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Outlines of Machine Learning (ML) Platforms Market 2022 with Trends, Analysis by Regions, Type, Application Designer Women – Designer Women

July 1, 2022 | Author: admin

Machine Learning (ML) Platforms Market 2022-2026:

The Machine Learning (ML) Platforms market exhibits comprehensive information that is a valuable source of insightful data for business strategists during the decade 2016-2026. On the basis of historical data, Machine Learning (ML) Platforms market report provides key segments and their sub-segments, revenue and demand & supply data. Considering technological breakthroughs of the market Machine Learning (ML) Platforms industry is likely to appear as a commendable platform for emerging Machine Learning (ML) Platforms market investors.

The complete value chain and downstream and upstream essentials are scrutinized in this report. Essential trends like globalization, growth progress boost fragmentation regulation & ecological concerns. This Market report covers technical data, manufacturing plants analysis, and raw material sources analysis of Machine Learning (ML) Platforms Industry as well as explains which product has the highest penetration, their profit margins, and R & D status. The report makes future projections based on the analysis of the subdivision of the market which includes the global market size by product category, end-user application, and various regions.

Get Sample Report: https://www.marketresearchupdate.com/sample/182384

This Machine Learning (ML) Platforms Market Report covers the manufacturers data, including shipment, price, revenue, gross profit, interview record, business distribution, etc., these data help the consumer know about the competitors better.

Topmost Leading Manufacturer Covered in this report:Palantier, Microsoft, MathWorks, SAS, Databricks, Alteryx, H2O.ai, TIBCO Software, IBM, Dataiku, Domino, Altair, Google, RapidMiner, DataRobot, Anaconda, KNIME

Product Segment Analysis:

Cloud-basedOn-premises

On the Basis of Application:

Small and Medium Enterprises (SMEs)Large Enterprises

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Regional Analysis For Machine Learning (ML) PlatformsMarket

North America(the United States, Canada, and Mexico)Europe(Germany, France, UK, Russia, and Italy)Asia-Pacific(China, Japan, Korea, India, and Southeast Asia)South America(Brazil, Argentina, Colombia, etc.)The Middle East and Africa(Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)

The objectives of the report are:

To analyze and forecast the market size of Machine Learning (ML) PlatformsIndustry in theglobal market. To study the global key players, SWOT analysis, value and global market share for leading players. To determine, explain and forecast the market by type, end use, and region. To analyze the market potential and advantage, opportunity and challenge, restraints and risks of global key regions. To find out significant trends and factors driving or restraining the market growth. To analyze the opportunities in the market for stakeholders by identifying the high growth segments. To critically analyze each submarket in terms of individual growth trend and their contribution to the market. To understand competitive developments such as agreements, expansions, new product launches, and possessions in the market. To strategically outline the key players and comprehensively analyze their growth strategies.

View Full Report @ https://www.marketresearchupdate.com/industry-growth/global-machine-learning-ml-platforms-industry-182384

At last, the study gives out details about the major challenges that are going to impact market growth. They also report provides comprehensive details about the business opportunities to key stakeholders to grow their business and raise revenues in the precise verticals. The report will aid the companys existing or intend to join in this market to analyze the various aspects of this domain before investing or expanding their business in the Machine Learning (ML) Platforms markets.

NTU students to send machine learning software to International Space Station – The Straits Times

July 1, 2022 | Author: admin

SINGAPORE - Five Nanyang Technological University (NTU) students have achieved the next best thing to being on the International Space Station (ISS) - their machine learning software is going up to the home of astronauts for three months later this year.

The students will be running the show from their laptops - testing the software, which was built to predict hardware disruptions on the ISS, satellites or other spacecraft. Such disruptions can cause these space vehicles to go off course or crash, in the worst outcomes.

Called single event upsets, these hardware disruptions tend to afflict sensitive electrical components in space, such as memory devices on semiconductors.

The disruptions happen when highly charged particles from the sun or nearby constellations strike such sensitive electronics.

Energised solar particles tend to come from sunspots and large explosions from the sun's surface that release radiation.

"The space environment is very hostile towards electronic devices," said Mr Eng Chong Yock, 22, a first-year student at NTU's School of Electrical and Electronic Engineeringand one of the team members who built the software, called Cremer.

The students see the predictive solution software as their contribution to protecting the trove of space experiment data that is electronically stored in the ISS. The space station is a giant orbiting lab for astronauts to regularly conduct research in areas such as human health and growing crops in space, as well as biomedical studies.

Between 2000 and 2020, astronauts conducted nearly 3,000 experiments on the ISS.

NTU team member Archit Gupta, 20, a second-year student from the School of Computer Science and Engineering, said: "The purpose of the ISS is to collect experimental data, and if (single event upsets) happen, then the sanctity of the data gets compromised and the experiment is wasted."

Cremer was named after an existing software called Creme, which also addresses single event upsets.

Mr Gupta said: "We wanted to build a better version of it, and hence we named it Cremer."

The NTU team is getting to test its machine learning model in the ISS after it emerged as the champion at a competition earlier this month, which called upon tertiary students in South-east Asia and Taiwan to develop innovative ways to use artificial intelligence for space applications.

