An innovative comprehensive platform integrating blockchain, AI computing power sharing, and AI Web3 services
AIT (AI Token) is a cryptocurrency derived from an AI Web 3 multi-layer efficiency architecture, built on an AI blockchain consensus framework, AI computing power and resource sharing, and a variety of AI services (such as AI models, AIGC, digital humans, global citizens, music creation, Flash AI Lightning Startup Packages, and enterprise-grade specialized services).
It is primarily used for payment within our innovative platform designed for AI blockchain, AI computing power sharing, and AI ecosystem services globally. In the future, it will support even more AI applications on the blockchain.
As artificial intelligence (AI) technology advances rapidly, challenges such as high energy consumption and global surplus computing power are becoming increasingly prominent. Imagine if there were a solution that could address all these issues at once—what kind of service would it be?
Q1
Could unused computing power, like vacant parking spaces, be rented out within appropriate timeframes to recover equipment costs or even generate income?
Q2
Is there a platform that can mediate computing power or even allow users to directly access cloud-based AI services without purchasing expensive specialized equipment?
Q3
Could the products created using AI services also be showcased or sold, like NFTs, to generate revenue? Could individuals easily create their own products and personal brands?
Thus, the idea of "AIT", a blockchain-powered AI computing power-sharing platform, naturally came into being.
Flexible and Scalable Architecture
The platform can be adjusted and expanded based on varying needs, enabling businesses and government institutions to better meet their requirements and achieve optimal efficiency and outcomes.
Building Enterprise-Specific AI
The platform assists organizations in establishing their own enterprise AI, ensuring sensitive data remains internal. This enables rapid deployment of intelligent services, facilitates external operations, and accelerates progress toward a new era of intelligent enterprises.
Autonomous and Diverse Models
The enterprise AI expert system features autonomously developed, diverse models capable of addressing various needs, such as natural language processing and image recognition. This empowers businesses and government institutions to maximize the potential of AI technology, enhancing both efficiency and effectiveness.
Offline Systems
For entities that prefer to keep their data within their internal systems, the platform offers dedicated servers, ensuring data security and eliminating concerns about potential leaks.
Rapid AI Empowerment
The enterprise AI expert system allows businesses or institutions to quickly integrate AI capabilities, helping them leverage AI technology more effectively for improved performance and benefits.
Integrated Multi-Application Platform
Disparate applications hinder the optimal growth of both AI and user experiences. The AIT platform bridges AI applications, enabling users to precisely pinpoint their needs while fostering better AI development and integration.
01
Optimized Product Recommendation Systems
The AI computing power-sharing platform offers renters a BERT-based recommendation solution, supported by high-performance GPU clusters for data training and analysis. By processing user behavior data, such as browsing and purchase history, renters can generate precise product recommendation lists. The platform’s flexible leasing model allows renters to adjust computing power usage as needed, avoiding unnecessary costs. This improves the efficiency and accuracy of recommendation systems, enhances user experience, and significantly boosts conversion rates.
02
Optimized Product Recommendation Systems
Through the platform, renters gain on-demand access to the required computing resources. Leveraging the ready-to-use development environment provided, they can quickly build speech recognition models and test them across multiple scenarios. The platform’s flexible billing model ensures cost-effective research and development, charging only for actual usage. This enables renters to complete prototype development and testing within shorter timeframes, successfully validate product concepts, and garner positive early user feedback. This agile development model not only reduces costs but also accelerates time-to-market.
03
Optimized Product Recommendation Systems
The platform provides renters with dedicated high-performance GPU clusters supporting distributed computing, significantly reducing model training time. Additionally, performance optimization tools are available to analyze and fine-tune model efficiency. With robust computing power, renters can complete model training in a fraction of the time, accelerating their research progress and improving outcomes.
01
Significant Reduction in Operating Costs
By sharing the computing power of idle devices, owners can generate additional income, offsetting the operational and maintenance costs of their hardware.
02
Increased Resource Utilization Efficiency
Idle computing resources, if left unused for extended periods, result in waste. By making these resources available to users in need of computing power, providers can maximize hardware utilization and prevent resource waste, ensuring efficient and effective use.
03
Reduced Market Demand Pressure
Through shared computing power, businesses can lease the required resources on-demand, quickly launching AI projects or conducting large-scale data processing without the burden of upfront investment or financial strain.
