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ASI Alliance expands with fourth member pending community vote

Cudos joins the ASI Alliance pending a community vote, potentially enhancing its decentralized AI and cloud computing capabilities.

The Artificial Superintelligence (ASI) Alliance, recently formed by SingularityNET, Fetch.ai, and Ocean Protocol, has announced the addition of a fourth member.

According to a press release shared with Cointelegraph, Cudos, a decentralized cloud computing provider, will be added to the Alliance pending community approval.

The addition of this fourth member will be decided by a vote scheduled for Sept. 19-24, and if approved, the integration will feature a token merger between Cudos and the Alliance’s FET token.

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AWS CEO Predicts AI to Transform Software Developer Roles

AWS CEO Predicts AI to Transform Software Developer RolesIn a leaked recording from an internal meeting, Amazon Web Services CEO Matt Garman discussed the evolving role of software developers in the age of artificial intelligence (AI). Garman suggested that AI could soon take over many coding tasks, urging developers to focus on innovation and customer needs rather than the mechanics of writing code. […]

Avalanche of Institutional Money Continues Into Crypto Products With $3,200,000,000 in Inflows: CoinShares

Huawei Aims to Drive AI Adoption in Africa With Data Center Expansion

Huawei Aims to Drive AI Adoption in Africa With Data Center ExpansionChinese tech giant Huawei says it will leverage its experience to help African customers. The company aims to achieve this by providing storage products and services to manage data. Huawei will also offer cloud services to support African businesses. According to the company, data centers are the new digital hubs. However, they must be faster, […]

Avalanche of Institutional Money Continues Into Crypto Products With $3,200,000,000 in Inflows: CoinShares

CleanSpark mined 445 Bitcoin in June, surpasses hashrate target

CleanSpark CEO Zach Bradford said his firm has set its sights on increasing future hashrate instead of branching out to alternative revenue streams.

Bitcoin miner CleanSpark increased its Bitcoin production by 6.7% in June and surpassed its mid-year hashrate target of 20 exahashes per second (EH/s).

The United States-based miner only sold 8 of the 445 Bitcoin (BTC) it mined in June, bringing its total Bitcoin holdings to 6,591 BTC as of June 30, worth more than $4 billion at current prices.

In a July 2 statement, CleanSpark CEO Zach Bradford said that the firm’s hashrate now stands at 20.4 EH/s — more than double what it was in December 2023.

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Avalanche of Institutional Money Continues Into Crypto Products With $3,200,000,000 in Inflows: CoinShares

Northern Data Mulls US Market AI Entity IPO at up to $16 Billion Valuation

Northern Data Mulls US Market AI Entity IPO at up to  Billion ValuationNorthern Data, a European cloud computing, artificial intelligence (AI), and bitcoin mining company, is reportedly mulling going public in U.S. markets. The company would be in talks to complete its initial public offering (IPO) in 2025, creating an entity combining its AI cloud computing and data center divisions. This new entity would have a valuation […]

Avalanche of Institutional Money Continues Into Crypto Products With $3,200,000,000 in Inflows: CoinShares

Decentralized Cloud Computing Altcoin Explodes After Korea’s Biggest Crypto Exchange Announces Support

Decentralized Cloud Computing Altcoin Explodes After Korea’s Biggest Crypto Exchange Announces Support

A decentralized cloud computing altcoin is soaring after Korea’s biggest crypto exchange announced support for the digital asset. Akash Network (AKT) shot up Tuesday from a low of $4 to a high of $6.74, a more than 68% increase after crypto exchange Upbit announced support. At time of writing, AKT has retraced slightly to $5.30 and […]

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A brief history of the internet

Gain insights into the key milestones and trends that have shaped the internet into the global phenomenon it is today.

The internet has become an integral part of our daily lives, revolutionizing how we communicate, access information and conduct business. It has evolved over several decades, starting from humble beginnings as a research project and evolving into a global network that connects billions of people worldwide. This article presents a timeline of the Internet’s evolution, highlighting key milestones that have shaped its development.

The birth of ARPANET (1969)

The United States Department of Defense created the Advanced Research Projects Agency Network (ARPANET) in the late 1960s, which is when the internet first emerged. Thanks to ARPANET, research institutions and universities can communicate and share data more easily today. The first message sent via ARPANET on Oct. 29, 1969, was a crucial turning point in the development of the internet.

