HI
Hares Intelligence
With the vibrant development in the computing field, Graphics Processing Units (GPUs) have evolved from being initial graphics processing units to becoming crucial microprocessors that execute image and graphics-related computations on personal computers, workstations, gaming consoles, and various mobile devices.
The Fundamental Role and Architecture of GPUs
A GPU, or Graphics Processing Unit, was initially designed for graphics processing but has gradually expanded its capabilities to handle a broader range of computing tasks. Serving as the core of graphics cards, GPUs complete the generation and rendering of 3D graphics through five steps: vertex processing, rasterization, texture mapping, pixel processing, and output. Compared to CPUs, GPUs are designed for high throughput and are suitable for parallel processing of dense data, especially in scenarios like artificial intelligence training.
GPGPU: A New Approach to General Computing
As computational demands increased, the concept of General-Purpose GPU computing (GPGPU) was introduced in 2003. It aimed to utilize the computational power of GPUs in non-graphics processing scientific computations. This new approach expanded the application scope of GPUs, optimizing their design for high-performance parallel computing. GPGPU found widespread applications in data centers, particularly in artificial intelligence, high-performance computing, and data analysis.
Competition and Development in the GPU Computing Market
The GPU computing market has witnessed rapid development in recent years, driven particularly by the demand in the field of artificial intelligence. Different GPU architectures, including Fermi, Kepler, Maxwell, Pascal, Volta, Turing, and Ampere, have successively been introduced, each making breakthroughs in performance and functionality. The market size has exhibited a high growth trend, with a predicted global GPU market size of $254 billion in 2020, expected to reach $2,465 billion by 2028, with a Compound Annual Growth Rate (CAGR) of 32.9%, according to Verified Market Research.
A New Chapter for the HI Token
The HI token, as an emerging GPU computing token, adopts a Proof of Work (POW) mechanism. Its primary goal is to incentivize suppliers to provide hardware devices for stable network maintenance, while allowing GPU computing users to acquire cost-effective GPU computing power by purchasing HI tokens.
Consensus Algorithm
HI-Chain is an open blockchain platform for GPU cloud computing, based on the POS consensus algorithm extended into the POMT (Proof of Meta TFlops) algorithm. It provides GPU floating-point computing (TFlops) capabilities for the metaverse within a certain time frame.
In the blockchain system based on the POMT consensus, participants act as computing power contributors, providing computing power and corresponding staked tokens. Users receive incentives in tokens when using computing power, and continuous contributions require ongoing staking.
Allocation and Release Mechanism of HI Tokens
The total supply of HI tokens is 1,000,000,000, distributed as follows:
HaresDAO Foundation: 200,000,000
Planet Hares Team & Partners: 100,000,000
POW Mining: 700,000,000
Twenty percent (20%) of the tokens held by the foundation will be allocated to early investors and market management during the Token Generation Event (TGE). The 10% held by the team and partners will have 6% allocated to the initial team, with a 24-month lock-up period, followed by a linear release over 24 months. The remaining 4% will be allocated to partner organizations, with a 12-month lock-up period and an 18-month linear release. The initial circulating supply at the launch of HI is 200,000,000.
Introduction of Deflationary Mechanism
To enhance the scarcity and value of HI tokens, a deflationary mechanism is introduced. HI tokens will be gradually released over 35 years, with a reduction in the number of newly issued tokens every five years. This reduction is implemented to suppress inflation rates.
Node Operation Rewards: Promoting Stable Operations
The incentive mechanism of HI tokens is further refined, with rewards being set based on the contribution level of suppliers participating in node operations. Evaluation metrics include computational contribution, stability, and reliability, and a rating system categorizes suppliers into different levels, providing corresponding HI token rewards.
According to these indicators, there will be a rating system categorizing nodes into different levels or stages, and based on their level, they will receive corresponding HI token rewards. For example:
Level One: Suppliers providing basic computational power contribution will receive X HI tokens per hour.
Level Two: Suppliers with higher computational power contribution and good stability and reliability will receive Y HI tokens per hour (where Y > X).
Level Three: Suppliers providing the highest computational power contribution and outstanding performance will receive Z HI tokens per hour (where Z > Y).
This system effectively incentivizes suppliers to continue participating in node operations and provide more stable and efficient GPU computing services.
Reduction in Output Every Five Years
To decrease the number of newly issued HI tokens, the reduction plan for each five-year period is as follows:
First Five Years: 300 million, with a reward of 6,849.315 HI tokens per hour.
Second Five Years: 200 million, with a reward of 4,566.21 HI tokens per hour.
Third Five Years: 100 million, with a reward of 2,283.105 HI tokens per hour.
Fourth Five Years: 50 million, with a reward of 1,141.552 HI tokens per hour.
Fifth Five Years: 25 million, with a reward of 570.776 HI tokens per hour.
Sixth Five Years: 12.5 million, with a reward of 285.388 HI tokens per hour.
Seventh Five Years: 12.5 million, with a reward of 285.388 HI tokens per hour.
Node Operation Procedure
1.Download and Install:
Download the HI-Chain node installation package from GitHub for installation (Go version), and connect to the blockchain network.
2.Verify Nodes:
After completing the installation and configuration, verify nodes on the blockchain to ensure computational power is added to the consensus node and can synchronize blocks. A “version” message handshake is initiated, followed by an exchange of “verification” messages to validate node identity. If verification is successful, a “request block information” message is sent to synchronize the entire blockchain.
3.Start Miner:
Input the command miner.start() to officially start mining and provide computational power services.
Coinage or Burning (Destruction) Function and Purpose
1.Minting Function:
Trigger: When a user contributes TFlops of computational power to HI-Chain and completes specified computational tasks, the smart contract automatically triggers the minting function.
