What does Public Cloud mean? From growth to the future!



Cloud computing is deeply embedded in our daily lives. Microsoft Docs, Google Sheets, Notion, and all innovative services based on cloud computing that are used in our everyday lives. Cloud services are now indispensable because they provide efficiency and convenience in our daily lives.

As such, the cloud computing market has grown exponentially in recent years, transforming the way enterprises store and manage data. In this module, we will summarize the definition and concept, current status, prospects, and examples of the cloud and its most popular type, the public cloud.

Understanding the concept of a cloud and its types

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Source: Pixabay

Cloud refers to providing computing resources such as hardware and software over the Internet. Cloud services enable users with just an Internet connection to manage data and run applications anytime, anywhere, without the need for on-premise infrastructure. Cloud technology has enabled businesses and individuals to effectively manage their data anytime, anywhere.

With the development of cloud computing, cutting-edge technologies such as IoT and AI have also been revolutionized faster. There’s no reason for devices to be at the center of service anymore, as multiple devices are now able to access and utilize the service over the Internet. This means that you can use features flexibly regardless of the device, leading to better performance and greater accessibility.

Cloud Model Types

The cloud is divided into four main types of models.
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Source: sharedIT

Private Cloud
Private clouds are provisioned so that cloud infrastructure can be used only by a single organization. As a result, private clouds are highly secure and their performance is optimized for your organization.

Public Cloud
The definition of a public cloud is quite self-explanatory. Unlike private clouds, computing services are delivered on demand to an unspecified number of people over a public network. That’s why it’s not as secure as a private cloud, but with recent technological advances, you can expect public clouds to also have a trustworthy level of security. Examples of public clouds are Microsoft Azure and Elice GPU clouds.

Hybrid Cloud
A hybrid cloud is a cloud model that combines two or more of the following: community, public, and private clouds. Its merits lie in flexibility and versatility. In particular, it has the advantage of being able to deploy sensitive data on-premise.

Multi Cloud
Multi-cloud is a combination of two or more public and private clouds. It has great security and performance advantages.
The most accessible and popular cloud model is the public cloud. Let’s find out in detail what this already widespread technology, the public cloud, is.

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What is Public Cloud?

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Source: Pixabay

Definition of a Public Cloud

Public cloud refers to a cloud model that anyone who has Internet access can connect to. Service providers provide computing resources and services on demand to organizations and individuals over the Internet. Unlike private clouds that use organizational-specific infrastructures, public clouds use shared infrastructure.

Public Cloud Features

It has the advantages of “scalability” and “flexibility” in line with its alternative name of “open cloud.” This means that you’ll be charged according to usage, and you can change the usage as you like. This is why public clouds are cost-effective for small businesses or individual users. For reference, there are three types of public cloud services. Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are classified according to the form of computing resources they provide.

Learn more about the 3 types of cloud services

Public Cloud’s Present and Future

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Source: Pixabay

Current Usage of Public Clouds

While private clouds have been useful in increasing the productivity of large companies due to their security and performance, public clouds have recently begun to attract a lot of attention too. Fast-growing startups already widely use public clouds due to their unique flexibility, and large companies are starting to increasingly pay attention to their scalability.

Among public cloud services, IaaS is the most popular of them all. The growth rate for IaaS compared to the previous year is 30.9%, which is the highest among cloud services. This seems to be due to advances in AI, the metaverse, and Web3 technologies that require high-performance computing resources. Among public clouds, IaaS, which provides ‘infrastructure’ in the form of a cloud, is expected to continue to be in great demand.

The prospect of public clouds

According to a market outlook report published by IDC Korea, the domestic public cloud service market will grow 14.8 percent annually by 2025, reaching 3.8952 trillion won. Recently, the domestic cloud service market has become vitalized as the boundaries between industries have weakened and the “Big Blur phenomenon” is being observed in IT industries.

The global market size of the public cloud is expected to reach about 600 billion dollars. Global end−user spending on public cloud services will reach 597.4 billion dollars in 2023, according to Gartner. This is a 21.7% increase from last year, and the accelerated development of new technologies such as AI, Metaverse, and Web3 has been pointed out as the reason behind the sudden soar in demand for cloud services. In particular, ‘machine learning’, which is the basis for AI technology, requires high-performance computing resources. As cloud services can provide the right solutions and platforms for AI technology, it is likely to draw more attention in the future.

Example of a public cloud: Elice GPU IaaS

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So far, we have examined the meaning, concept, current status, prospects, and examples of public clouds. Understanding and introducing cloud services into business is the beginning of DX acceleration in the enterprise. Elice, which provides enterprise DX training solutions, also offers GPUaaS services. GPUaaS enables as much real-time allocation of computing resources (GPU) as you want, which can be used in AI training, and research, as well as data analysis, 3D modeling, coding testing, and more.

Also, unlike overseas cloud services, it adheres to domestic security regulations, so it can be used with convenience. We can provide low latency and high data transfer rates while also complying with data sovereignty compliance regulations pertaining to sensitive data. If you’re interested in a high-performance NVIDIA A100 GPU server farm, or if you’re looking for a development environment that doesn’t require installation, we recommend you take an interest in the Elice GPU cloud.

ELICE’s GPU Cloud - View now

Defining the Cloud: Learn about the Cloud together with DX - View now

*This content is a copyrighted work protected by copyright law and is copyrighted by Elice.

*This content does not allow any secondary modifications or commercial utilization without prior consent.

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