TCP/IP and the birth of the internet protocol suite (1970s)

The transmission control protocol/internet protocol (TCP/IP) is a protocol framework created in the 1970s that laid the groundwork for the current internet. TCP/IP offered a set of uniform guidelines for sending and receiving data packets across networks, allowing various kinds of computers and networks to communicate without any problems. This innovation gave rise to the internet protocol suite, which serves as the foundation of the internet.

Usenet and email’s development (1980s)

The internet saw considerable breakthroughs in communication technologies during the 1980s. During this period, email — a crucial element of contemporary online communication — was developed. It improved worldwide connectedness by enabling users to send and receive electronic messages through networks. A distributed discussion system called Usenet was also created, allowing users to participate in newsgroups and exchange information on a variety of subjects.

The World Wide Web (1990s)

With the creation of the World Wide Web (WWW), the 1990s were a transformative decade in the history of the internet. British computer scientist Tim Berners-Lee first proposed a system of linked hypertext documents accessible via the internet.

In 1991, the first web page was published, and by 1993, web browsers like Mosaic and Netscape Navigator had been created, making it more user-friendly to navigate the web.

The advent of search engines, such as Yahoo and Google, further improved online information discovery.

E-commerce and the dot-com boom (late 1990s)

The dot-com boom — a time of explosive growth and investment in internet-based businesses — occurred in the late 1990s. E-commerce flourished during this period, with big players in online retail emerging, like Amazon and eBay. Advancements in web technologies and the widespread use of secure online payment methods fueled the expansion of online shopping, revolutionizing the buying and selling of goods and services.

The emergence of Web2 and social media (Early 2000s)

Social networking websites and the idea of Web2 came into existence in the 2000s. MySpace, Facebook (now Meta) and Twitter, among other websites, transformed online communication by enabling users to set up accounts, exchange information, and connect with people all over the world.

Web2 promoted user-generated content, interaction, and collaboration, making the online experience more interactive and dynamic. Additionally, cloud computing emerged in the early 2000s, providing scalable, adaptable computing resources to individuals and companies.

Remote data storage, access to processing power and the capacity to host applications were all made available by services like Amazon Web Services (AWS) in 2006.

The rise of internet beyond late 2000s

The internet continues to evolve rapidly, with technological advancements, connectivity and the integration of digital services into our daily lives. Here’s a brief history of the internet beyond the late 2000s:

Mobile internet and the app revolution (2010s)

  • 2008: Apple’s App Store is launched, revolutionizing mobile app distribution.
  • 2010: The proliferation of smartphones and mobile devices leads to the rise of the mobile internet.
  • 2012: Google Play (formerly Android Market) was launched as the primary app store for Android devices.
  • Mobile applications offer a wide range of services, including communication, entertainment, productivity and e-commerce.

First commercial transaction using Bitcoin

  • 2010: The first commercial transaction using Bitcoin (BTC) occurred, marking a pivotal moment in internet history.
  • May 22, 2010: The date is commonly known as Bitcoin Pizza Day, when Laszlo Hanyecz exchanged 10,000 BTC for two pizzas, highlighting the potential of cryptocurrencies in real-world transactions. This event showcased the disruptive power of digital currency and its ability to revolutionize traditional financial systems.

Expansion of broadband and high-speed internet

  • Early 2010s: Broadband internet access continues to expand globally.
  • Improved online experiences, faster data transfers and the ability to stream high-definition content.

The rise of social networking and messaging apps

  • Late 2000s to early 2010s: Social networking platforms like Facebook and Twitter continue to dominate.
  • 2010–2013: Messaging apps like WhatsApp (2010), WeChat (2011) and Telegram (2013) gain popularity, providing real-time communication and sharing capabilities.

Cloud computing and storage

  • Early 2010s: Cloud computing becomes increasingly prevalent.
  • 2006: AWS offers scalable computing resources.
  • 2010: Microsoft Azure and Google Cloud Platform enter the market.
  • 2007–2012: Cloud storage services like Dropbox (2007) and Google Drive (2012) gain popularity, providing convenient file storage and synchronization.

Related: 7 real-world cloud computing examples to know

Internet of Things and connected devices

  • Late 2000s to present: The Internet of Things (IoT) has continued to grow since its inception in the late 2000s.
  • Smart home devices, wearable technology, and industrial applications gain momentum.
  • Interconnectivity enables automation, remote monitoring and data collection.

