Guide on How to Use E2E Cloud Servers More Efficiently

January 27, 2021

In an attempt to find access and download files from a server, cloud servers prove as an effective solution where it offers the ability to access the files from any remote location and a gadget. Cloud servers have made its place in every business, as it offers the most suitable solution for online data storage.

Need for Cloud servers

With conventional hard drives, there were many persisting issues like storage capacity limit, more exposure to files getting corrupted, and the offline storage costs. The issues were resolved through the implementation of cloud servers effectively. Cloud servers have made the process of sharing files and resources a secure and hassle-free process. All businesses and IT professional industries are inclined towards having a digital servers space to ensure never losing out on important data. All of this comes with a guarantee that the contents of the servers would be encrypted for maintaining privacy and ensuring safety against any hardware failure.

The global cloud computing market is aimed to cross the $330 Billion mark by the end of 2020

E2E has been a household name in the Indian market providing cloud computing solutions to businesses and SMEs. It has helped provide effective solutions to more than 10,000 customers actively using the platform. E2E has been successful in serving its customers with superior performance at affordable costs with bankable customer service.

What are the Different Types of Cloud servers Offered at E2E?

There is a wide range of cloud solutions offered at E2E, developed by understanding the market scenario and the customer requirements be it GPU cloud server, VPS and windows cloud servers, or any other solution.

  • CPU Intensive Computing C2- Series

This product is a perfect fit for businesses looking to expand their reach and reduce their downtime to a negligible rate with high performance and considerably high server space. Infused with the latest set of Intel processors, the C2 series will ensure heavy data operating applications.

  • C2 series with Red hat enterprise Linux

C2 series offers high performance to compute instances capable of supporting high IOPS and memory for website applications. This helps to compute high computing-based workloads to improvise on performance and without any downtime. The red hat enterprise is of the very recent offerings and top-ranked in the public cloud environments.

  • High Memory Cloud

Offering a cloud disk space of 225 GB SSD, the 2nd generation memory focussed plans are more inclined towards providing sufficient RAM support for the websites to maintain prolonging customer satisfaction.

  • Windows Cloud

Windows cloud hosting is one of the most affordable and opted services. At E2E, we offer numerous ranges of features offered at different price ranges to help you find your most suited solution.

  • Windows SQL Cloud

The SQL cloud is a perfect fit for windows operated systems as they are configured to support database workloads. It helps you adjust to the website’s needs and increase the capacity and the servers to ensure that there is no effect on the website application and the processes operated on it.

  • Plesk Windows Cloud

Plesk is an innovative control panel that helps ease the management process with a Graphic User Interface (GUI). This feature comes pre-installed on the windows cloud servers. It proves as a viable solution to enterprising reseller platforms and online stores to support the applications on Windows.

  • GPU Smart Dedicated

Built with the integration of the Nvidia T4, Tesla V100 and NVIDIA A100, it ensures that the upcoming and improving sectors like machine learning and artificial intelligence would not be limited by hardware support. The GPU based web cloud solution would help configure the visualization process with the combination of unbeatable performance for professional workflow requirements.

  • Linux Smart Dedicated

Offered at the lowest hourly rates, the smart, dedicated cloud servers solution aims to increase the performance of the machine learning processes and eliminate the effects of CPU steal along with customized automation to numerous backups, ensuring the safety and security of your data. The dedicated server offers an interactive API to give the managing ability of the machines via programming code.

  • cPanel Linux Cloud

Web hosting services have increased exponentially due to the rise in demand for online stores and learning management systems. cPanel cloud server comes with full root access and licensing for optimized security and with no additional cost. The customized solutions are offering a security tool to ensure website application safety and a plugin that will help with the onboarding of any other additional applications required on the website.

All the solutions offered by E2E are affordable and stored locally on Indian data centers, configured with high frequency for optimum performance characteristics. All the web hosting and cloud solutions are configured towards the optimization and smooth working of plugins and high data-based applications.

After understanding the types of solutions offered, the important aspect revolves around choosing the right cloud servers solution for your needs.

  • Look for plans that go beyond servers and offer excellent customer support

Cloud servers solutions though easy to operate, but on the back end, require extensive support from the service providers to ensure that the business owners are not affected in any way.

E2E ensures that the customers are justified for their services and providing them a great experience overall.

We help you understand and offer the best suitable plans for your needs with a personal touch to ensure that the user experience does not arise any conflict and look for solutions that are more focused on online and offline support.

  • Sync data across multiple devices

Secure servers or server windows VPS, all solutions are provided by E2E as cloud servers eliminate the need for syncing devices. All your data is being uploaded on the server mainframe, giving them the freedom to access the server from any device.

