Decentralization Cloud Computing: A New Revolution in AI Computing Power

Against the backdrop of rapid technological development, companies like OpenAI and Nvidia have seen their market values soar. Crypto x AI has become a current market hotspot, attracting a large influx of funds. Decentralization, as a tool for AI development, still has gaps compared to centralized models in practical applications, but it holds great potential in expanding the four core aspects of AI (data, model, training, and reasoning).

Data is the foundation of AI technology, while Computing Power is the key tool for processing data. This article will focus on the "Computing Power" part of the Crypto x AI x DePIN ecosystem framework and explore its economic model.

1. DePIN and Decentralization Computing Power Ecosystem Framework

Pain Points

High-quality Computing Power is monopolized by traditional giants, making it difficult for startups and individual users to access cost-effective Computing Power resources.

Decentralization solution

The DePIN project employs a P2P economic model, allowing users to earn token rewards as resource providers. As demand increases, a balanced framework for decentralized AI Computing Power supply ecosystem has been established.

The decentralized AI Computing Power ecosystem is mainly composed of three parts:

Resource Agent - Io.net

Io.net is a decentralized computing network that provides high-quality AI Computing Power to customers at a low cost. Its goal is to aggregate 1 million GPUs to form a massive DePIN computing power network. Users can contribute idle GPU/CPU computing power to earn token incentives. Io.net uses cluster construction modules to coordinate GPU operations, improving computing efficiency. Currently, Io.net has over 200,000 available GPUs, including a large number of GeForce RTX 4090 and 3090 Ti.

Resource Provider - Exabit

Exabit, as an AI Computing Power service node, provides ample chip support for deep machine learning. The team has strong technical resources and direct access to hundreds of data centers and high-end GPUs. Exabit offers large-scale machine learning Computing Power to web3 giants, significantly reducing customer costs and improving efficiency. Collaborations have been established with Computing Power giants such as Renders Network and Io.net.

Resource Channel Provider - PingPong

PingPong, as a DePIN resource channel provider, adopts a platform-style open protocol to provide underlying aggregation resource services. Its goal is to become a service aggregator for DePIN. Through routing algorithms, PingPong matches the best quality Computing Power network according to customer needs, enhancing the quality and service of DePIN application layers.

2. Analyzing the Decentralization Computing Power Ecosystem

Io.net and Exabits have reached a strategic partnership to jointly promote the development of the Decentralization computing industry. Decentralization computing aims to address the limitations of traditional cloud services, including limited availability, restricted choices, and high cost issues.

Asset Mode

Heavy Asset Model - Exabits

Exabits has strong supply-side resources, focusing on high-end GPUs such as A100, RTX4090, and H100. This heavy asset model requires a large investment in fixed assets, creating a high barrier to entry. Exabits' advantages on the supply side give it the potential to achieve industry monopoly.

Light Asset Model - Io.net

Io.net, as a Computing Power agency, adopts a light-asset operation model. Its core business includes aggregating individual GPU Computing Power and acquiring high-quality Computing Power from the supply side to sell to AI startups. This model has lower risks but also faces the challenge of being easily replicated.

3. Future Development

PingPong, as a DePIN service aggregator, is expected to drive the ecosystem from "10 to 100". Its B2B2C light asset model connects the supply side, resource agents, and end customers. PingPong also plans to assist clients in creating AI Agents and conducting dynamic mining through SDKs, enhancing resource and capital liquidity.

4. Outlook

Decentralized cloud computing is gradually developing, and although a clear ecological framework and model have been established, it will still take time to shake the position of traditional cloud computing giants. Currently, decentralized cloud computing can meet the needs of some startup AI companies, but the overall resources and scale are relatively limited. In the future, the market may require new models to break through the current predicament. We will continue to witness and participate in this disruptive revolution.