Streaming and on-demand entertainment

  • Late 2000s and ongoing: Streaming platforms transform the entertainment industry.
  • 2006: Amazon Prime Video was launched as Amazon Unbox.
  • 2007: Netflix introduces its streaming service.
  • 2008: Hulu launched a free, ad-supported streaming service, later introducing subscription-based plans. Spotify also introduced a music streaming service in the same year.
  • 2015: Apple Music gained popularity.
  • 2019: Disney+ gained popularity with its extensive library of Disney, Pixar, Marvel, Star Wars and National Geographic content.

Enhanced online security and privacy concerns

  • Ongoing concern: Online security and privacy have become more prominent issues.
  • High-profile data breaches and cyberattacks raise awareness about the importance of secure practices.
  • Encryption technologies, secure protocols and multifactor authentication have become important tools to protect user privacy and data integrity.

Artificial intelligence and machine learning

Related: 5 key features of machine learning

Expansion of 5G and next-generation networks

  • Late 2010s and ongoing: The deployment of fifth-generation (5G) networks expands.
  • 2019: Commercial deployment of 5G begins in select regions.
  • 5G promises faster speeds, lower latency and increased network capacity.
  • 5G enables emerging technologies like autonomous vehicles, virtual and augmented reality.

The rise of Web3

Gavin Wood, a co-founder of Ethereum, coined the term “Web3” in 2014, signaling a significant turning point in the internet’s development. Also, initiatives like Vitalik Buterin’s Ethereum, which offers smart contract functionality to develop decentralized applications (DApps), gained momentum. DApps, decentralized finance (DeFi) and nonfungible tokens (NFTs) all benefited from the development of a thriving ecosystem thanks to the Ethereum blockchain

The decentralized autonomous organization (DAO), known as The DAO, grabbed headlines in 2017 for its cutting-edge decentralized governance experiment. Despite its difficulties and weaknesses, it established the framework for the concept of group decision-making via blockchain-based platforms.

The idea of Web3 evolved over time, moving beyond Ethereum. Other blockchain platforms with distinct features and focuses, such as Polkadot, Solana and BNB Smart Chain, have also appeared. These platforms promoted a competitive environment for Web3 development by addressing scalability, interoperability and developer experience.

Web3 also includes self-sovereign identification, in which people are in charge of their personal data and can choose to share it with others they can trust. Sovrin, uPort and SelfKey are a few examples of decentralized identification protocols leading the way for a more user- and privacy-centric internet.

Growing demands for data privacy, ownership and transparency align with the emergence of Web3. Users are now more conscious of the value of their own data and the dangers of centralized platforms. By providing options that promote privacy and give users control over their digital lives, Web3 technology empowers people.

Additionally, Web3 has experienced rising popularity in the area of digital collectibles and art via NFTs. Blockchain technology has enabled these one-of-a-kind tokens to provide verifiable ownership and provenance for digital goods. This has revolutionized the art market, giving producers and collectors new opportunities.

With continued attempts to enhance scalability, usability and interoperability, Web3’s journey is far from over. As the movement picks up steam, it challenges the conventionally centralized paradigm of the internet, while imagining a future when users will have more sovereignty over their data, privacy and decision-making.

The future of the internet

The internet’s future is incredibly promising in terms of revolutionary developments. The internet will become increasingly ingrained in our lives due to the continued development of technologies like AI, 5G networks and the IoT, with faster, more dependable connectivity, enabling seamless communication and immersive experiences.

People will have more control over their data and online experiences in Web3 and decentralized technologies. Privacy and cybersecurity will become more and more crucial as the digital world develops, necessitating stronger security measures. The future of the internet is full of promise for innovation, connectivity and a digital environment open to all users.

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Microsoft pens AI cloud computing deal with former Ethereum miner CoreWeave: CNBC

The reported deal comes just a few days after CoreWeave announced an additional $200 million worth of funding via an extended Series B funding round.

Microsoft has reportedly signed a deal with former Ethereum miner CoreWeave to use its cloud computing infrastructure to support its Artificial Intelligence-powered services.

According to a June 1 report from CNBC which cites “people with knowledge of the matter,” Microsoft is potentially set to spend billions of dollars on the deal with CoreWeave that will run over multiple years.

One of CNBC’s sources claimed that the deal was signed earlier this year, as Microsoft OpenAI’s widely popular ChatGPT chatbot.

Amid the rapid growth of AI tech over the past 12 months Microsoft has rolled out several AI-powered services. A prime example is the GPT-4 integration with its web browsers Bing and Microsoft Edge, which the firm recently axed the waitlist on.

OpenAI also utilizes Microsoft's own cloud computing infrastructure Azure to handle its sizeable compute requirements.

