5 Amazing Facts about High-Performance Servers in E2E

November 16, 2020

E2E network has launched a public cloud named E2E cloud. The E2E cloud is born in India, and its focus is on Indian companies that are in dire need of a cost-effective and flexible cloud network. With the presence of E2E Cloud, many Indian SMEs, and startups like Zomato, Healthkart, Clovia, NiYo, Junglee Games have shaped their businesses well. 

E2E cloud is the result of decades of passion and experience of its creators. Indian entrepreneurs have been trusting in E2E cloud infrastructure since 2009. One of the major reasons behind the immense popularity of E2E cloud is its high-performance servers. 

5 Crucial High-Performance E2E Servers Facts

Let’s discuss the five amazing facts about high-performance E2E Cloud servers you’d be glad to know: -

Fact 1: It takes only a few minutes to launch a server on E2E portal 

Yes, you heard it right. It only takes you a few minutes to launch the server from the E2E Cloud portal. 

The E2E Cloud portal is a 24x7 self-service portal where launching a server can take place within a minute. The user interface of the E2E Cloud portal is straightforward to operate, and any user without prior efficiency can create a server on their own. 

All you must do is log in to the Myaccount portal of E2E Cloud platform. Once you enter this platform, you can view the products section and find nodes under that section. Next, you need to click on the ‘Create Node’ option. 

You can now view different types of server alternatives and select anyone depending on your requirements. Afterwards, you will need to select your node name. You can also enable a backup option for your node. Next, you need to run your node, and it’s ready. The high-performance servers of E2E Cloud are available in few minutes. 

Fact 2: E2E Cloud have option of Smart Dedicated Compute servers 

Are you wondering if dedicated and smart dedicated compute servers are different from each other? Yes, they are. 

A dedicated server is nothing but a physical device without the presence of any hardware virtualization. The servers of E2E Cloud are different from that. Every server of E2E Cloud is a virtual machine that is associated with a physical machine. 

Each smart dedicated compute of E2E Cloud can host unlimited websites. Nevertheless, it is recommended to check if the website one is hosting is running desirably or not. If you opt for the smart dedicated compute servers of the E2E Cloud, you can get a pre-installed cPanel® along with WHM® Access. That’s like getting a bonus, isn’t it? 

Fact 3: The Smart Dedicated Compute (SDC) of E2E Cloud is different from Cloud VPS 

The SDC server that E2E Cloud offers is different from a Cloud VPS. VPS is a virtual device imitated on a dedicated host with assistance from a hypervisor like KVM. If we’re talking about the cloud infrastructure, more than one VPS is easily accommodated by a single dedicated host. It is also notable that RAM, CPU, and storage are shared across different VPS. 

Nevertheless, using a VPS may not always be convenient for your website. The VPS users often complain about resource congestion which leads to the poor performance of their websites. You won’t face these risks with E2E Cloud’s high-performance servers. That’s because they have pinned dedicated cores, dedicated RAM and dedicated storage.

SDC server is a virtual device indeed. However, what sets an SDC server apart is that it has dedicated resources. Hence, by using a single VM, you can access all the required resources. This is the reason why E2E Cloud servers never fail to showcase high performance. 

If you’re planning to migrate your VPS workload to the SDC of E2E Cloud, it is possible. The process is simple and similar to switching from one VPS to another. 

Fact 4: E2E Cloud offers high-performance Windows and Linux smart dedicated compute servers on a value-based pricing model 

E2E Cloud is one of those few cloud services that offer high-performance Windows and Linux SDC. This cloud categorizes its SDC plans depending on three factors: high-frequency server plans, Double SDC server plans, and Large disk space server plans. This segregation has been done based on potential customers’ requirements. They can select the plan of their requirement. 

Both Windows and Linux dedicated compute can offer you as low as 2-minutes provisioning. Also, backing up necessary datasets is only a click away. You can also save machine images depending on your needs. 

For Windows and Linux SDC services, E2E Cloud will charge you on an hourly basis. You’ll be charged on a value basis. Some users also opt for the monthly pricing option. The monthly pricing is estimated with a presumed 730 hours per month. 

Organizations that are not sure about their hourly requirements go for the monthly plans. The monthly charge may vary depending on the number of days in a month. The amounts are also subject to 18% GST. 