The competition, called AI Space Challenge, was organised by four space tech companies - including the home-grown Zenith Intellutions, a firm that provides consultancy services for advanced satellite development and related technologies.

The other members of the NTU team are third-year business student Sim See Min, 22, third-year mechanical engineering student Deon Lim, 24, and second-year electrical and electronic engineering student Rashna Ahmed, 21.

Ms Sim, who is specialising in analytics, said the team members complemented one another well.

She said: "Archit was more familiar with coding and algorithms. Chong Yock, Rashna and Deon are more familiar with electrical engineering and physics. I helped to add value during the pitching part of the competition."

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NTU students to send machine learning software to International Space Station - The Straits Times

Managed Cloud Hosting vs. Unmanaged Cloud Hosting: What is the Difference? – HackRead

July 1, 2022 | Author: admin

When cloud computing was first created in the early 1960s, nobody could even imagine that it would appear to be one of the most widespread technical solutions and a real breakthrough. In each sphere, its an outstanding part of various manufacturers all over the world.

Nevertheless, before deciding to transfer to the cloud, its crucial to choose the appropriate type of service that will fit all your requirements. So its time to see the main difference between managed vs unmanaged hosting.

Managed service will allow you to pay more attention to your business processes. While the unmanaged service will require you to spend a lot of force and time resources on your technical necessities successfully.

Before taking a final decision, we will try to find the key features and main contrasts between them.

Control level is one of the key features of the cloud host that differs if we are speaking about managed and unmanaged. Thus, Unmanaged can be compared to purchasing an empty apartment when you have to add all the furnishing and additional equipment later on your own. Such service is restricted to providing only a default structure. The customer has to load the apps on the cloud himself.

At the same time, managed servers are similar to a well-equipped flat. The seller considers all the needs and requirements of the buyer and supplies the space according to them. In this case, the customer is using customized solutions. They describe all the business necessities, and the provider chooses the best option.

Working with backups is a sphere where we also can see significant differences. While using unmanaged cloud servers, the client will decide on their own how frequent and how complex data backups have to be.

This may appear to receive more benefits, but there are still pitfalls. It can be potentially fallible when the user controls this process by himself. What to do in case software will be broken or hacked, and no recent data is saved? To prevent all these mishappenings, a lot of effort and company resources must be used, which certainly will affect stressfully in its regular operations.

On the opposite, in managed cloud hosting or managed cloud servers, the most responsibility for fulfilling critical backup necessities fully lies on your provider. They proceed with proper checkups to ensure a safe and unstoppable process. So you can devote much more sources to key operational processes that will lead to increasing resultative indicators.

In case an organization hires an outside service, the thought that first appears is how cost-efficient it will be.

If you take unmanaged hosting, you will surely be free of any extra payments that can appear by your requests. Thats a great opportunity for young companies who strongly desire not to spend huge sums on the first steps. Still, in case they dont have their profession and qualified IT team to uphold and control their cloud storage, its essential to hire it.

You wont meet the necessity to substitute a hire such team in case you switch on to the managed cloud. The provider will take all the responsibility both for regular checkups and maintaining the server. Subscription for these options, however, is usually rather expensive, especially for a newly-created company

According to the statistics, the majority of data failures, nearly 90%of all cases, happen because of human mistakes. So this will be true to claim that managed hosting wins the competition if we are speaking about keeping cloud data safe.

The provider proposes experienced specialists to manage these tasks. With the help of the latest modern technology solutions, they check the system regularly, find out its weaknesses and successfully eliminate them.

Comparing this point, an unmanaged technical solution may not be so safe and more subject to potential safety threats.

Just downloading and installing the special safety software can be not as sufficient as it may be to protect your system fully as you may not have the required technical skills to choose the better security options. Choosing the appropriate safety plan is another key point to pay special attention to and due to lack of experience this may turn into a real problem.

All the above-mentioned can make your data potentially available for hackers attacks.

The last point is that you will get unsurpassed customer guidance and support while choosing managed cloud. While in an unmanaged one you will just be provided the servers opportunities. You will have to proceed by yourself with all the apps, and configurations and establish all the safety activities. In case the customer faces any technical troubles you will have to manage it yourself or transfer authority to the hired team and be sure that they are available 24/7.

All this also requires considerable time, which certainly will double your organizational load. Switching to a managed service implies getting rid of these unwanted issues related to work. The hosting provider guarantees that you will be offered all day and night technical guidance for any type of issue as well as premium services such as continuous supervision, automatic upgrades, permanent checkups, and quick problem-solving.

All these points described above show that unmanaged service allows you to act more by yourself, to have more personal control and responsibility but still its quite complicated to supervise and will require a lot of time. While in the opposite option you will be completely free from managing all the technical troubles that you may face as you will be given a full complex of supporting services and can devote more time to your direct business needs.

Blockchain and its Cloud Computing Needs – CXOToday.com

July 1, 2022 | Author: admin

Blockchain technology has been a disruptive force in the era of digital transformation. According toStatista Research, worldwide spending on blockchain solutions is expected to grow to $19 billion USD by 2024.

