-socket PowerEdge R7625 which brings 256 cores of processing in a 2U form factor for cloud-based telco OSS/BSS workloads.

For more information, read this blog post, Telecom Cloud Core Optimized with the AMD-based PowerEdge R7615.

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AMD-powered Dell telco cloud servers to get NEBS certification - RCR Wireless News

As Apple’s artificial intelligence plans take shape, Google announces its own custom AI chips for cloud servers and more – iMore

While a lot of the talk right now is about Apple's AI plans for the future, including an expected big unveiling of new features at WWDC 2024, Google has today announced its own AI initiative. But this isn't about bringing AI features to future Pixel phones Google has already done a pretty good job of that to date but rather about setting the company up to be at the forefront of server-based AI technology for years to come.

The announcement, Google's new Arm-based AI chip called Axion, is designed to ensure that the company is at the forefront of AI processing power in data centers everywhere. Initially used to support Google's own services like Google Earth and YouTube ads, the chips will eventually roll out as options for Google Cloud business customers later this year.

Google says that its Axion CPU promises around 30% better performance than so-called general-purpose Arm chips and 50% more than Intels existing options. That's a lot of big talk, and right now we wouldn't put it past Google to be on the money here. The company is very much ahead of Apple and much of the competition in the world of not only AI but server-based computing and services. And the Axion CPU could prove to be a real boost for the future.

Announced via a blog post, Google Axion is built on years of work that has seen the company launch five generations of Tensor Processing Units (TPU) since 2015. Axion is Google's first custom Arm-based CPU, with the company saying that they deliver "industry-leading performance and energy efficiency."

Google's blog post gets into the weeds about how Axion is put together, and it's clear that there is plenty of excitement for what the custom silicon can do.

"Built using the Arm Neoverse V2 CPU, Axion processors deliver giant leaps in performance for general-purpose workloads like web and app servers, containerized microservices, open-source databases, in-memory caches, data analytics engines, media processing, CPU-based AI training and inferencing, and more," Google explains.

But much like Apple, Google says that performance isn't the only reason these new AI chips are important it's all about saving the planet, too.

iMore offers spot-on advice and guidance from our team of experts, with decades of Apple device experience to lean on. Learn more with iMore!

"Beyond performance, customers want to operate more efficiently and meet their sustainability goals," Google explains. "Google Cloud data centers are already 1.5X more efficient than the industry average and deliver 3X more computing power with the same amount of electrical power compared with five years ago. Weve set ambitious goals to operate our offices, campuses, and data centers on carbon-free energy, 24/7, and offer tools to help you report on carbon emissions. With Axion processors, customers can optimize for even more energy-efficiency."

The rest of the blog post includes plenty of testimonies from companies that use Google's cloud services and seem very excited about what Axion can do for them.

Google is putting its money where its mouth is, too. Axion chips are ready to go now, offering improved performance and up to 60% better energy efficiency. As a result, the company has "already started deploying Google services like BigTable, Spanner, BigQuery, Blobstore, Pub/Sub, Google Earth Engine, and the YouTube Ads platform on current generation Arm-based servers and plan to deploy and scale these services and more on Axion soon."

As for Apple, it's thought to be talking to Google about using its generative AI technology in iOS 18 and beyond, so it's possible iPhone users could still benefit from Google's big announcement in some small way, too.

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As Apple's artificial intelligence plans take shape, Google announces its own custom AI chips for cloud servers and more - iMore

Amazon, Google Quietly Tamp Down Generative AI Expectations – The Information

In the past year, major technology firms have championed generative artificial intelligence as the next big thing, boosting the stock market to new highs. But behind the scenes, representatives of major cloud providers and other firms that sell the technology are tempering expectations with their salespeople, saying the hype about the technology has gotten ahead of what it can actually do for customers at a reasonable price.

Several executives, product managers and salespeople at the major cloud providers, such as Microsoft, Amazon Web Services and Google, also privately said most of their customers are being cautious or deliberate about increasing spending on new AI services, given the high price of running the software, its shortcomings in terms of accuracy and the difficulty of determining how much value theyll get out of it.

