Reposted original title: Phoenix: Decentralized AI vertical infrastructure | JDI Ventures research report

As the AI field welcomes another milestone with the introduction of the WenSheng video model Sora, the wave of AI initiated by ChatGPT has become unstoppable. This wave is not just technological but also commercial, promising to bring changes to people’s lives even more profound than the internet — altering the way we consume, work, and entertain. Realizing this vision requires unprecedented massive computational resources, and Phoenix offers a vertical solution for AI computing power. In essence, it utilizes the efficient resource allocation method of DePIN (Decentralized Physical Infrastructure Network) to quickly build and expand AI-driven automation tools and predictive models, and to achieve distributed AI computing on local device networks.

TLDR：

Phoenix, a leading decentralized AI infrastructure platform, has recently launched its large language model (LLM) service, Phoenix LLM, on Telegram, providing Telegram users with seamless access to AI capabilities. In simple terms, users can easily link their SkyNet accounts with their Telegram usernames, then start interacting with the PhoenixLLM Telegram Bot for various AI-driven activities. Compared to traditional centralized LLMs (like ChatGPT), Phoenix LLM offers a cost-effective solution, approximately one-third the cost of traditional centralized LLMs, with costs expected to decrease further as the GPU node network expands. Phoenix plans to launch vertical LLMs for different domains, including Web 3, AI, data science, and trading/macroeconomic research. Phoenix has strategically collaborated with leading Helium hardware supplier Bobber.com to create a new generation of lightweight AI computing nodes, enabling individuals and partners to provide GPU-supported computing resources for SkyNet.

More on Phoenix:DePIN+AI drives blockchain infrastructure for smart Web3 applications

Phoenix: DePIN+AI Driving Intelligent Web3 Applications Blockchain Infrastructure The integration of DePIN (Decentralized Physical Infrastructure Network) with AI (Artificial Intelligence) is causing revolutionary changes in the market. The core of DePIN lies in optimizing resource allocation through decentralization, such as storage and computing capabilities, thereby supporting data-intensive applications. The role of AI technology is increasingly prominent in the modern market, especially in the development of advanced analytics and deep learning models. Phoenix, with its decentralized AI infrastructure—DePIN and AI technology, is reshaping the development and deployment of intelligent Web3 applications.

Phoenix’s AI computing layer is a Web 3-based infrastructure designed for scaling AI computational tasks and easily deploying AI-enabled applications, including deep learning, predictive analytics, large language models (LLMs), federated learning, and AI edge computing.

Phoenix AI On-Demand Architecture

Phoenix’s decentralized AI architecture offers users a highly flexible AI service ecosystem. Ordinary users, developers, and third-party applications interact with Phoenix’s core AI computational infrastructure, SKYNET, through APIs. This ensures that different types of users can easily access the platform’s services based on their specific needs.

SKYNET is the centerpiece of the architecture. It is an AI elastic computing infrastructure dedicated to processing and executing AI tasks from users and developers and dynamically adjusting resource allocation based on demand.

The intelligent auto-scaling routing protocol further optimizes resource allocation by using a master node network, along with a complex node hierarchy and scoring system, to ensure the network’s efficient operation.

Additionally, the AI model block showcases the various AI technologies supported by Phoenix, such as deep learning and large language models. These are all aimed at completing specific AI tasks, such as training, inference, and deployment.

Through the Phoenix platform, users can easily leverage these models to achieve their goals, whether for simple data analysis or the development of complex new algorithms.

Applications within the Phoenix ecosystem, such as AlphaNet, PhoenixLLM, and HORIZON PROTOCOL, are all built on this vast AI computing network. They utilize the AI capabilities provided by SKYNET to offer specific services and functionalities.

Phoenix Trifecta

The Phoenix Trifecta is Phoenix’s vision of delivering value through decentralized AI technology.

AI Alpha (Value Enhancement through AI)

This concept involves using AI technology to generate profits for users, such as through AlphaNet. It means utilizing intelligent algorithms to analyze market trends, data, etc., to support investment decisions, thereby creating additional value or profit.

AI Insights (AI Insights)

Through SkyNet’s AI model services, predictive AI insights become accessible, scalable, and easy to utilize. This involves using AI to analyze big data to predict future trends, providing a scientific basis for decision-making. These insights can be applied in various scenarios, such as financial analysis and market trend prediction.

AI Productivity (AI Productivity)

This aspect changes the way we work, research, and learn through technology, like PhoenixLLM. It refers to using AI tools and services to optimize workflows, increase efficiency and productivity, such as automating tedious data processing tasks or assisting research and learning activities with large language models.

Overall, the Phoenix Trifecta emphasizes the creation of real-world value using decentralized AI technology, whether it’s in financial enhancement, obtaining deep insights, or improving work and learning efficiency. This showcases the strong potential and practical value of AI technology.

Phoenix’s AI Vertical Solutions

Phoenix offers AI vertical solutions that cover multiple industry domains, aimed at leveraging AI technology to enhance efficiency and innovation in specific vertical markets. Here is an overview of its main vertical solutions:

Markets & Trading: Provides services to the market using cost-effective AI infrastructure and models. This may include algorithmic trading, risk management, and market analysis, as well as real-time data processing to guide trading decisions.

Research & Knowledge: Achieves rapid AI model deployment for predictive analytics and supports multiple research areas. This can be used to accelerate scientific research, data analysis, and complex calculations, improving the quality and efficiency of research.

Gaming & Metaverse: Builds capabilities within Web3 infrastructure, including the use of deep reinforcement learning models. This involves creating more intelligent gaming environments, enhancing user interaction experiences, and developing complex ecosystems in the metaverse.