E2E cloud computing systems also facilitate the use of real-time collaboration that helps multiple users make changes for a file simultaneously. This is a great solution for project management and multitasking scenarios.

Close to 90% of the IT-based organizations have their database online on the cloud today, and more than 30% of the revenue stream of such companies are spent towards cloud handling and management services.

  • Using tools that facilitate cloud servers for better accessibility

Cloud-based applications have registered a staggering growth of 46%

The applications, when shared and installed on online servers, provide instant access to the data, which can be retrieved from any local connection or a mobile device. It comes with an easy-to-use user interface that helps make this process simplistic and features the ability to drag and drop files to be saved to the server's drive.

  • Keep data encrypted

Encrypted data ensures that even if data is misplaced or tampered with, it is useless and almost impossible to break into. The encryption process involves encoding the data before being uploaded to the server, which can only be accessed by the authorized user from an encrypted connection. The need for encryption equipped products is quite serious. The cloud encryption market alone is worth $2401 million by 2022.

  • Conduct performance analysis and implement continuous monitoring

With constant performance evaluation of your servers plan, it helps to keep track of all the attributes that the plan was designed to offer. It shows the areas requiring attention and improvement statistics to increase the server’s response time and overall quality.

  • Make sure to evaluate additional features and use auto-scaling

While taking up on a server's plan, make sure to have an understanding of all the features and functionalities for better perception. E2E helps potential customers by explaining each feature on a deeper level and connecting with their products.

With the help of auto-scaling, users can identify the amount and capacity of the computational resources that are measured in terms of server status. It helps to identify the traffic scenario on the web page application and ensures that the cloud can handle the current traffic demand.

  • Opt for automation-based control systems

Cloud servers work like clockwork. It finishes the ongoing job at hand and then carries out the other uploading processes. There are times when multiple users are accessing the servers platform. This increases the time.

The data optimization and restructuring methods are implemented in automation to make proper use of the servers space and services.

  • Retention period of data and value criteria

There are different policies implemented on different plans that provide a retention period of one week to one year. Before subscribing to a plan make sure to go through the server's retention period.

Define the duration time as per requirement and replace the existing policy to ensure you have the full benefit of the cloud service.

Windows cloud hosting or cloud servers have their servers API console, and so does E2E provide support on meeting the compliance standards and save your time.

  • Optimize cost and expenditures

Cloud servers are used to optimize costs and expenditures incurred to sustain the website and web page applications. If the current servers plan is not sufficient, the service plan should always cater to the possibility of modifying the services offered.

Comparing SSD-based Cloud Servers with HDD-based Cloud Server

SSD-based servers can read sequential data up to 550 Mbps, whereas HDD can perform at 125 Mbps in terms of writing speed.

SSD has been outperforming conventional hard drives as they offer high reliability, less and effective power usage with proper streamlining of processes. SSD does not cater to dropping variable seek time or latency issues, as HDD slots require to write NAND cells, their writing speeds are increased and consumes high power.


The aging process is quite slow in terms of SSD servers, where the servers can last easily close to a decade compared to HDD, which facilitates three to five years of working time. It is due to the absence of rotating parts that increase the endurance and enhance data integrity of SSD type, and data remains intact in SSD even when there is no power supply.

There is a downside to the SSD drives as they have a finite number of writes until it requires to be replaced. There are close to 3,000 write cycles on an average before breakdown. As HDD is built for writing data 24/7, they have comparatively more durability but also require more maintenance.

Power usage

While choosing a cloud plan, there has to be a proper research analysis done to rectify the needs and expectations that need to be satisfied from a cloud servers solution. Power usage is an essential deciding factor to weigh out the additional costs that go into maintaining the servers.

HDD drives tend to generate more heat due to their writing capacity, increasing overall power usage. SSD performs better because of its idle state and has a considerably low consumption rate.


HDDs are preferred mainly due to being cost-effective but fighting to compete against the server space SSD offers. The lower costs offered with large HDDs have competed against the new range of SSD with medium capacities. The cost is marginally dependent on the needs and budget capacity of a business.

SSD proves to be the most viable option in terms of durability and writing speeds, and overall performance over time. SSD also offers an excellent reduction in server load and processing time.


Businesses and individuals must have a good look at the product range and decide the solutions that are best suited for their needs. No matter the size requirement, everyone needs a cloud-based solution as it holds a lot of potentials and provides a gateway to better communication and integration.

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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:,product%20on%20the%20right%20platform.

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:


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. 


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


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. 


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.



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. 


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.




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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.

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