Fact 5: E2E has launched cPanel & WHM Integrated Linux cloud servers that come with Softaculous and Imunify360

E2E Cloud has recently launched a cloud server that is integrated by cPanel and WHM. If you didn’t know about this E2E Cloud server, it’s time you gain more information. Wondering why you should go for a cPanel cloud server? Here’s why. The security policy of this server is top-notch. In fact, Imunify360 manages the privacy of this cloud environment and provides complete malware protection. 

The cPanel cloud of E2E also comes with quick deployment features. With only a single click, you can install over 450 apps in your server. This is possible due to its Softaculous plugin. Further, E2E won’t charge you anything separately as it is part of your plan. The cPanel cloud server can also give you a high-frequency and seamless performance. 

With the cPanel, you don’t need to worry about backing-up your data as well. Once you enable the automated data backup option, all your datasets will be backed-up regularly, and you can recover the required datasets whenever you need it. E2E has different Indian data centres. So, for the Indian SMEs, the localization benefit is huge. This also accounts for the high performance of the cPanel cloud. 

Many organizations are required to install additional IP addresses to their sites, and the cPanel Cloud can help you with that as well. Nevertheless, E2E charges you additional costs for these IP addresses. The cPanel cloud also comes with high instances of memory. It would help if you chose the M series nodes to avail of this benefit. This feature also works well for many customers. 

If you need to take machine images frequently for creating replicas, cPanel cloud can be a great choice for you. It lets you take as many snapshots as you want to create the replicas depending on your demands. There are also pre-installed PHP modules within the cPanel cloud. This makes it easier to start working with a new server for a user. 

You can get cPanel cloud for an optimized price range. You’ll get whatever you pay for. The plans start from INR 2330/month. The cPanel services are affordable for everyone and offer good value for money. 

Final Words 

E2E cloud network is one of the most trusted Indian cloud platforms. The popularity of this cloud is increasing rapidly, and it’s time you start knowing more. In this article, we have described the high-performance servers of the E2E cloud. 

Did you know that the E2E cloud comes with SDC? Or did you know that E2E offers Windows and Linux servers? Did you have any idea that the E2E cloud has recently launched a high-performance and secured cPanel cloud server? 

We’re sure you’ll gain some new facts about the E2E cloud after reading this article. Any questions? Contact our experts to know more about the E2E cloud and get the right services for your team.

For free trial please click here :- http://bit.ly/3hyNiWB

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This is a decorative image for Project Management for AI-ML-DL Projects
June 29, 2022

Project Management for AI-ML-DL Projects

Managing a project properly is one of the factors behind its completion and subsequent success. The same can be said for any artificial intelligence (AI)/machine learning (ML)/deep learning (DL) project. Moreover, efficient management in this segment holds even more prominence as it requires continuous testing before delivering the final product.

An efficient project manager will ensure that there is ample time from the concept to the final product so that a client’s requirements are met without any delays and issues.

How is Project Management Done For AI, ML or DL Projects?

As already established, efficient project management is of great importance in AI/ML/DL projects. So, if you are planning to move into this field as a professional, here are some tips –

  • Identifying the problem-

The first step toward managing an AI project is the identification of the problem. What are we trying to solve or what outcome do we desire? AI is a means to receive the outcome that we desire. Multiple solutions are chosen on which AI solutions are built.

  • Testing whether the solution matches the problem-

After the problem has been identified, then testing the solution is done. We try to find out whether we have chosen the right solution for the problem. At this stage, we can ideally understand how to begin with an artificial intelligence or machine learning or deep learning project. We also need to understand whether customers will pay for this solution to the problem.

AI and ML engineers test this problem-solution fit through various techniques such as the traditional lean approach or the product design sprint. These techniques help us by analysing the solution within the deadline easily.

  • Preparing the data and managing it-

If you have a stable customer base for your AI, ML or DL solutions, then begin the project by collecting data and managing it. We begin by segregating the available data into unstructured and structured forms. It is easy to do the division of data in small and medium companies. It is because the amount of data is less. However, other players who own big businesses have large amounts of data to work on. Data engineers use all the tools and techniques to organise and clean up the data.

  • Choosing the algorithm for the problem-

To keep the blog simple, we will try not to mention the technical side of AI algorithms in the content here. There are different types of algorithms which depend on the type of machine learning technique we employ. If it is the supervised learning model, then the classification helps us in labelling the project and the regression helps us predict the quantity. A data engineer can choose from any of the popular algorithms like the Naïve Bayes classification or the random forest algorithm. If the unsupervised learning model is used, then clustering algorithms are used.