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Amazon, Google Quietly Tamp Down Generative AI Expectations - The Information

Leading The Cloud Revolution: Establishes "COE For IBM Power Virtual Servers – ANI News

ANI | Updated: Mar 16, 2024 13:02 IST

PNN Mumbai (Maharashtra) [India], March 16: ROX Hi-Tech, a customer-centric IT solutions provider, establishes a Center of Excellence focused on IBM Power Virtual Servers within its Cloud Business marking a pivotal stride in its digital transformation solutions portfolio. With an additional 10,000 square feet of dedicated space and fortified by an augmentation of 80 highly skilled professionals, the COE is poised to emerge as a formidable nucleus for cultivating specialized knowledge and proficiencies in the deployment, administration, and optimization of IBM Power Virtual Servers in the cloud.

This substantial investment stands as a testament to ROX's unwavering commitment to delivering premium services and bespoke solutions tailored to the distinctive needs of its clientele within the IBM Power Virtual Servers cloud domain. This strategic initiative not only underscores ROX's steadfast dedication to fostering innovation but also signifies its unwavering pursuit of expertise and adherence to best practices in the dynamic landscape of cloud technology. Moreover, it demonstrates the company's unwavering dedication to delivering premium services and bespoke solutions tailored to its clients' specific requirements in this niche area. Time Commenting on this, Jim Rakesh Managing Director, ROX Hi Tech Limited said, "We are excited to reaffirm our commitment to advancing cloud technology, particularly IBM Power Virtual Servers. Our expanded Center of Excellence underscores dedication to providing superior solutions. Focused on IBM Power Virtual Servers, leveraging IBM's technology, we deliver resilient cloud-based server solutions. Strengthening this center reflects our intent to capitalize on market demand for IBM Power Virtual Serverscloud services. We eagerly anticipate adding 80 skilled professionals who share our ethos. Together, we will lead the IBM Power Virtual Servers cloud space, delivering transformative solutions that drive value and enable digital transformation for our clients. This strategic move reflects our dedication to meeting evolving market demands and seizing potential opportunities." (ADVERTORIAL DISCLAIMER: The above press release has been provided by PNN. ANI will not be responsible in any way for the content of the same)

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Leading The Cloud Revolution: Establishes "COE For IBM Power Virtual Servers - ANI News

Summit Acquires Deft to Expand Cloud and Data Center Offerings – Channel E2E

Virtual servers and application hosting provider Summit, backed by private equity firm Silver Oak Service Partners, has acquired Deft, a data center and managed cloud services provider. The financial details of the deal were not disclosed.

This is technology M&A deal number 53 that ChannelE2E and MSSP Alert have covered so far in 2024. See more than 2,000 technology M&A deals for 2024, 2023, 2022, 2021, and 2020 listed here.

Summit, founded in 2006, is based in Alpharetta, Georgia. The company has 46 employees listed on LinkedIn. Summits areas of expertise include web hosting, Sage hosting, QuickBooks hosting, application management, RDS routing, cloud services, international business, technical support, customer service, cloud hosting, cloud management, cybersecurity, VDI, DaaS, PaaS, and colocation.

Deft, founded in 1999, is based in Elk Grove Village, Illinois. The company has 126 employees listed on LinkedIn. Defts areas of expertise include colocation, hybrid cloud, private cloud, managed data center services, IT infrastructure, IaaS, network connectivity, data center, backup, disaster recovery, VMware, and managed services.

The acquisition aims to combine the strengths of both companies to enhance their offerings in cloud hosting, data center, and network services.

The deal is described as a strategic alignment of two companies aiming to better serve their customers as IT infrastructure needs evolve.

Warren Patterson, CEO, Summit, commented:

"Together, Summit and Deft share a unified vision for the future of IT services a future where innovation, security, and customer-centric solutions lead the way.

As part of the acquisition, Deft's co-founders and principals, Jordan Lowe, Daniel Brosk, and Eric Dynowski, will join Summit's leadership team and retain an ownership stake in the company.

"There's no hidden agenda to change how Deft operates, said Lowe, now a member of Summits Board of Directors, commenting on the transition.

This acquisition is part of a series of strategic moves by Summit, including the previous acquisitions of Handy Networks and Tech Commandos, indicating a pattern of growth supported by investments from Silver Oak Service Partners, LLC.