While blockchain has gained notoriety through cryptocurrency, the technology is used by many businesses across industries. In a recentTechRepublic Researchstudy, 64% of professionals said that they expect blockchain to affect their industry in some way, with most expecting the impact to be positive. Blockchain is an extremely complex area of technology that is constantly evolving and changing becauseblockchains are built on thousands of nodes and new nodes are constantly being added to a chain, they require a huge amount of aggregate computer power to support. Mr. Raman Sharma, VP-Product Marketing at DigitalOcean in a discussion withCXOTodayshares his detailed insights on the same.

A blockchain is essentially a database system that uses blocks to store data in a decentralized way. These blocks of data are stored on thousands of distributed nodes, which run on servers or other machines with computing power. When cloud computing is integrated with blockchain technology, it provides advanced solutions to address challenges in cloud computing relating to decentralization, data privacy, and network security. Blockchain technology is used in cloud computing, allowing users to outsource their computing needs. Blockchain could change the way cloud computing works due to its decentralized nature. So, users access the Internet and perform peer-to-peer calculations without relying on servers or other infrastructure. It is also beneficial for cloud storage as it helps in keeping the data secure and tamper-proof.

Whether or not to adopt blockchain for your startup is not just a technical decision but a business decision. As a founder, its important not to get bogged down in hype but to diligently analyze its potential from a business perspective even in cases where a well-defined problem exists. While the unique properties of blockchain have forced startup founders to think of it as essential and transformative technology, the primary consideration should define your aims for blockchain implementation. When researching a cloud provider for your blockchain business, consider CPU considerations, uptime considerations, scalability considerations, and ease of use considerations.

While blockchain aids in providing more transparency by creating a decentralized and distributed trust model, it is important to assess the ROI that will come from its implementation.

Companies planning to move their workloads to the cloud must use digital principles and capabilities to not only leverage the cloud but also to overcome the risk of business uncertainty to refocus on changing business models. Choosing the right technology stack becomes important not only because it will last the duration of a business but also because it will bring benefits by allowing us to build and maintain applications on time. Therefore, the stack one chooses should be strong, flexible, and scalable.

The components need to work together to achieve the desired results, both on the front end and back end of the application. While the stack can vary from business to business, organizations should start with server and cloud computing services, operating systems, programming languages, database management systems, and performance monitoring services.

Blockchain developers have many roles and responsibilities. They may be responsible for the blockchain network, the applications running on that network, or a combination of both. They can also participate in designing blockchain networks and applications, analyzing existing systems, and evaluating new technologies. But the critical skills required are:

As your blockchain network grows, chains also grow naturally over time. Destroying and creating servers to complete chain growth would be significantly disruptive. Therefore, one should consider choosing a cloud provider that enables them to resize servers. Since blockchain services often need to expand in response to demand, consider choosing a cloud partner that provides a transparent pricing model, and helps you understand what the costs are for different levels of demand.

We understand that blockchain businesses need reliable, cost-effective computing solutions that can scale quickly as and when needed. Therefore, we provide all the infrastructure solutions needed for blockchain builders, from compute to managed Kubernetes. Our Droplets are the perfect solution for blockchains businesses wanting to get started quickly on a flexible cloud hosting solution. We have a simple and easy-to-use API and CLI, making it easy to scale automatically as the blockchain grows.

We also provide a vast library of in-depth documentation and tutorials to ensure that people have all the knowledge they need to build and host their own blockchain business and help them get their networks up and running in minutes.

DigitalOceans simple, low-cost Droplet virtual machines have proven to be an excellent match for the needs of blockchain businesses. We have companies in various industries leveraging DigitalOceans cloud services to run their blockchain networks and serve thousands of users around the globe.

AWS, Azure, or Other? Platforms That Pay Developers the Most. – Dice Insights

July 1, 2022 | Author: admin

If youre going to spend a lot of time learning a particular tool or platform, you want it to pay off. In the context of developer and cloud platforms, though, its often difficult to tell which will prove truly profitable in the long term.

The latest edition of Stack Overflows annual Developer Survey asked its respondents which technologies paid them the most. When you isolate their answers by platform, you can see that some of the most popular ones (such as Amazon Web Services) also yield the biggest paychecks:

Those salary figures (drawn from 28,873 responses) include salaries, bonuses, and perks before the inevitable taxes and deductions. What can we draw from these rankings?

Colocation is the practice of renting out space within an established datacenter for ones servers and storage. Colocation saves businesses the effort and expense of maintaining an actual datacenter facility (or an on-premises server area); you rent the rack space and bring your own servers. Its a complicated enterprise, which is why related skills are in demand (and lucrative).

Meanwhile, AWS remains an intensely lucrative cloud platformmore so than its popular competitors in the space, including Microsoft Azure, Google Cloud, and cloud offerings from Oracle and IBM. Many businesses rely on AWS for pretty much everything cloud-related, a situation that seems likely to change anytime soon. (Microsoft Azure has been gaining ground among customers, though, with Google Cloud coming in third.)

As with so many other things in tech, it all comes down to mastery. If you know the nuances of a platform (and its updates), youll be valuable to any organization that relies on that platform in some way. And that, in turn, can lead to significant compensationespecially if the platform is complex, specialized and/or used by only a relatively small number of companies.

