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Aethir:革命性的分散式 GPU 基礎設施

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Aethir:革命性的分散式 GPU 基礎設施

With the continuous development of various scientific and technological fields, the demand for GPUs in various industries has surged. From promoting cutting-edge AI technology to realizing immersive cloud gaming experience, GPUs have become the backbone of modern computing. However, traditional centralized GPU infrastructure has many problems, such as high cost, limited scalability, and potential security vulnerabilities.

Aethir is addressing these challenges head on by launching a distributed GPU infrastructure. This new solution is changing the way the world uses GPUs and is expected to bring innovations to multiple industries such as AI, cloud gaming, cloud phones, edge computing, etc.

At the same time, Aethir can also take this opportunity to reach a market worth tens of billions of dollars, thereby realizing its own value capture and accelerated growth.

As of now, Aethir鈥檚 GPU network and cloud solutions have achieved over $36 million in revenue per year. As the protocol approaches the final steps of mainnet deployment, this revenue will convert to ATH as all operations are converted to the new protocolized format.

In line with the principles of Web3 transparency, Aethir will release proof of revenue, which will be released along with Aethir鈥檚 public dashboard at the end of August. Purchases of existing ATH calculation orders will begin on July 25th.

The following article will highlight Aethirs comprehensive solution, unique value proposition, solid financial outlook, and comprehensive GPU management tools.

What is Distributed GPU Infrastructure?

Distributed GPU infrastructure is a new model that is different from the traditional centralized model. Instead of relying on a huge single data center, it operates based on a network of devices distributed in different locations (from high-performance servers to personal computers, which can contribute their own GPU processing power). This collective resource pool can create a more powerful, flexible, easy-to-access, and GPU infrastructure that can be used for intensive tasks.

Aethir:革命性的分散式 GPU 基礎設施

You can think of it as a shared supercomputer. Each device in the network will act as a node, contributing its idle GPU processing power to the overall power of the computer. This will make GPU resources more economical and enhance their availability because the network can be dynamically expanded to meet different needs. In addition, the decentralized nature can also enhance security by avoiding single points of failure and decentralized storage of data.

Aethir provides a decentralized GPU infrastructure that can better serve enterprises and individuals. With its coordinated software layer and diverse service models, Aethir can provide convenient high-quality GPU computing access services, thus providing new possibilities for building a richer category of applications.

Aethirs Unique Value Proposition

In the decentralized GPU space, Aethir is unique in that it can meet the diverse and evolving needs of various industries.

The core of Aethirs architecture lies in the development of a complex software layer that effectively manages the allocation and utilization of GPU resources in a decentralized network, helping Aethir ensure that customers can obtain the best performance, the most reliable service and the most economical cost.

Aethir understands that a one-size-fits-all solution is not suitable for all customers. To this end, Aethir has designed a three-tier service model, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Bare Metal to meet the different needs of customers.

Aethir:革命性的分散式 GPU 基礎設施

Regardless of which service model you choose, Aethir guarantees the availability of high-quality GPU computing resources. By partnering with reputable hardware providers and maintaining a strong network of nodes, Aethir ensures that its customers have access to the latest GPU hardware and the performance that matches it.

AI: Driving the future with the power of decentralization

AI is rapidly transforming industries from healthcare to finance, entertainment to transportation. At the heart of the AI revolution is the near-infinite demand for powerful GPUs, specialized processors that accelerate the training and inference of AI models. Aethir鈥檚 decentralized GPU infrastructure uniquely addresses this market need.

Aethirs infrastructure helps AI researchers and developers train and deploy complex models quickly and efficiently. By leveraging the collective power of distributed GPUs, Aethir can significantly reduce the time and cost associated with AI development, making the development of this technology more accessible to everyone.

Gartner has predicted that the AI market is experiencing exponential growth, with AI semiconductor revenue expected to reach $71 billion by 2024. This represents the size of Aethir鈥檚 total available market (TAM) in the AI space.