Silver Oak is a private equity firm with a history of investments in the business, healthcare, and consumer services sectors, aiming to facilitate growth and development in these areas.

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Summit Acquires Deft to Expand Cloud and Data Center Offerings - Channel E2E

Cloudinary – Truly Anonymous and Private Cloud Servers for Your Decentralized Application and AI Machine Learning … – GlobeNewswire

Clark Ave, Lyons , Feb. 12, 2024 (GLOBE NEWSWIRE) -- Cloudinary Server is a cost-effective and dedicated server that offers diverse services, such as web hosting, email hosting, and file storage. This platform enables anonymous payments through cryptocurrencies without the need for KYC via a telegram bot, ensuring privacy. Cloudinary is a cloud-based platform that empowers users with comprehensive control over their workloads while ensuring optimal security. In addition, it provides free technical support, making it a practical and convenient choice for businesses and individuals alike.

Cloudinary provides anonymous cloud servers

Are you looking for a decentralized infrastructure service that prioritizes your privacy and anonymity?

Cloudinary is a state-of-the-art platform that offers anonymous cloud server solutions for decentralized applications and AI machine learning applications. Our services are designed to provide you with a quick and effortless way to acquire the cloud infrastructure you need while ensuring high levels of privacy, security, and anonymity.

We store your data in truly anonymous and private cloud servers, ensuring that your information remains secure and inaccessible to unauthorized parties. Our platform also provides an added layer of security through end-to-end encryption, so you can rest assured that your data is safe from any prying eyes.

Our anonymous cloud servers service is available at a reasonable and competitive price, making it accessible to all. Additionally, our customer support team is available 24/7 to assist you with any queries or issues you may have.

Buy cloud infrastructure via Telegram bot

You can buy cloud infrastructure with a Cloudinary Telegram bot. This is a fast and easy way to get the computing resources you need. Its simple to use and you can do it remotely. This means you dont have to go anywhere to get what you need. This service is great for businesses that need computing power to get their work done. It helps them work more efficiently and get things done quickly.

With the Cloudinary Telegram bot, you have the convenience of not only ordering cloud servers but also managing them. All you need to do is initiate a conversation with the bot, and youll be able to buy and configure the right cloud server to suit your needs.

Buying Cloud Infrastructure with the Telegram bot provides a quick and efficient solution for businesses seeking computing resources. Its remote accessibility, security features, and seamless integration with Telegram make it a valuable tool for enhancing operational efficiency and privacy.

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CDY Token

Introducing the CDY token, the native governance token of Cloudinary. With CDY, users can actively participate in our ecosystem. Vote on governance proposals, benefit from exclusive features and become an integral part of the Cloudinary community.

The following outlines the benefits that are available to holders of $CDY tokens:

1. Product Access

If you are a $CDY holder, you can enjoy complete access to all of Open Systems products.

2. App Discounts

As a $CDY holder, you are entitled to receive discounts on all of Cloudinarys services. This includes website hosting, email hosting, and file storage.

3. Earn Passive Income

$CDY holders have the opportunity to earn rewards through three different methods.

4. Partner Benefits

The $CDY token is a versatile cryptocurrency that can be used for various purposes. One of its main use cases is for staking at our partners liquidity pools, which allows users to earn rewards for providing liquidity to the platform.

About Cloudinary

Cloudinary server is a low-cost dedicated server that offers various services, including web hosting, email hosting, and file storage. It allows anonymous payments using cryptocurrencies, ensuring privacy.

Official Website|Telegram|Twitter|Medium|Youtube

Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or tradingcryptocurrencyandsecurities.

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Cloudinary - Truly Anonymous and Private Cloud Servers for Your Decentralized Application and AI Machine Learning ... - GlobeNewswire

What Is Cloud Storage and How Does It Work? 2024 Guide to Online Data Storage – Cloudwards

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Our team of experts thoroughly test each service, evaluating it for features, usability, security, value for money and more. Learn more about how we conduct our testing.