Membership has its benefits. Sign up for a free Dice profile, add your resume, discover great career insights and set your tech career in motion. Register now

The Worldwide Data Center Liquid Cooling Industry is Expected to Reach $6.4 Billion by 2027 – Yahoo Finance

July 1, 2022 | Author: admin

Company Logo

Global Data Center Liquid Cooling Market

Dublin, July 01, 2022 (GLOBE NEWSWIRE) -- The "Global Data Center Liquid Cooling Market by Component (Solution and Services), End User (Cloud Providers, Colocation Providers, Enterprises, and Hyperscale Data Centers), Data Center Type, Type of Cooling, Enterprise and Region - Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.

The global data center liquid cooling market will rise from USD 2.1 billion in 2022 to USD 6.4 billion by 2027 at a CAGR of 24.8% from 2022 to 2027.

Need for efficient, noise-free, and compact cooling solutions will aid market growth. This market is also likely to be boosted by the need for higher processing power, low operating expenditure and emergence of advanced technologies such as blockchain, cryptocurreny mining, artificial intelligence and machine learning.

The services, in by component segment is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

The services segment include different aspects like consulting, designing, installation, deployment, servicing and maintenance of liquid cooling solutions. As the user data grows in the coming years, there will be an increased demand for data centers and subsequently different services that are associated with liquid cooling solutions.

Small and mid-sized data center, in by data center type segment, is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

The small and mid-sized data centers occupy a space up to 25,000 square feet and primarily used by small to medium enterprises. These facilities are also easy to retrofit liquid cooling solutions and hence will observe a higher adoption rate during the forecast period.The hyperscale data center in the data center liquid cooling market, is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

Hyperscale data centers are business critical infrastructure for large companies such as Amazon, Google, Facebook, and others. These facilities have a high computing capacity and as a result also require better cooling solutions to maintain ambient operating temperature.

IT and Telcom segment of the data center liquid cooling market, is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

IT and Telecom segment is projected to grow at highest CAGR during the forecast period. The growth in this sector is due to the adoption of new technologies such as virtual and augmented reality, 5G, IoT, artificial intelligence, deep learning and machine learning. Emergence of 5G edge computing applications and private cellular networks is likely to drive the market for data center liquid cooling in IT and Telecom sector.Cold plate liquid cooling, of the data center liquid cooling market, is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

Cold plate liquid cooling responsible for transferring heat from surfaces with high heat loads to the fluid used within a liquid cooling system. It also enhances data center energy efficiency , lowers the total costs, is more energy-efficient and produces less noise.

Asia Pacific data center liquid cooling market is projected to grow at the highest CAGR during the forecast period of 2022 to 2027

Asia Pacific is expected to be the fastest-growing market for data center liquid cooling market during the forecast period. The growth of the data center liquid cooling in this region is due to increasing demand for cloud applications. There is a strong shift towards cloud technologies, with various organizations across Asia Pacific, as cloudification delivers real business value, enabling organizations to be faster, leaner and better at delivering for their customers.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights4.1 Attractive Market Opportunities in Data Center Liquid Cooling Market4.2 Data Center Liquid Cooling Market, by Region4.3 North America Data Center Liquid Cooling Market, by Component and Country4.4 Data Center Liquid Cooling Market: Major Countries

5 Market Overview5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Increasing Number of Data Centers and Server Density5.2.1.2 Growing Need for Energy-Efficient Cooling Solutions5.2.1.3 Increasing Demand for Compact and Noise-Free Solutions5.2.1.4 Need for Better Overclocking Potential5.2.1.5 Need for Eco-Friendly Data Center Cooling Solutions5.2.2 Restraints5.2.2.1 Susceptibility to Leakage5.2.2.2 High Capital Expenditure and Maintenance5.2.2.3 Slow Recognition from End-users5.2.3 Opportunities5.2.3.1 Emergence of Ai, Blockchain, and Other Advanced Technologies5.2.3.2 Adoption in Low-Density Data Centers5.2.4 Challenges5.2.4.1 Lack of Standardization5.2.4.2 High Investments in Existing Infrastructure5.3 Porter's Five Forces Analysis5.3.1 Bargaining Power of Suppliers5.3.2 Bargaining Power of Buyers5.3.3 Threat of Substitutes5.3.4 Threat of New Entrants5.3.5 Intensity of Competitive Rivalry5.4 Key Stakeholders & Buying Criteria5.4.1 Key Stakeholders5.4.2 Buying Criteria