04
Promotion of Technology Adoption and Innovation
Resource sharing accelerates the adoption and application of AI technologies, enabling innovative applications and business models to materialize more rapidly. This contributes to the growth and advancement of the overall industry.
05
Flexible Billing to Mitigate Risk
Providers benefit from pay-as-you-go or hourly billing models, where prices are determined based on usage duration and demand. This allows both individual and enterprise users to lease resources according to their actual needs, effectively controlling costs and minimizing risks.
06
Support for Sustainable Development
By sharing resources, idle computing power can be optimally allocated. This not only enhances resource utilization but also reduces the demand for additional hardware, fostering a more sustainable computing ecosystem for businesses and individuals alike.
01
Blockchain Mechanism for Large Model Integration
Large AI models require highly efficient computing environments, and blockchain's distributed nature offers a decentralized platform for computation. By creating a blockchain-based AI computing platform, large models can be deployed in distributed environments, ensuring efficient and reliable access. Sharding technology enhances blockchain's processing capacity, while decentralized storage solutions like IPFS address the storage limitations of centralized models by hosting model weights and parameters.
Additionally, smart contracts can enforce access control to these models, ensuring security and transparency. An open blockchain protocol layer can facilitate interoperability between different blockchain and AI systems, promoting effective resource integration and application.
02
Data Input Validation Mechanism
The performance and decision accuracy of AI models heavily depend on data quality, with authenticity and transparency being key challenges. Blockchain's immutability and traceability provide an ideal foundation for data verification, recording data origins and processing history to create a complete traceability chain.
By integrating zero-knowledge proof technology, data authenticity can be verified while preserving privacy.
Furthermore, leveraging blockchain consensus mechanisms and trusted execution environments (e.g., Intel SGX), data from multiple parties can undergo unified validation, ensuring standardized and reliable training data, minimizing bias risks, and improving AI model performance.
03
Fair Reward System for Contributors
Contributors should receive fair compensation, and blockchain’s smart contract mechanism offers a transparent and efficient solution for revenue sharing. Smart contracts can record detailed contributions, such as the quantity and quality of data provided, creative input, precision, planning, computation time, or model improvement outcomes. Revenue distribution is automated, ensuring transparency and eliminating manual interference.
Introducing a token-based economic incentive model allows contributors to earn tokens proportional to their contributions. These tokens can be used for platform fees or redeemed for value. Blockchain's transparency ensures that every contribution is recorded and accessible, enabling participants to verify their earnings and contributions.
This builds trust, attracts more participants, and fosters growth in the AI-blockchain ecosystem.
As artificial intelligence technology continues to advance rapidly, the growing demand for computational power has highlighted the limitations of traditional hardware acquisition methods, which are expensive and lack flexibility. These challenges have become significant barriers for businesses and developers.
The AI computing power rental and sales platform is designed to address these issues. It offers users efficient, cost-effective, and flexible computing resources to meet a wide range of needs, from model training to inference deployment, game development to data analysis. This solution ensures that businesses and developers can access the computational power they require without the high costs and inflexibility of traditional methods.
Virtual
Host
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Windows
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Linux
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Custom Images
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Containers
AI
Application
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Natural language processing
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Computer vision
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Speech processing
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Machine Learning and Data Analysis
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Idea generation
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Games & Entertainment
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Gambling and Betting
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Education and Learning
Model
Training
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GPT
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BERT
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T5
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XLNe
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RoBEARTa
Consensus Mechanism
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Ethash
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Equihash
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RandomX
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KAWPOW
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ProgPoW
Game
Engine
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Unity
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Unreal Engine
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Godot
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CryEngine
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Cocos2d
01
AIT Payment
Industries partnering with AIT will make continuous payments for enterprise AI services on a monthly, quarterly, or annual basis. AIGC-related services will be paid for using points, which can be exchanged for AIT tokens for image generation.
02
Expert Invitation Rewards
When an expert establishes an enterprise AI, they can invite other experts to participate in the creation of their own enterprise AI. Once the enterprise AI is successfully built and validated, the inviter will receive an invitation reward.
03
Model Testing Rewards
For industries that have released their enterprise AI, model testing will help identify and resolve issues. A corresponding amount of AIT tokens will be rewarded for participating in the model testing. This mechanism aims to encourage more people to engage in model testing, accelerating the growth of enterprise AI across industries.