Cloud storage is a service that helps to free up space on your device by letting you store your files in the cloud. You can access your files from anywhere as long as you have an internet connection. There are plenty of cloud storage options available, as we discuss in our best cloud storage services article. However, lets answer one question first: What is cloud storage and how does it work?

Using cloud storage offers many benefits. One example is that you can easily access and share your files with almost anyone. Another is security: While stored on remote servers, security protocols and user account settings keep your data protected. However, it is not a one-size-fits-all solution. Well discuss cost, use cases and the different types of cloud storage available.

Meet the experts

Learn more about our editorial team and our research process.

Cloud storage is a service that allows you to store data online in a network of remote servers, also known as the cloud. Without cloud storage, you must keep your data on your computer, an external hard drive or a flash drive. This means you have limited space available. You can run into issues or lose your data if your external hard drive fails.

Since your data is stored on a remote server, you only need an internet connection to access it. Most cloud storage services have downloadable apps for desktop or mobile, giving you plenty of flexibility to access your files.

When you upload folders or files from your device to your cloud storage account, they go to remote servers. You can store many file types as long as you have the storage space. You can use cloud storage for personal or business use. The difference between these two types of use cases is typically the storage space the user requires.

It is common for cloud storage solutions to spread your data across multiple servers, though youll rarely ever notice. This method provides redundancy and avoids data loss should one of the servers go offline. Additionally, there are several models for cloud storage: public, private, hybrid and multicloud.

Public cloud storage is perhaps the most common or at least the most familiar type of cloud storage. For example, if you have an account with which we cover in more detail with our Box Business review then you are using public cloud storage.

Public cloud storage users share server space with each other. Public cloud storage can adjust server capacity if demand increases or decreases.

Private cloud storage works very similarly to public cloud storage, with the main difference being that server space is not shared with outside organizations or individual users. Anyone who uses private cloud storage has their own servers and data centers to store and manage data. Organizations can negotiate with public cloud providers to procure dedicated server space.

A hybrid cloud storage solution is like a combination of public and private cloud models. Larger businesses and organizations are most likely to use a hybrid configuration. With a hybrid cloud storage model, organizations have more flexibility in deciding where to store their data. Sensitive data could go on private servers, while team project files could go on public servers.

A multicloud model combines more than one cloud storage service using public, private or a combination of both models. There are a few reasons why an organization, or even an individual, would choose a multicloud model.

A good example is an organization choosing a cloud storage provider because of other features it might offer while also using a provider in a different country if the organization has a global workforce.

Cloud storage offers many benefits and advantages over storing data locally. Examples include cost, security and flexibility, as you will see below.

Choosing a cloud storage provider means that businesses or individuals dont have to worry about infrastructure costs and maintenance. Most will only pay for the amount of storage needed and can reallocate costs and resources to other areas.

It is rare to find a cloud storage provider that doesnt have robust security protocols and protected data centers. Most cloud storage services also have user-controlled security settings, such as two-factor authentication.

Some cloud storage takes security and privacy a step further by offering zero-knowledge encryption. Zero-knowledge encryption ensures that only you can access your account, as only you have the password to decrypt it.

Most cloud storage services offer tools and features that let you access and work with your data in various ways. Options include multiple file-sharing methods, different ways to keep your account in sync and flexibility with version control.

Redundancy is essential to cloud storage, as it provides a fail-safe against data loss. With redundancy, data is replicated on multiple servers, often at different locations. Should a disaster happen at one location, cloud storage solutions are able to recover.

Cloud storage is not a perfect solution, especially when using a public model. Privacy and compliance are two of the more significant challenges that individuals and organizations face.

Though all cloud storage services collect data when you sign up or use the service, the provider you choose significantly impacts your privacy. is an excellent example of a cloud service that collects the minimum amount of data necessary. Check out our review for more information.

Conversely, Google is notorious for collecting data on you and how you use its services. We cover more in our Google Drive review. Simply put, anyone who uses Googles products becomes part of its analytics machine.

Not all industries can use any cloud provider they want due to regulatory compliance issues. A good example is companies in the healthcare or financial sector. Any company with strict data compliance rules should be aware that some cloud storage solutions may not comply with their company or industry regulations.