6 Industry Trends6.1 Value Chain Analysis6.2 Ecosystem/Market Map of Data Center Liquid Cooling Solutions6.3 Trends and Disruptions Impacting Customer's Business6.4 Energy Sustainability for Data Centers6.4.1 Sustainable Data Centers Using Liquid Cooling6.4.2 Issues in Developing Countries6.4.3 Case Study6.5 Case Study Analysis6.5.1 Asperitas and Itrenew Partner to Bring Sustainable, Plug-And-Play Data Center Solutions Full Circle6.5.2 Reduction in Data Center Energy Spending by Adopting Immersion Cooling6.5.3 Microsoft Chose Immersion Cooling Tech by Liquidstack for Its Cloud Servers6.5.4 Google Shifts to Liquid Cooling for Ai Data Crunching6.6 Key Conferences & Events in 2022-20236.7 Patents Analysis6.7.1 Introduction6.7.2 Insights6.8 Technology Analysis6.9 Regulatory Landscape6.9.1 Regulatory Bodies, Government Agencies, and Other Organizations6.9.2 US6.9.3 Europe6.9.4 China6.9.5 Japan6.9.6 India6.9.7 Singapore6.9.8 Open Compute Project (Ocp) - a Standard for Data Center Buildings6.10 Impact of COVID-19 on Data Center Liquid Cooling Market6.10.1 Introduction6.10.1.1 Impact of COVID-19 on Lives and Livelihood6.10.1.2 Economic Outlook6.10.1.3 Impact of COVID-19 on Data Center Liquid Cooling Market

7 Data Center Liquid Cooling Market, by Component7.1 Introduction7.2 Solutions7.2.1 Indirect Liquid Cooling7.2.1.1 Growing Demand for Precision Cooling to Drive Segment Growth7.2.1.2 Single Phase7.2.1.3 Two Phase7.2.2 Direct Liquid Cooling7.2.2.1 Growing Demand for High-Density Cooling to Fuel Growth of Direct Liquid Cooling7.2.2.2 Single Phase7.2.2.3 Two Phase7.3 Services7.3.1 Design and Consulting7.3.1.1 Growing Demand for Consulting Services for Liquid Cooling Systems to Drive Market7.3.2 Installation and Deployment7.3.2.1 Increasing Need for Integration with Traditional Cooling Devices7.3.3 Support and Maintenance7.3.3.1 Growing Demand for Maintenance of Coolants to Propel Growth of Support and Maintenance Services

8 Data Center Liquid Cooling Market, by Data Center Type8.1 Introduction8.2 Small and Mid-Sized Data Centers8.2.1 Growing Need for Indirect Liquid Cooling Solutions to Drive Demand for Small and Mid-Sized Data Centers8.3 Large Data Centers8.3.1 Growing Requirement for Direct Liquid Cooling in Large Data Centers

9 Data Center Liquid Cooling Market, by End-user9.1 Introduction9.2 Cloud Providers9.2.1 Increasing Demand for Cloud Services to Drive Market9.3 Colocation Providers9.3.1 Availability of Low-Cost, Disaster-Proof Systems Contributing to Higher Adoption9.4 Enterprises9.4.1 Rapid Deployment Capabilities to Drive Adoption of Data Centers in Enterprises9.5 Hyperscale Data Centers9.5.1 Requirement for Scalable Cooling Solutions to Increase Adoption in Hyperscale Data Centers

10 Data Center Liquid Cooling Market, by Enterprise10.1 Introduction10.2 Bfsi10.2.1 Focus on Lowering Energy Consumption to Drive Sector10.3 It and Telecom10.3.1 Growing Adoption of Advanced Servers to Drive Market10.4 Media and Entertainment10.4.1 Requirement for Scale-Out Solutions to Drive Adoption of Data Center Liquid Cooling Solutions10.5 Healthcare10.5.1 Growing Demand for Customized Data Center Cooling Solutions to Drive Their Adoption in Healthcare10.6 Government and Defense10.6.1 Growing Digitalization Initiatives to Increase Adoption of Data Center Liquid Cooling Solutions10.7 Retail10.7.1 Increased Need for Robust Cooling to Drive Adoption of Data Center Liquid Cooling Solutions10.8 Research and Academia10.8.1 Adoption of High-Performance Computing to Drive Market Growth10.9 Others

11 Data Center Liquid Cooling Market, by Type of Cooling11.1 Introduction11.2 Cold Plate Liquid Cooling11.2.1 High-Density Data Center Installation to Drive Demand for Cold Plate Liquid Cooling11.3 Immersion Liquid Cooling11.3.1 Low Carbon Footprint Through Immersion Liquid Cooling to Drive this Segment11.4 Spray Liquid Cooling

12 Data Center Liquid Cooling Market, by Region

13 Competitive Landscape13.1 Overview13.2 Key Player Strategies13.3 Revenue Analysis13.3.1 Revenue Analysis of Top Players in Data Center Liquid Cooling Market13.4 Market Share Analysis: Data Center Liquid Cooling13.5 Competitive Landscape Mapping, 202013.5.1 Star13.5.2 Emerging Leaders13.5.3 Pervasive13.5.4 Participants13.6 Competitive Benchmarking13.6.1 Strength of Product Portfolio13.6.2 Business Strategy Excellence13.7 Sme Matrix, 202013.7.1 Progressive Companies13.7.2 Dynamic Companies13.7.3 Responsive Companies13.7.4 Starting Blocks13.8 Key Market Developments