CoreWeave initially started off as an Ethereum miner back in 2017, utilizing graphics processing units (GPUs) to verify transactions on Ethereum during its formative days as a proof-of-work blockchain.

The firm started pivoting its focus to cloud GPU computing around 2019, after spotting a hole in the market for competitively priced, scalable and varied compute options — something that it claimed legacy providers weren’t offering.

Notably, reports of the deal with Microsoft come just a few days after CoreWeave announced on May 31 that it had extended its $221 million Series B funding round from April to bring the total up to $421 million.

The Series B was led by Magnetar Capital, with participation from long-standing strategic partner NVIDIA.

The firm stated in April that the capital would be used to expand its cloud infrastructure which is focused on a wide range of computational workloads such as artificial intelligence, machine learning, visual effects and rendering, to name a few.

Related: Here’s how OpenAI plans to cleanse ChatGPT of false information

Commenting on the Microsoft deal via Twitter, Bitcoin advocate and Castle Island Ventures general partner Nic Carter highlighted the significance of the firm’s change of industry:

“Ppl make fun of ‘crypto to AI pivots’ but CoreWeave went from mining ETH to using their fleet to do compute for AI and now they're worth $2b+... one of the fastest growing companies in the world right now.”

Magazine: AI Eye: Make 500% from ChatGPT stock tips? Bard leans left, $100M AI memecoin

Avalanche of Institutional Money Continues Into Crypto Products With $3,200,000,000 in Inflows: CoinShares

Quantum vs. cloud computing: Key differences?

Quantum and cloud computing are the future of computer operations. Here’s what they are, their applications, and their main differences.

Will quantum computing replace cloud computing?

A new trend is emerging, with cloud-based quantum computing combining both technologies and their advantages and providing direct access to quantum computers via the web using the cloud.

While quantum computing will not replace the cloud anytime soon, Big Tech companies are working on integrating the two solutions to get the most out of both worlds. Such integration can facilitate remote access to quantum computers using the cloud and be available to a broader range of users. 

Cloud-based quantum computers can accelerate the pace of tech innovation, streamlining the work of researchers and developers who could access quantum hardware and computational resources via the cloud, leading to breakthroughs and discoveries faster.

A simple model for accessing a quantum processing unit (QPU) in the cloud

Businesses and individuals must overcome numerous challenges before being ready to integrate quantum and cloud computing. For instance, the complexity of accessing quantum computers and the expertise required to handle them make it challenging for the average person to use quantum solutions in the cloud. Another concern is security, as sensitive quantum algorithms must be safeguarded from unauthorized access or tampering, which is more prevalent in the cloud.

Quantum vs. cloud computing: Which is better?

Both solutions have benefits and drawbacks, and there is no winner between quantum and cloud computing. Eventually, they will be fully integrated to provide compelling and secure solutions for all kinds of businesses and individuals.

Before choosing between quantum and cloud computing, businesses must consider several factors such as cost, availability and specific requirements.

Quantum computing vs. Cloud computing

How does cloud computing work?

Cloud computing is hosted by specialized companies that maintain massive data centers to provide the necessary security, storage capacity and computing power for the support of the online infrastructure. 

Cloud services are accessible via an internet connection and computing devices such as smartphones, laptops or desktop computers. Users choose a cloud computing hosting company and pay for the rights to use their services. Such services include the infrastructure needed to facilitate communication between devices and programs, such as downloading a file on a user’s laptop that would be instantly synced on the same user’s iPhone file folder.

Cloud computing has a front end that enables users to access their stored data with an internet browser and a backend made of servers, computers, databases and central servers.

The central servers use specific protocols’ rules to facilitate operations and ensure smooth communication between the cloud-linked devices. 

Some of the available cloud hosting companies are foremost tech leaders such as Amazon Web Services, Microsoft Azure, Apple iCloud and Google Drive.

Advantages and disadvantages of cloud computing

Advantages:

  • Cloud computing allows businesses to scale their infrastructure on demand, which means they can quickly and easily add or remove servers as their needs change. This can help businesses handle sudden market demands without worrying about capacity constraints.
  • Cost-effectiveness for businesses as they do not need to invest in expensive hardware or software installations.
  • Cloud computing provides easy accessibility to data and applications from anywhere, as long as there is an internet connection. 

Disadvantages:

  • Security is still a concern for cloud computing due to its reliability on an internet connection, which can be vulnerable to hacking attacks. 
  • The high centralization of cloud servers means that services may go offline in specific locations during outages; even censorship resistance is compromised with centralized providers.