Using a cloud storage solution puts you at the mercy of how fast it can process data. Cloud services with slower upload or download speeds could impact your productivity. Speed is a factor if thats a priority for you, check out our article on the fastest cloud storage providers.

Similar to speed, latency could also be a factor. Latency happens when network traffic either yours or the cloud storage providers becomes congested and slow.

Despite cloud storage solutions best efforts, it is impossible for any of them to have 100% uptime all the time. If a service goes down, you are at the cloud providers mercy to restore services. You cant access your data while it is down. Downtimes are rare, but they can happen.

Cloud storage use cases go beyond simply sharing files and storing data, regardless of whether you have personal or professional needs.

Using cloud storage for backup or disaster recovery is a great use case example. Data loss can happen due to several factors, including human error or cyberattacks. Using a cloud storage solution to store some or all of your data instead of keeping it locally helps prevent data loss in the event of an unforeseen event or failure.

Online backup services are another category of cloud products. Similar to cloud storage, online backup provides a dedicated way to back up large amounts of data. Read our article on the best online backup services for more details.

Cloud storage is a great way to offload older or archival data taking up space on local hard drives or servers. Companies in certain industries, like financial services or law firms, often need to keep data for many years for research or audit purposes. Storing data with a cloud storage solution is a great way to maintain access while freeing up space for relevant data.

Cloud storage is a useful tool for large, complex or virtual teams to manage project files. Depending on the cloud storage solution, teams could have access to additional productivity and collaboration tools. A few examples include tagging folders or files, adding comments and creating tasks.

Another benefit of cloud storage while working on project documents is sharing files. Files can be shared internally to a team or externally if needed. Most cloud storage providers let you invite others directly with an email address or create a shareable link.

For some, using cloud storage to hold data for analytical purposes is easier and more cost-effective. As data grows, cloud storage provides a scalable option thats accessible and secure.

Data lakes are large-scale cloud storage solutions designed for analytics. When data lakes use the object storage type defined in the next section it doesnt alter the data. Object storage also includes metadata, which is often used when running analytical reports.

Cloud storage comes in three types: object storage, file storage and block storage. What you need from a cloud storage solution will determine the type of service you choose.

File storage is commonly used on computers and external hard drives. It organizes and stores data using a hierarchical method at the file level. Network-attached storage (NAS) devices also use the file storage type. Read our best NAS cloud backup article if you need this capability.

Simply put, data is stored in files and often organized into folders. You can find these folders and files with directories and sub-directories. Open Finder on a Mac or File Explorer on Windows and youll see the file storage type in action.

Block storage gets its name from how it disassembles and stores a file. With block storage, files are broken down into equal-sized blocks, and each block is stored individually with a unique identifier or address. Compared to file storage, block storage is faster and more efficient.

The main difference between block storage and file storage is that block storage does not use the directory/sub-directory/folder method of organization. When you want to access a file, the operating system reassembles the blocks of that file.

Object storage is best used to store vast amounts of unstructured data and is the preferred storage type for building applications. Unstructured data includes files like photos, videos, audio files and web content. These data types are stored in buckets instead of files or blocks, making it easier to customize the metadata.

With object storage, scalability, flexibility and cost are benefits for those who store a large amount of unstructured data.

Cost is one of the most significant factors to consider when getting what you need out of a cloud storage provider. Before deciding on a plan, make sure the cloud storage solution has the features you want. In most cases, you are purchasing more than just storage space.

For some, a free plan, which many providers offer, is enough to test a service. If you are looking for a free plan, check out our best free cloud storage article. However, a paid plan is the way to go for those needing more storage space.

Unfortunately, pricing varies significantly between providers. Generally, the higher the price, the more storage and features you get. If storage is your only concern, peruse our list of the best unlimited cloud storage providers.

Most cloud storage providers have different tiers in their pricing models. A basic or entry-level plan can cost between $5 and $9 per month, whereas the more advanced plans run anywhere from $20 to $30 per month.

Business plans cost $15 to $35 per user per month. Almost all cloud storage services offer a lower monthly price when you pay annually. Some even offer lifetime plans, which we cover in our best lifetime plans article.

For a deeper dive into costs and plans, read our article on understanding cloud storage pricing.