  • Training the algorithm-

For training algorithms, one needs to use various AI techniques, which are done through software developed by programmers. While most of the job is done in Python, nowadays, JavaScript, Java, C++ and Julia are also used. So, a developmental team is set up at this stage. These developers make a minimum threshold that is able to generate the necessary statistics to train the algorithm.  

  • Deployment of the project-

After the project is completed, then we come to its deployment. It can either be deployed on a local server or the Cloud. So, data engineers see if the local GPU or the Cloud GPU are in order. And, then they deploy the code along with the required dashboard to view the analytics.

Final Words-

To sum it up, this is a generic overview of how a project management system should work for AI/ML/DL projects. However, a point to keep in mind here is that this is not a universal process. The particulars will alter according to a specific project. 

Reference Links:

https://www.datacamp.com/blog/how-to-manage-ai-projects-effectively

https://appinventiv.com/blog/ai-project-management/#:~:text=There%20are%20six%20steps%20that,product%20on%20the%20right%20platform.

https://www.datascience-pm.com/manage-ai-projects/

https://community.pmi.org/blog-post/70065/how-can-i-manage-complex-ai-projects-#_=_

This is a decorative image for Top 7 AI & ML start-ups in Telecom Industry in India
June 29, 2022

Top 7 AI & ML start-ups in Telecom Industry in India

With the multiple technological advancements witnessed by India as a country in the last few years, deep learning, machine learning and artificial intelligence have come across as futuristic technologies that will lead to the improved management of data hungry workloads.

 

The availability of artificial intelligence and machine learning in almost all industries today, including the telecom industry in India, has helped change the way of operational management for many existing businesses and startups that are the exclusive service providers in India.

 

In addition to that, the awareness and popularity of cloud GPU servers or other GPU cloud computing mediums have encouraged AI and ML startups in the telecom industry in India to take up their efficiency a notch higher by combining these technologies with cloud computing GPU. Let us look into the 7 AI and ML startups in the telecom industry in India 2022 below.

 

Top AI and ML Startups in Telecom Industry 

With 5G being the top priority for the majority of companies in the telecom industry in India, the importance of providing network affordability for everyone around the country has become the sole mission. Technologies like artificial intelligence and machine learning are the key digital transformation techniques that can change the way networks rotates in the country. The top startups include the following:

Wiom

Founded in 2021, Wiom is a telecom startup using various technologies like deep learning and artificial intelligence to create a blockchain-based working model for internet delivery. It is an affordable scalable model that might incorporate GPU cloud servers in the future when data flow increases. 

TechVantage

As one of the companies that are strongly driven by data and unique state-of-the-art solutions for revenue generation and cost optimization, TechVantage is a startup in the telecom industry that betters the user experiences for leading telecom heroes with improved media generation and reach, using GPU cloud online

Manthan

As one of the strongest performers is the customer analytics solutions, Manthan is a supporting startup in India in the telecom industry. It is an almost business assistant that can help with leveraging deep analytics for improved efficiency. For denser database management, NVIDIA A100 80 GB is one of their top choices. 

NetraDyne

Just as NVIDIA is known as a top GPU cloud provider, NetraDyne can be named as a telecom startup, even if not directly. It aims to use artificial intelligence and machine learning to increase road safety which is also a key concern for the telecom providers, for their field team. It assists with fleet management. 

KeyPoint Tech

This AI- and ML-driven startup is all set to combine various technologies to provide improved technology solutions for all devices and platforms. At present, they do not use any available cloud GPU servers but expect to experiment with GPU cloud computing in the future when data inflow increases.

 

Helpshift

Actively known to resolve customer communication, it is also considered to be a startup in the telecom industry as it facilitates better communication among customers for increased engagement and satisfaction. 

Facilio

An AI startup in Chennai, Facilio is a facility operation and maintenance solution that aims to improve the machine efficiency needed for network tower management, buildings, machines, etc.

 

In conclusion, the telecom industry in India is actively looking to improve the services provided to customers to ensure maximum customer satisfaction. From top-class networking solutions to better management of increasing databases using GPU cloud or other GPU online services to manage data hungry workloads efficiently, AI and MI-enabled solutions have taken the telecom industry by storm. Moreover, with the introduction of artificial intelligence and machine learning in this industry, the scope of innovation and improvement is higher than ever before.