How does quantum computing work?

While a classical processor uses bits to process operations and conduct various programs, a quantum computer uses qubits to run multidimensional quantum algorithms.

Quantum computers utilize a variety of multidimensional algorithms to perform measurements and observations through qubits, which can represent 0 and 1 simultaneously. The processing power of such multidimensional spaces increases exponentially in proportion to the number of qubits added.

Quantum computers are smaller and require less energy than supercomputers, computers with a high level of performance as compared to general-purpose computers. A quantum processor is similar to the size of a laptop processor, while a quantum hardware system is made up mostly of cooling systems. 

Quantum computers are sensitive tools with high error rates, which are prevented by keeping the hardware at a very cold temperature, about a hundredth of a degree above absolute zero. Such cooling systems are defined as superfluids that must be able to extra-cool down the processors to create superconductors. 

Here, electrons can move through without resistance, generating quantum information more quickly and efficiently and creating complex multidimensional spaces proportional to the number of qubits added.

Advantages and disadvantages of quantum computing

Advantages:

  • Opportunities for several industries to develop and design advanced computer programs based on highly accurate, safe and efficient data 
  • Enhanced and unbreakable data encryption methods for better fraud detection and general security of sensitive data
  • Unprecedented data processing speed to manage vast amounts of data at once, which is impossible on conventional computers
  • Quantum computing can help in the development of new materials, medicines and chemicals by simulating complex molecular structures. 

Disadvantages:

  • Quantum computers are highly sensitive to external interference, such as temperature and electromagnetic radiation, which can affect the accuracy of the calculations.
  • Scarce availability and consequent lack of mass adoption don’t allow developers to assess quantum computers’ features and reliability properly
  • The requirement for a large amount of data to function correctly means businesses must invest in enormous data storage systems to accommodate quantum computers.

What is cloud computing?

Cloud computing — or “the cloud” — is an application-based software that distributes computing services throughout the internet, utilizing third-party servers, storage, databases, networking, software, analytics and intelligence to store and process data. 

Before cloud computing, businesses had to buy and maintain their own servers containing enough space to prevent downtime and outages and manage peak traffic volume. Still, a lot of server space often went unused, wasting money and resources. The cloud computing ecosystem allows organizations to employ a more efficient and cost-effective solution without requiring expensive hardware, private data centers or software installation, focusing on innovation, dynamic resources and economies of scale.

Cloud computing was invented in the 1960s but became more predominant in the 2020s when a more productive computing system was required to handle the challenges of organizations’ remote working that emerged during the pandemic. 

Thanks to cloud computing, many businesses can share services instantaneously at any time, other than managing, accessing, and storing data and applications remotely. Using the cloud, they benefit from scalable storage for files, applications and different types of information, saving time and money. 

What is quantum computing?

Quantum computing is a development of quantum mechanics, a discipline that covers the mathematical description of the properties of nature at the level of atomic and subatomic particles, such as electrons or photons. 

Quantum computing utilizes subatomic particles to turn computers into robust machines that can calculate and process data at a breakneck speed. They achieve extreme speed thanks to qubits (quantum bits) and their ability to exist simultaneously in one and zero states or any linear combination of the two. In contrast, conventional computers’ binary systems exist only with one (“on” or “true”) or zero (“off” or “false”) states. Qubits allow these particles to exist in multiple states simultaneously.

In other words, such an ability to live in both one and zero states at once enables quantum computers to process vast amounts of data simultaneously. This is impossible in binary-based computer systems that can only process one piece of information at a time.

Quantum computing emerged back in the 1980s when physicists Richard Feynman and Yuri Manin discovered that quantum theory and algorithms could be applied to computing with more efficient results than their classical counterparts.

Applied quantum computing is still in its infancy but will impact many industries, especially helping large organizations deal with enormous amounts of data faster and more efficiently.

Due to their ability to solve highly complex problems, such as processing huge amounts of data superfast or providing better prediction models in various fields, quantum computers could break existing encryption protocols, posing a threat to blockchain technology and cryptocurrencies

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7 real-world cloud computing examples to know

From streaming videos to cloud storage solutions, cloud computing has become an integral part of our everyday lives.

Cloud computing has become an important part of our lives, whether we realize it or not. Many of the services and applications we use on a daily basis, such as messaging and streaming music and video, are powered by cloud computing

Here are real-world cloud computing examples to know.

Netflix

Netflix uses cloud computing to provide streaming services to millions of users worldwide. By hosting its content on cloud servers, it can ensure reliable and scalable delivery to a global audience.