Cloud storage is a flexible and affordable tool to help us manage our growing digital lives. Most of us use the familiar file storage type, though other types are also available. Use cases include data storage for analytics or as a way to protect our data during a disaster. If cloud storage is a newer concept, hopefully this article demystified what it is and how it works.

Cloud storage allows you to store your data on a remote server, saving space on your local device. Changes you make to your files in the cloud sync with your device and vice versa. Additionally, you can share files with others by directly inviting them via email or by creating a shareable link.

Yes. Most cloud storage solutions have several security measures to protect your data. Examples include using AES 256-bit encryption to protect your data from unauthorized access while it is stored on a remote server. TLS/SSL encryption protocols protect your data during transfers from anyone trying to impersonate the recipient.

Privacy is one of the larger potential disadvantages of cloud storage. The service provider you choose is a major determining factor. Some cloud storage providers, like, are great with privacy. Others, like Google, are not.

Yes. Many cloud storage providers offer free plans. pCloud is one example, as it offers up to 10GB of free storage. Read more about it in our pCloud review. MEGA offers the most free storage at 20GB. We cover this and more in our MEGA review.

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What Is Cloud Storage and How Does It Work? 2024 Guide to Online Data Storage - Cloudwards

AI and Semiconductors – A Server GPU Market Analysis and Forecast, 2023-2028: Global AI and Server GPU Demand … – Yahoo Finance UK

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Global AI and Semiconductors Market

Global AI and Semiconductors Market

Dublin, Jan. 23, 2024 (GLOBE NEWSWIRE) -- The "AI and Semiconductors - A Server GPU Market - A Global and Regional Analysis: Focus on Application, Product, and Region - Analysis and Forecast, 2023-2028" report has been added to's offering.

The global AI and semiconductor - a server GPU market accounted for $15.4 billion in 2023 and is expected to grow at a CAGR of 31.99% and reach $61.7 billion by 2028. The proliferation of edge computing, where data processing occurs closer to the source of data generation rather than relying solely on centralized cloud servers, is driving the demand for GPU servers. The increasing trend toward virtualization in data centers and enterprise environments is also a significant driver for GPU servers.

The rapid development of machine learning and artificial intelligence applications is a major driver of this trend. A key element of AI and ML is the training of sophisticated neural networks, which is accelerated in large part by GPU servers. Companies such as Nvidia, for instance, have noticed a spike in demand for their GPU products, such as the Nvidia A100 Tensor Core GPU, which is intended especially for AI tasks. The global AI and semiconductor - server GPU market is growing as a result of the use of GPU servers by a variety of industries, including healthcare, finance, and autonomous cars, to handle large datasets and increase the precision of AI models.

The end-use application segment is a part of the application segment for the worldwide AI and semiconductor - server GPU market. Cloud computing (private, public, and hybrid clouds) and HPC applications (scientific research, machine learning, artificial intelligence, and other applications) are included in the end-use application sector. The global AI and Semiconductor - a server GPU market has also been divided into segments based on the kind of facility, which includes blockchain mining facilities, HPC clusters, and data centers (including hyperscale, colocation, enterprise, modular, and edge data centers).

According to estimates, the data center category will have the biggest market share in 2022 and will continue to lead the market during the projection period. The push toward GPU-accelerated computing in data centers is fueled by GPU technological breakthroughs that provide increased energy efficiency and performance. GPU servers can transfer certain computations from conventional CPUs to GPU servers, which improves overall performance and reduces energy consumption. Consequently, the increasing use of GPU servers in data centers is in line with the changing requirements of companies and institutions that want to manage the sustainability and efficiency of their data center operations while achieving higher levels of processing capacity.

The push toward GPU-accelerated computing in data centers is fueled by GPU technological breakthroughs that provide increased energy efficiency and performance. GPUs offer an efficient way to strike a balance between processing capacity and power consumption, which is something that data center operators are looking for in solutions. GPU servers can transfer certain computations from conventional CPUs to GPU servers, which improves overall performance and reduces energy consumption. Consequently, the increasing use of GPU servers in data centers is in line with the changing requirements of companies and institutions that want to manage the sustainability and efficiency of their data center operations while achieving higher levels of processing capacity.