14 Company Profiles14.1 Asetek14.2 Vertiv Holdings Co.14.3 Fujitsu Limited14.4 Submer14.5 Green Revolution Cooling Inc.14.6 Rittal14.7 Schneider Electric14.8 Alfa Laval Ab14.9 Midas Green Technologies14.1 Liquidstack14.11 Chilldyne14.12 Iceotope Technologies Limited14.13 Coolit Systems14.14 Asperitas14.15 Dug Technology14.16 Liquidcool Solutions Inc.14.17 Dcx - the Liquid Cooling Company14.18 Stulz GmbH14.19 Other Companies14.19.1 Aspen Systems Inc.14.19.2 Engineered Fluids14.19.3 Aquila14.19.4 Exascaler Inc.14.19.5 Cooler Master14.19.6 Liqit.Io14.19.7 Teimmers14.19.8 Sixtyonec Technology Corporation14.19.9 Usystems Limited14.19.10 Ebullient14.19.11 Koolance

15 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/l47nrc

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The Worldwide Data Center Liquid Cooling Industry is Expected to Reach $6.4 Billion by 2027 - Yahoo Finance

NVIDIA Teams With HPE to Take AI From Edge to Cloud – Nvidia

July 1, 2022 | Author: admin

Enterprises now have a new option for quickly getting started with NVIDIA AI software: the HPE GreenLake edge-to-cloud platform.

The NVIDIA AI Enterprise software suite is an end-to-end, cloud-native suite of AI and data analytics software. Its optimized to enable any organization to use AI, and doesnt require deep AI expertise.

Fully supported by NVIDIA, the software can be deployed anywhere, from the data center to the cloud. And developers can use the cloud-native platform of AI tools and frameworks to streamline development and deployment and quickly build high-performing AI solutions.

With NVIDIA AI Enterprise now available through HPE GreenLake in select countries, IT is relieved from the burden of building the infrastructure to run AI workloads. Organizations can access the NVIDIA AI Enterprise software suite as an on-prem cloud service from HPE, reducing the risk, duration, effort and cost for IT staff to build, deploy and operate an enterprise AI platform.

NVIDIA AI Enterprise is deployed on NVIDIA-Certified HPE ProLiant DL380 and DL385 servers running VMware vSphere with Tanzu. HPE GreenLake enables customers to acquire NVIDIA AI Enterprise on a pay-per-use basis, with the flexibility to scale up or down, and tailor to their needs. The software is fully supported by NVIDIA, ensuring robust operations for enterprise AI deployments.

HPE ProLiant DL380 and DL385 servers are optimized and certified with NVIDIA AI Enterprise software, VMware vSphere with Tanzu and NVIDIA A100 and A30 Tensor Core GPUs to deliver performance that is on par with bare metal for AI training and inference workloads.

Customers can select from predefined packages for training or inference workloads. Packages include NVIDIA AI Enterprise software, NVIDIA Ampere architecture GPUs, VMware vSphere with Tanzu, as well as all setup, installation and configuration, including:

With HPE management services to monitor and manage infrastructure and public clouds, IT can free up resources for more strategic projects. Customers can also take advantage of HPEs optional AI advisory and solutioning workshops, including AI use case design, implementation, testing and deployment.

The HPE GreenLake platform provides enterprises with centralized control and insights to manage resources, costs and capacity across their on-premises and cloud deployments with a secure, self-service provisioning and management via a common control pane.

Get immediate, short-term, remote access to try NVIDIA AI Enterprise now with NVIDIA LaunchPad. The program gives AI practitioners, data scientists and IT admins immediate access to NVIDIA AI with free hands-on labs featuring AI-powered chatbots, image classification and more.

NVIDIA is a platinum sponsor at HPE Discover, running June 28-30 in Las Vegas. Visit NVIDIA at the AI Pavilion at booth 202 to learn more about HPE GreenLake with NVIDIA AI Enterprise, as well as the latest AI solutions for industries from select NVIDIA AI Accelerated software partners.

NVIDIA will be presenting a special session on Wednesday, June 29 at 9 a.m. Pacific join to learn more and Boldly Unleash AI from Edge to Cloud and Everywhere in Between.

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NVIDIA Teams With HPE to Take AI From Edge to Cloud - Nvidia

Dell Technologies ranks #1 in the Indian x86 mainstream server market for the third consecutive quarter – CXOToday.com

July 1, 2022 | Author: admin

News Summary

Dell Technologies (NYSE: DELL) emerged as the leader in Indias x86 mainstream server market in Q1 2022 with an industry share of 44.9%, the highest share achieved in mainstream servers. According to the IDC Worldwide Quarterly Server Tracker Q1 2022, June 2022 release Dell Technologies has crossed the 40% mark for the third consecutive quarter in India, continuing a strong leadership position in the x86 mainstream server segment. Additionally, Dell Technologies also revealed strong growth momentum for its storage business, retaining a #1 rank in India with an industry share of 26.2

We are thrilled to announce that Dell Technologies has once again been recognized as an industry leader in servers and storage, demonstrating that our solutions resonated very strongly with our customers in India,said Mr. Manish Gupta, Vice President and General Manager, Infrastructure Solutions Group, Dell Technologies India. With the uptake in the adoption of technologies like cloud computing, virtualization, and big data, businesses need to deploy advanced servers that form the foundation of modern age IT architecture, running multi-workloads from the edge to core to the cloud.

Highlighting the commitment of Dell Technologies to businesses in India, Manish Gupta further added, Through our server and storage solutions, we also help organizations meet the challenges of the digital world with a secure infrastructure that supports a full range of modern workloads and objectives.