 

 

References

https://www.inventiva.co.in/trends/telecom-startup-funding-inr-30-crore/

https://www.mygreatlearning.com/blog/top-ai-startups-in-india/

This is a decorative image for Top 7 AI Startups in Education Industry
June 29, 2022

Top 7 AI Startups in Education Industry

The evolution of the global education system is an interesting thing to watch. The way this whole sector has transformed in the past decade can make a great case study on how modern technology like artificial intelligence (AI) makes a tangible difference in human life. 

In this evolution, edtech startups have played a pivotal role. And, in this write-up, you will get a chance to learn about some of them. So, read on to explore more.

Top AI Startups in the Education Industry-

Following is a list of education startups that are making a difference in the way this sector is transforming –

  1. Miko

Miko started its operations in 2015 in Mumbai, Maharashtra. Miko has made a companion for children. This companion is a bot which is powered by AI technology. The bot is able to perform an array of functions like talking, responding, educating, providing entertainment, and also understanding a child’s requirements. Additionally, the bot can answer what the child asks. It can also carry out a guided discussion for clarifying any topic to the child. Miko bots are integrated with a companion app which allows parents to control them through their Android and iOS devices. 

  1. iNurture

iNurture was founded in 2005 in Bengaluru, Karnataka. It provides universities assistance with job-oriented UG and PG courses. It offers courses in IT, innovation, marketing leadership, business analytics, financial services, design and new media, and design. One of its popular products is KRACKiN. It is an AI-powered platform which engages students and provides employment with career guidance. 

  1. Verzeo

Verzeo started its operations in 2018 in Bengaluru, Karnataka. It is a platform based on AI and ML. It provides academic programmes involving multi-disciplinary learning that can later culminate in getting an internship. These programmes are in subjects like artificial intelligence, machine learning, digital marketing and robotics.

  1. EnglishEdge 

EnglishEdge was founded in Noida in 2012. EnglishEdge provides courses driven by AI for getting skilled in English. There are several programmes to polish your English skills through courses provided online like professional edge, conversation edge, grammar edge and professional edge. There is also a portable lab for schools using smart classes for teaching the language. 

  1. CollPoll

CollPoll was founded in 2013 in Bengaluru, Karnataka. The platform is mobile- and web-based. CollPoll helps in managing educational institutions. It helps in the management of admission, curriculum, timetable, placement, fees and other features. College or university administrators, faculty and students can share opinions, ideas and information on a central server from their Android and iOS phones.

  1. Thinkster

Thinkster was founded in 2010 in Bengaluru, Karnataka. Thinkster is a program for learning mathematics and it is based on AI. The program is specifically focused on teaching mathematics to K-12 students. Students get a personalised experience as classes are conducted in a one-on-one session with the tutors of mathematics. Teachers can give scores for daily worksheets along with personalised comments for the improvement of students. The platform uses AI to analyse students’ performance. You can access the app through Android and iOS devices.

  1. ByteLearn 

ByteLearn was founded in Noida in 2020. ByteLean is an assistant driven by artificial intelligence which helps mathematics teachers and other coaches to tutor students on its platform. It provides students attention in one-on-one sessions. ByteLearn also helps students with personalised practice sessions.

Key Highlights

  • High demand for AI-powered personalised education, adaptive learning and task automation is steering the market.
  • Several AI segments such as speech and image recognition, machine learning algorithms and natural language processing can radically enhance the learning system with automatic performance assessment, 24x7 tutoring and support and personalised lessons.
  • As per the market reports of P&S Intelligence, the worldwide AI in the education industry has a valuation of $1.1 billion as of 2019.
  • In 2030, it is projected to attain $25.7 billion, indicating a 32.9% CAGR from 2020 to 2030.

Bottom Line

Rising reliability on smart devices, huge spending on AI technologies and edtech and highly developed learning infrastructure are the primary contributors to the growth education sector has witnessed recently. Notably, artificial intelligence in the education sector will expand drastically. However, certain unmapped areas require innovations.

With experienced well-coordinated teams and engaging ideas, AI education startups can achieve great success.

Reference Links:

https://belitsoft.com/custom-elearning-development/ai-in-education/ai-in-edtech

https://www.emergenresearch.com/blog/top-10-leading-companies-in-the-artificial-intelligence-in-education-sector-market

https://xenoss.io/blog/ai-edtech-startups

https://riiid.com/en/about

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