Story continues

Data center expansion and the rise of cloud computing services have further propelled the demand for GPU servers in North America. Cloud service providers, including industry giants such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, are investing heavily in GPU infrastructure to offer customers high-performance computing capabilities on a scalable and cost-effective basis. This trend is particularly prominent as businesses increasingly rely on cloud-based resources for AI training, simulation, and other GPU-intensive tasks.

Demand - Drivers, Challenges, and Opportunities

Market Drivers:

GPU server producers can capitalize on this need by providing customized cryptocurrency mining solutions, including rigs specifically designed for mining, cloud-based mining services, or GPU-as-a-service platforms. By charging fees, charging subscriptions, or entering into contracts, these systems can make money for the makers while giving miners access to strong and scalable GPU resources.

The need for data center GPUs derives from their key role in AI model training and execution, which is especially advantageous for businesses engaged in computationally demanding tasks like engineering simulations and scientific research. Manufacturers of GPU servers can take advantage of this demand by providing specialized solutions for high-performance computing (HPC) applications, such as GPU-as-a-service platforms, cloud-based GPU services, and dedicated GPU servers. In addition to giving businesses scalable GPU resources, these customized services bring in money for the manufacturers through fees, subscriptions, or contracts.

Market Challenges:

The economies of scale provided by GPU manufacturers, most notably Nvidia, create a significant barrier to entry for manufacturers of data center GPU servers wishing to integrate backward. A company trying to backward integrate into the GPU production process, for example, would find it difficult to achieve equivalent economies of scale. This has an impact on the business's capacity to maintain overall competitiveness, engage in research and development, and match prices. As a result, it might be difficult for producers of data center GPU servers to achieve comparable economies of scale, which could limit their efficacy in the extremely competitive market. Additionally, a recurring problem for manufacturers of data center GPU servers is the continual innovation by GPU manufacturers, demonstrated by the ongoing development of GPUs, CPUs, and data processing units (DPUs).

Market Opportunities:

OpenAI's GPT-4, the latest and largest language model, is one specific real-time illustration of how GPU servers may help HPC and AI. It needed a lot of processing power to train on a huge dataset with over 1 trillion words. A significant contribution was made by GPU servers, more especially by Nvidia H100 Tensor Core GPUs, which sped up the training process up to 60 times faster than CPUs alone. Mixed-precision training was used to achieve this acceleration by optimizing both calculation performance and memory use. Because of this, GPT-4 might be trained in a few short weeks and accomplish cutting-edge results in challenges involving natural language processing.

Artificial intelligence (AI) and advanced analytics play a crucial role in smart cities as they optimize resource allocation, enhance public safety, and improve overall quality of life. Due to their suitability for AI and analytics workloads, GPU servers are becoming an essential part of the infrastructure for the development of smart cities.

Market Segmentation:

Segmentation by Application (End User)

Cloud Computing

HPC Application

Segmentation by Product (Configuration Type)

Single GPU

Dual to Quad GPU

High-Density GPU

Segmentation by Region

North America - U.S. and Rest-of-North America

Europe - Germany, France, Netherlands, Italy, Ireland, U.K., and Rest-of-Europe

Asia-Pacific - Japan, China, India, Australia, Singapore, and Rest-of-Asia-Pacific

Rest-of-the-World - Middle East and Africa and Latin America

Some prominent names established in this market are:

GPU Manufacturers

Nvidia Corporation (Nvidia)

Advanced Micro Devices, Inc. (AMD)

Intel Corporation (Intel)

Server GPU Manufacturers

Dell Inc.

Penguin Computing, Inc.