Dell Technologies holistic server portfolio provides exceptional performance, simplified management, intelligent automation and enhanced security designed to address the demands of the modern data center. The Dell PowerEdge portfolio excels in building block rack servers and small footprint tower servers for customers in India. These support business-critical and advanced workloads to help organizations innovate, adapt, and grow. Designed with office-friendly acoustics and thermals, these servers are ideal for use inside datacenters, and edge environments.

The servers are supported by Dell OpenManage software that delivers automation and intelligent infrastructure management, helping businesses save time on routine maintenance. Dell Technologies server offerings cut across a broad range of customer requirements, from SMBs to large enterprises, addressing the varied and complex needs of the modern data center.

Dell Technologies is also a global leader in enterprise data storage solutions and provides a portfolio of advanced data storage technology for modern and legacy applications. Designed for a variety of data sets including unstructured, semi-structured and structured data Dell Technologies solutions provide a variety of I/O characteristics and service level agreements that enable IT teams to choose the optimal balance of performance, cost and flexibility.

Dell PowerStore and PowerMax storage remains a key priority area for Dell Technologies in the country. To boost Dell Technologies presence in the HCI segment, PowerFlex and VxRail will be significant drivers towards achieving leadership.

About Dell Technologies

Dell Technologies(NYSE:DELL)helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industrys broadest and most innovative technology and services portfolio for the data era.

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Dell Technologies ranks #1 in the Indian x86 mainstream server market for the third consecutive quarter - CXOToday.com

Inspur Information AI Servers with NVIDIA A100 Tensor Core GPUs Maintain Top Ranking in Single-Node Performance in MLPerf Training v2.0 Global AI…

July 1, 2022 | Author: admin

SAN JOSE, Calif.--(BUSINESS WIRE)--The open engineering consortium MLCommons released the latest MLPerf Training v2.0 results, with Inspur AI servers leading in closed division single-node performance.

MLPerf is the worlds most influential benchmark for AI performance. It is managed by MLCommons, with members from more than 50 global leading AI companies and top academic institutions, including Inspur Information, Google, Facebook, NVIDIA, Intel, Harvard University, Stanford University, and the University of California, Berkeley. MLPerf AI Training benchmarks are held twice a year to track improvements in computing performance and provide authoritative data guidance for users.

The latest MLPerf Training v2.0 attracted 21 global manufacturers and research institutions, including Inspur Information, Google, NVIDIA, Baidu, Intel-Habana, and Graphcore. There were 264 submissions, a 50% increase over the previous round. The eight AI benchmarks cover current mainstream usage AI scenarios, including image classification with ResNet, medical image segmentation with 3D U-Net, light-weight object detection with RetinaNet, heavy-weight object detection with Mask R-CNN, speech recognition with RNN-T, natural language processing with BERT, recommendation with DLRM, and reinforcement learning with MiniGo.

Among the closed division benchmarks for single-node systems, Inspur Information with its high-end AI servers was the top performer in natural language processing with BERT, recommendation with DLRM, and speech recognition with RNN-T. It won the most titles among single-node system submitters. For mainstream high-end AI servers equipped with eight NVIDIA A100 Tensor Core GPUs, Inspur Information AI servers were top ranked in five tasks (BERT, DLRM, RNN-T, ResNet and Mask R-CNN).

Continuing to lead in AI computing performance

Inspur AI servers continue to achieve AI performance breakthroughs through comprehensive software and hardware optimization. Compared to the MLPerf v0.5 results in 2018, Inspur AI servers showed significant performance improvements of up to 789% for typical 8-GPU server models.

The leading performance of Inspur AI servers in MLPerf is a result of its outstanding design innovation and full-stack optimization capabilities for AI. Focusing on the bottleneck of intensive I/O transmission in AI training, the PCIe retimer-free design of Inspur AI servers allows for high-speed interconnection between CPUs and GPUs for reduced communication delays. For high-load, multi-GPU collaborative task scheduling, data transmission between NUMA nodes and GPUs is optimized to ensure that data I/O in training tasks is at the highest performance state. In terms of heat dissipation, Inspur Information takes the lead in deploying eight 500W high-end NVIDIA Tensor Core A100 GPUs in a 4U space, and supports air cooling and liquid cooling. Meanwhile, Inspur AI servers continue to optimize pre-training data processing performance, and adopt combined optimization strategies such as hyperparameter and NCCL parameter, as well as the many enhancements provided by the NVIDIA AI software stack, to maximize AI model training performance.

Greatly improving Transformer training performance

Pre-trained massive models based on the Transformer neural network architecture have led to the development of a new generation of AI algorithms. The BERT model in the MLPerf benchmarks is based on the Transformer architecture. Transformers concise and stackable architecture makes the training of massive models with huge parameters possible. This has led to a huge improvement in large model algorithms, but necessitates higher requirements for processing performance, communication interconnection, I/O performance, parallel extensions, topology and heat dissipation for AI systems.

In the BERT benchmark, Inspur AI servers further improved BERT training performance by using methods including optimizing data preprocessing, improving dense parameter communication between NVIDIA GPUs and automatic optimization of hyperparameters, etc. Inspur Information AI servers can complete BERT model training of approximately 330 million parameters in just 15.869 minutes using 2,850,176 pieces of data from the Wikipedia data set, a performance improvement of 309% compared to the top performance of 49.01 minutes in Training v0.7. To this point, Inspur AI servers have won the MLPerf Training BERT benchmark for the third consecutive time.