Financial Services: Quickly builds and scales AI-driven automation tools and predictive models. In the financial services sector, this could mean smarter investment advisory services, customer risk assessments, and personalized financial product recommendations.

IoT & Edge Computing: Constructs and deploys AI-driven distributed computing to strengthen local device networks. This helps to achieve intelligence in IoT devices, enhance data processing capabilities, and provide real-time analytics in edge computing environments.

Tech & Software: Realizes the commercialization of cloud computing and data centers, adopting flexible computing capacity expansion methods. This may include Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) models, as well as utilizing cloud technology to optimize software development and operations.

Phoenix’s vertical solutions demonstrate its wide application and deep expertise in the AI field, supporting the digital transformation and intelligent upgrade of different industries with customized AI services.

Token analysis: PHB

PHB, the native token of the Phoenix network, serves various primary purposes including:

Network Platform Coin: As the platform coin for all transactions on the mainnet, PHB is utilized to calculate and represent the costs of transactions, service fees, and the value of other economic activities within the network.

Membership Points: PHB can be converted into data points for the secondary layer network, allowing users to access more efficient data processing capabilities. This means that by investing PHB, users can enjoy faster transaction speeds and more efficient network services.

Oracle Points: Within the Phoenix network, PHB also functions as oracle points, enabling users to access and utilize real-world data. This represents an important bridge between off-chain data and the blockchain world.

Staking Rewards: Users can stake their PHB through the Phoenix staking system to support the network’s security and stability. By staking PHB, users not only help protect the network from attacks but also receive rewards generated from network operations based on the amount of their stake.

The value of PHB is not only in its function as a medium of exchange but also in its role in incentivizing network participants. By taking on various roles within the network, such as data provision, staking, and node operation, PHB holders can actively contribute to and benefit from the Phoenix ecosystem.

As of March 8, 2024, the latest market cap of Phoenix (PHB) is approximately $133 million, with a 24-hour trading volume of about $189 million. The circulating supply of PHB is 48.41 million tokens, with a maximum supply of 64 million tokens.

Overall, PHB’s market positioning is diversified, covering not only the DePIN market but also extending into the artificial intelligence domain. Additionally, the high staking rate of PHB indicates strong community confidence in its future development.

Team Background & Partnerships

Phoenix’s partners include top-tier exchange Binance, tech giants ByteDance and Alibaba Cloud, as well as e-commerce platform JD.com, all of which are either investors or partners. These partnerships provide Phoenix with technological support and market channels, especially in promoting the integration of blockchain technology with AI.

For example, APEX Technologies will serve as the role of enterprise blockchain and multi-party computation within Phoenix Tech. Additionally, FLC, a research organization focusing on federated learning and decentralized edge computing, will closely integrate with Phoenix Global’s technology.

Furthermore:

Phoenix collaborates with Bobber.com to jointly develop the lightweight AI computing node, PhoenixNode. Bobber.com’s deep involvement is not only based on its strong capacity having successfully deployed over 400,000 mining rigs in the Helium ecosystem but also demonstrates its key role in advancing the development of AI computing hardware.

Competitive Analysis:

Helium

Helium aims to address the challenges of providing decentralized and scalable Internet of Things (IoT) connectivity by leveraging blockchain technology and its unique consensus mechanism, “Proof-of-Coverage” (PoC).

Since its establishment in 2013, after several strategic adjustments and technological developments, it has gradually grown into a decentralized wireless network with widespread influence. In 2022, Helium transitioned to Nova Labs Inc., completing a $200 million funding round led by Tiger Global Management and Andreessen Horowitz. Helium’s vision is to provide connectivity for IoT sensor devices in areas lacking wireless coverage or requiring substantial energy.

As of March 8, 2024, the latest data shows that Helium (HNT) has a market capitalization of approximately $1.38 billion, with a trading volume of about $43.09 million in the last 24 hours. The current circulating supply of Helium is 160,875,441.824 HNT.

Bittensor

Bittensor is an open-source protocol based on blockchain, aimed at establishing a decentralized machine learning network. This network supports the collaborative training of machine learning models and rewards them with TAO tokens based on the value of information they provide.

Bittensor also strives to establish an AI marketplace, enabling consumers and producers of AI to interact in a trustless environment.

As of March 8, 2024, the latest information indicates that Bittensor (TAO) has a market capitalization of approximately $4.62 billion, with a 24-hour trading volume of about $31.70 million. Bittensor ranks first in the AI cryptocurrency space.

DePIN+AI — The Appreciation Potential of PHB

Phoenix is not just a blockchain platform; it represents the future of intelligent Web3 applications. It combines the robust features of layer 1 and layer 2 networks, and with the innovation of oracle technology, it opens a new era for data-intensive and AI-driven applications. The PHB token, as the core of the network, provides a reliable medium for value transfer, ensuring the smooth operation of the entire ecosystem. With the continuous development and innovation of Phoenix in the AI+DePIN domain, we look forward to seeing more exciting applications and solutions emerging on this platform.

The combination of AI+DePIN signifies a new technological trend that integrates the power of data and intelligent computing into decentralized infrastructure. We can foresee that more intelligent applications based on the Phoenix platform will emerge in the future.

Phoenix represents the future direction of Web3 technology. With ongoing technological advancements and application expansion, Phoenix will continue to lead industry development, shaping a more open, intelligent, and efficient digital world.

X: https://twitter.com/Phoenix_Chain

Official website: https://www.phoenix.global/

Github: https://github.com/phoenixglobal

Declaration:

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