Netflix uses a variety of cloud computing services and technologies, including Amazon Web Services (AWS) and content delivery networks (CDNs). The majority of Netflix's cloud computing requirements, including storage, processing power and data management, are met by AWS. Netflix makes use of CDNs to guarantee that its users receive its content fast and consistently. To enable users to access the content from the closest location, CDNs keep copies of the content in many locations around the globe.

Slack

Slack is a cloud-based messaging and collaboration platform that allows teams to communicate and collaborate in real time. It utilizes cloud computing to provide scalability, reliability and accessibility to its users. Slack's cloud infrastructure allows it to support a large number of users and messages, and to provide seamless access to its platform from multiple devices and locations.

Slack runs on cloud-based architecture that is designed to be highly available and fault-tolerant. It uses multiple data centers to ensure that its services are always available, even in the event of a failure in one data center.

Salesforce

Salesforce provides customer relationship management (CRM) services through cloud computing. This allows businesses to manage customer data, automate workflows and streamline sales processes.

Salesforce cloud computing involves the use of a variety of cloud services and technologies, including:

  • Infrastructure as a service (IaaS): Salesforce employs IaaS companies like Microsoft Azure and AWS to supply the underlying infrastructure for its cloud-based platform.
  • Software as a service (SaaS): Salesforce offers its software products as an SaaS platform rather than as traditional software that must be installed on local devices.
  • Platform as a service (PaaS): To enable developers to create and distribute unique apps on the Salesforce platform, Salesforce also makes use of PaaS technologies like Force.com and Heroku.
  • Mobile computing: Salesforce also offers its users mobile apps that provide them access to their customer and sales data whenever and wherever they are.

Airbnb

Airbnb is a cloud-based platform for the sharing economy. Using Airbnb's website or mobile app, hosts may offer their properties for rent, and visitors can book such rentals. Massive amounts of data, including property listings, booking information and customer preferences, are stored and managed by Airbnb using cloud computing.

As a result, the platform can offer features like real-time availability and pricing, secure payment processing, and customized recommendations that make the experience easy for both guests and hosts.

Uber

Uber uses cloud computing to manage its ride-hailing platform, including real-time location tracking, trip routing and fare calculation. This allows the platform to provide fast and reliable transportation services, with features such as real-time payment processing and personalized ride options. Cloud computing also enables Uber to scale its services to meet demand, provide 24/7 support, and ensure the safety and security of riders and drivers.

Related: An overview of peer-to-peer ridesharing using blockchain

GitHub

GitHub is a cloud-based platform that provides hosting for software development and version control using Git. It allows developers to store and collaborate on code with their team members, manage project tasks and track changes to code over time.

While GitHub itself is not a cloud computing platform per se, it is often used in conjunction with cloud computing services such as AWS, Google Cloud Platform and Microsoft Azure. Developers can use GitHub to host their code and then deploy it to the cloud using services such as AWS Elastic Beanstalk or Microsoft Azure App Service.

Google Cloud Platform

Google Cloud Platform is a cloud computing platform provided by Google that enables users to build, deploy, and scale applications and services using a wide range of computing resources. It is an example of cloud computing because it provides access to a wide range of computing resources on demand, including virtual machines, storage, networking, databases and other services, all delivered through the internet.

One example of how Google Cloud can be used is for building and deploying web applications. Developers can use Google Cloud's compute resources to host their application code and data, and use services such as load balancing, autoscaling and container orchestration to manage the application's performance and availability. They can also use Google Cloud's machine learning services to add intelligent features to their applications, such as image recognition or natural language processing.

Is blockchain a part of cloud computing?

No, blockchain is not a part of cloud computing. While both blockchain and cloud computing are used in the context of modern computing, they are distinct technologies with different characteristics and use cases.

Cloud computing is a delivery model for computing resources such as servers, storage and software applications over the internet. Users who use cloud computing can use these services whenever they need to without having to buy and maintain their own physical IT infrastructure.

Related: 7 modern technology examples that don’t need electricity

Blockchain, on the other hand, is a distributed digital ledger technology that records transactions in a safe, open and unchangeable way. Blockchain is frequently used to build relationships of trust between parties who do not already know or trust one another. In order to prevent any one person or entity from tampering with the data, it accomplishes this by using a decentralized network of computers to verify and record transactions.

While it is possible to use cloud computing to host blockchain-based applications, blockchain is not inherently a part of cloud computing.

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