Inspur Information's two AI servers with top scores in MLPerf Training v2.0 are NF5488A5 and NF5688M6. The NF5488A5 is one of the first servers in the world to support eight NVIDIA A100 Tensor Core GPUs with NVIDIA NVLink technology and two AMD Milan CPUs in a 4U space. It supports both liquid cooling and air cooling. It has won a total of 40 MLPerf titles. NF5688M6 is a scalable AI server designed for large-scale data center optimization. It supports eight NVIDIA A100 Tensor Core GPUs and two Intel Ice Lake CPUs, up to 13 PCIe Gen4 IO, and has won a total of 25 MLPerf titles.

About Inspur Information

Inspur Information is a leading provider of data center infrastructure, cloud computing, and AI solutions. It is the worlds 2nd largest server manufacturer. Through engineering and innovation, Inspur Information delivers cutting-edge computing hardware design and extensive product offerings to address important technology sectors such as open computing, cloud data center, AI, and deep learning. Performance-optimized and purpose-built, our world-class solutions empower customers to tackle specific workloads and real-world challenges. To learn more, visit https://www.inspursystems.com.

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Inspur Information AI Servers with NVIDIA A100 Tensor Core GPUs Maintain Top Ranking in Single-Node Performance in MLPerf Training v2.0 Global AI...

Cloud Backup and Recovery Market Size to Grow by USD 14.59 billion | Hewlett Packard Enterprise Co. and International Business Machines Corp. Among…

July 1, 2022 | Author: admin

Segmentation by End-user (In-Scope/Out-of-Scope)

The market vendors should focus on grabbing business opportunities from the ICT segment under the end-users category, as it accounted for the largest market growth share in the base year. The growth of the segment is driven by factors such as the increasing demand for the digitalization of the core business processes.

To gain further insights into the market contribution of various segments, Request a sample

Vendor Insights-

The cloud backup and recovery market is fragmented, and the vendors are deploying growth strategies such as focusing on product and service extensions, technological innovations, and M&As to compete in the market. Some of the key vendors operating in the market include Acronis International GmbH, Asigra Inc., Commvault Systems Inc., Hewlett Packard Enterprise Co., International Business Machines Corp., Microsoft Corp., Rackspace Technology Inc., Redstor, Veeam Software Group GmbH, and Veritas Technologies LLC among others. The key offerings of some of the vendors are listed below:

Find additional highlights on the vendors and their product offerings.Download aSample Report

Learn More about Key Driver & Challenge of the Market-

The expenditure of IT firms on infrastructure procurement and maintenance is increasing. This raises the operational cost of firms. Cloud backup and recovery can help organizations reduce the maintenance cost, as well as system upgrades, software patching, and other operation-related functions of an IT department.The increased adoption of these solutions enables organizations to reduce the maintenance cost, as well as system upgrades, software patching, and other operation-related functions of an IT department.

Latency in data transmission during the retrieval of information from the public cloud infrastructure is a major challenge. Distributed computing, virtualization, and prioritizing traffic are some of the major causes of latency. The delay in data transfer can lead to an increase in cost for users of multiple cloud service providers. Thus, latency in the cloud network can hamper the adoption of cloud backup and recovery solutions during the forecast period.

Find additional information about various other market Drivers & Challenges mentioned in our sample report.

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Cloud Backup And Recovery Market Scope

Report Coverage

Details

Page number

120

Base year

2020

Forecast period

2021-2025

Growth momentum & CAGR

Accelerate at a CAGR of 17.07%

Market growth 2021-2025

USD 14.59 billion

Market structure

Fragmented

YoY growth (%)

16.55

Regional analysis

North America, Europe, APAC, South America, and MEA

Performing market contribution

North America at 33%

Key consumer countries

US, Canada, UK, China, and Germany

Competitive landscape

Leading companies, Competitive strategies, Consumer engagement scope

Key companies profiled

Acronis International GmbH, Asigra Inc., Commvault Systems Inc., Hewlett Packard Enterprise Co., International Business Machines Corp., Microsoft Corp., Rackspace Technology Inc., Redstor, Veeam Software Group GmbH, and Veritas Technologies LLC

Market dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Table of Contents

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by End-user

6 Customer landscape

7 Geographic Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

ContactTechnavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: [emailprotected]Website: http://www.technavio.com/

SOURCE Technavio

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Cloud Backup and Recovery Market Size to Grow by USD 14.59 billion | Hewlett Packard Enterprise Co. and International Business Machines Corp. Among...

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Dell Technologies ranks #1 in the Indian x86 mainstream server market for the third consecutive quarter – CXOToday.com

Inspur Information AI Servers with NVIDIA A100 Tensor Core GPUs Maintain Top Ranking in Single-Node Performance in MLPerf Training v2.0 Global AI…

Cloud Backup and Recovery Market Size to Grow by USD 14.59 billion | Hewlett Packard Enterprise Co. and International Business Machines Corp. Among…

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