Aethirs effectiveness in the field of AI has been proven. For example, Aethir has reached a cooperation with AI pioneer TensorOpera. Using Aethirs decentralized GPU infrastructure, TensorOpera trained a huge AI model with 750 million parameters for 30 consecutive days. This intensive training process eventually gave birth to a groundbreaking new model, demonstrating the huge potential of Aethir infrastructure in the field of AI services.

Cloud gaming: popularizing high-quality gaming experience

The data center GPU market for cloud gaming is experiencing explosive growth. In 2023, the global market size is estimated to be $13.1 billion, with an expected compound annual growth rate of 28.5%.

The high cost of entry-level gaming PCs and the increasing hardware requirements of modern games have prevented millions of gamers from having access to high-quality gaming experiences. Aethir is changing this by making high-quality gaming equally accessible to everyone through its distributed GPU infrastructure.

Aethirs infrastructure allows game studios to stream resource-intensive games directly to users devices, eliminating the need for expensive hardware. This means that players can enjoy AAA games on low-end PCs, mobile devices, and even older hardware as long as they can maintain a stable internet connection.

Aethir is actively working with partners such as Xsolla, Magic Eden, and others to actively shape the future of cloud gaming.

Cloud Phone: Redefining the Mobile Experience

Aethirs distributed GPU infrastructure will also revolutionize the way mobile phones are used. The cloud mobile phone service market is expected to expand at a compound annual growth rate of 9.7%. In 2023, the markets revenue may have reached $22.8 billion, and is expected to exceed $57.6 billion by 2033. Through the power of the cloud, Aethir will be able to promote the implementation of a new generation of cloud mobile phone services and reshape the user experience on mobile devices.

Aethirs infrastructure provides the computing resources to power cloud phone services, allowing users to offload resource-intensive tasks from their mobile devices to the cloud. This means even lower-priced smartphones can run demanding applications such as high-end games, video editing software, and AR experiences without compromising phone performance or battery life.

The worlds first Web3 cloud phone, APhone, will be powered by Aethirs distributed GPU network. APhone is an effective attempt to combine Aethirs distributed GPU infrastructure with innovative ideas. It is a phone that is not limited by hardware, a phone that allows users to control their own data, and a phone that is ready for the future of Web3.

Currently, APone has more than 45,928 users, and the number of users is still growing.

Edge computing

Edge computing is one of the application cases of distributed computing, which brings computing and data storage closer to the source of objects or data, achieving faster response speed and lower latency. Aethirs decentralized GPU infrastructure is well suited to support edge computing applications, especially those that require low-latency AI reasoning.

Aethirs edge computing capabilities enable AI models to process data and perform reasoning closer to the source of data generation, significantly reducing the time it takes for data to be transmitted to and from centralized cloud servers, and enabling almost instant responses. This low latency is critical for applications such as autonomous driving, industrial automation, and real-time decision-making systems, as even milliseconds can have an impact on the final result.

While the exact size of the GPU market for edge computing is unknown, it is a major component of demand in the broader data center and AI space. If we assume that edge computing can capture a large portion of the $13.1 billion data center GPU market, and estimate that Aethir can achieve 15-25% market share, then Aethirs potential market share would be between $1.97 billion and $3.28 billion. This is a huge opportunity for growth and innovation.

Looking ahead: Huge opportunity of over $30 billion

The total effective market size of decentralized GPU computing is expected to reach a staggering $11.04 billion to $20.76 billion. This huge market will span several key areas: the AI GPU market is expected to have an opportunity of $7.1 billion to $14.2 billion; the market size of cloud gaming is expected to be about $1.97 billion to $3.28 billion; the potential market size of cloud phones is as high as $22 billion to $57.6 billion; and edge computing is another market with a size of $1.97 billion to $3.28 billion.

Aethir:革命性的分散式 GPU 基礎設施

With innovative technology, strong financial backing, and a multi-pronged market strategy, Aethir is on track for significant growth.

As of now, Aethirs GPU network and cloud solutions have achieved annual revenue of more than 36 million US dollars. These revenues will be converted into ATHs on a weekly basis to purchase computing power on the network. This also means that the monthly revenue of the protocol will exceed the sum of other DePIN projects.

This article is sourced from the internet: Aethir: A revolutionary distributed GPU infrastructure

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