Exxact Corporation

Key Attributes:

Report Attribute


No. of Pages


Forecast Period

2023 - 2028

Estimated Market Value (USD) in 2023

$15.4 Billion

Forecasted Market Value (USD) by 2028

$61.7 Billion

Compound Annual Growth Rate


Regions Covered


Key Topics Covered:

1 Market1.1 Industry Outlook1.1.1 Ongoing Trends1.1.1.1 Timeline of GPU and Server Design Upgrades1.1.1.2 Data Center Capacities: Current and Future1.1.1.3 Data Center Power Consumption Scenario1.1.1.4 Other Industrial Trends1. HPC Cluster Developments1. Blockchain Initiatives1. Super Computing1. 5G and 6G Developments1. Impact of Server/Rack Density1.1.2 Equipment Upgrades and Process Improvements1.1.3 Adaptive Cooling Solutions for Evolving Server Capacities1.1.3.1 Traditional Cooling Techniques1.1.3.2 Hot and Cold Aisle Containment1.1.3.3 Free Cooling and Economization1.1.3.4 Liquid Cooling Systems1.1.4 Budget and Procurement Model of Data Center End Users1.1.5 Stakeholder Analysis1.1.6 Ecosystem/Ongoing Programs1.2 Business Dynamics1.2.1 Business Drivers1.2.1.1 Surging Demand for Cryptocurrency Mining1.2.1.2 Rising Enterprise Adoption of Data Center GPUs for High-Performance Computing Applications1.2.2 Business Challenges1.2.2.1 High Bargaining Power of GPU Manufacturers1.2.3 Market Strategies and Developments1.2.4 Business Opportunities1.2.4.1 Technological Advancement in High-Performing Computing (HPC) Government Support for Smart City Development and Digitalization1.3 Global Data Center GPU Market1.3.1 Market Size and Forecast1.3.1.1 Data Center GPU Market (by Application and Product)

2 Application2.1 Global AI and Semiconductors - A Server GPU Market (by Application)2.1.1 Global Server GPU Market (by End-Use Application)2.1.2 Global Server GPU Market (by Facility Type)

3 Products3.1 Global AI and Semiconductors - A Server GPU Market (by Product)3.1.1 Server GPU Market (by Configuration Type)3.1.2 Server GPU Market (by Form Factor)3.2 Pricing Analysis3.3 Patent Analysis

4 Region4.1 Global AI and Semiconductor - A Server GPU Market (by Region)

5 Markets - Competitive Benchmarking & Company Profiles5.1 Competitive Benchmarking5.2 Market Share Analysis5.2.1 By GPU Manufacturer5.2.2 By GPU Server Manufacturer5.3 Company Profiles

Nvidia Corporation

Advanced Micro Devices


Qualcomm Technologies

Imagination Technologies

ASUSTeK Computer


Huawei Technologies

Super Micro Computer

GIGA-BYTE Technology

Penguin Computing



Dell Inc.


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AI and Semiconductors - A Server GPU Market Analysis and Forecast, 2023-2028: Global AI and Server GPU Demand ... - Yahoo Finance UK

Google Cloud Narrows Gap With AWS in Revenue per Employee – The Information

As a pioneer in renting out cloud servers, Amazon Web Services has long generated far more revenue and profits than its rivals. But one rival, Google Cloud, has made up a lot of ground on AWS when it comes to a key measure of efficiencyrevenue per employee.

In the first three quarters of 2023, AWS generated around $580,000 per employee while Google Cloud generated around $460,000 per employee, according to calculations by The Information using previously undisclosed data. While those figures mean AWS generated 26% more revenue per employee than Google during that period, that gap was much bigger just a few years ago. During the first three quarters of 2019, AWS generated 67% more revenue per employee than Googles cloud unit.

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Google Cloud Narrows Gap With AWS in Revenue per Employee - The Information

Cloud Server Abuse Leads to Huge Spike in Botnet Scanning – OODA Loop

Netscout, a security solutions provider, recently reported that malicious actors are frequently using free cloud services to conduct botnet scanning activity. The company typically sees between 10,000 and 20,000 IP addresses conducting internet scans per day, but recent spikes in December exceeded 35,000 devices on multiple occasions. On January 5, this statistic jumped even tighter to 1.3 million IP addresses conducting internet scans. Netscout stated that malicious actors are using inexpensive cloud and hosting servers, as well as free trials, to assemble botnet launch pads that scan for zero-day vulnerabilities. This disturbing trend indicates a new wave of automated and efficient exploit reconnaissance. The majority of IPs that conducted internet scans came from the US, China, Taiwan, Russia, and Vietnam.

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Cloud Server Abuse Leads to Huge Spike in Botnet Scanning - OODA Loop