Calculation Formula: New minted amount = (Contributed TFlops / Total network TFlops) * Token quantity available in the reward pool for that period.
Limitation: There is an upper limit for each period’s reward pool to prevent excessive inflation.
Verification Process: The smart contract verifies that computational contributions are completed and meet the requirements of the POMT consensus algorithm.
2.Burning Function:
Trigger: After each minting, the system automatically executes burning, destroying a certain percentage of tokens to remove part of the circulating supply.
Burning Ratio: The ratio of burned tokens can dynamically adjust based on market conditions and inflation rates, such as burning 2% of newly minted tokens after each minting.
Purpose: This is done to control currency inflation and maintain token value stability.
3.Staking and Unstaking:
Staking: Users need to stake a corresponding amount of Hares Intelligence (HI) Tokens to become computational power contributors.
Unstaking: When users no longer provide computational power, they can apply for unstaking, but there is a waiting period (e.g., 72 hours) to prevent malicious operations.
4.Smart Contract Governance:
Governance Voting: HI-Token holders can participate in governance voting to vote on important parameters such as burning ratio, staking strategy, reward distribution, etc.
Dynamic Adjustments: Smart contracts can dynamically adjust parameters based on the results of governance voting Smart Contract Use Cases
Incentivizing Computational Power Contribution:
Incentivizes users who contribute computational power to HI-Chain by minting new tokens.
Token Value Stability:
Uses the burning mechanism to remove part of the supply, contributing to the stability and growth of token value.
Network Security:
The staking and unstaking mechanisms ensure the stability of the network’s computational power and increase the cost of attacks, enhancing network security.
HI Token Ecosystem Development
Community Participation:
Allows HI-Token holders to participate in governance, fostering interaction and engagement among community members.
Prospects for the HI Token Economy
The economic model of HI tokens provides strong impetus for the development of the Hare Universe. By incentivizing suppliers to provide efficient GPU computing power, HI tokens not only drive the development of the metaverse and blockchain technology but also create opportunities for more people to participate. This approach is expected to have a positive impact on the entire industry, propelling the GPU computing market towards a more prosperous future.
Total supply offset
By reducing the production every five years, the number of newly issued HI tokens will gradually decrease. Meanwhile, during the process of trading computing power NFTs, the NFT Marketplace will collect transaction fees in the form of HI tokens, and 50% of the fees will be burned. This will keep the total circulation of HI tokens at a stable value.
An effective node reward scheme will incentivize nodes that provide hardware equipment to continuously maintain the stability of the entire network and attract users to enjoy cheaper and more efficient GPU computing power services by purchasing HI tokens.
Market Strategy Examples:
GPU computing power users can enjoy affordable and efficient GPU computing power by purchasing HI tokens, enabling seamless entry into the metaverse with sufficient computing power.An active market and a reasonable pricing mechanism allow GPU computing power users to purchase HI tokens at an affordable price, thereby enjoying cheaper and more efficient GPU computing power services. The growth plan for the computing power market is as follows:
Market supply-demand balance: Establish an active market where suppliers and consumers can freely trade HI tokens. This allows the price of HI tokens to be adjusted based on supply and demand, ensuring a reasonable and affordable price.
Promotions and discount activities: Regularly hold promotions and discount activities to attract more GPU computing power users to purchase HI tokens. This can be achieved by lowering prices, providing discount codes, or giving away additional HI tokens.
Partnership relationships: Establish partnerships with other platforms or service providers to increase awareness and usage of HI tokens. This can be achieved through promotional activities, joint marketing, or providing preferential benefits.
Multiple payment methods: Provide various payment methods such as credit cards, virtual currencies, or other cryptocurrencies, to facilitate the purchase of HI tokens by GPU computing power users.
Increase the number of users in the metaverse through various marketing activities, promoting the widespread adoption of GPU computing power services and the growing demand for HI tokens. The growth in HI token price allows computing power service providers to gain more profit margins, thereby driving more service providers to expand their equipment holdings and increase market size.
Package GPU computing power into dynamic NFTs with growth potential, providing more value and use cases for GPU computing power. As follows:
Create unique computing power NFTs: Each computing power NFT should have distinct attributes and characteristics to differentiate different computing resources. This can be achieved by including attributes such as computing performance, time limitations, and usage scenarios.
Determine NFT usage permissions: Consider binding computing power NFTs to specific users or purposes to ensure the reasonable use and circulation of NFT value. This can be achieved through smart contracts, restricting the use of corresponding GPU computing power to users who hold specific NFTs.
Establish a trading platform: Create a dedicated platform for trading GPU computing power NFTs, allowing users to buy, sell, lease, or exchange computing power NFTs. This can facilitate the circulation and market development of computing power NFTs.
Provide a variety of computing power options: Consider offering computing power NFTs of different types and performance levels to meet the needs of different users. This can include different types of GPUs and varying computational capabilities.
Build a community ecosystem: Establish an interactive community ecosystem with GPU computing power users, developers, and investors to promote the use and development of computing power NFTs. This can be achieved through organizing events, providing technical support, and sharing best practices.
By implementing the above methods, more GPU computing power users can actively purchase HI tokens, thereby obtaining cheaper and more efficient GPU computing power services and achieving the goal of providing sufficient computing power for seamless entry into the metaverse.
To ensure sufficient computing power, the following methods can be employed:
Increase node providers: Attract more GPU computing node providers to participate in the Hareverse through market promotion and advertising activities. This can be achieved by offering attractive incentive programs, commissions, or other motivating measures.
Partnership collaborations: Establish partnerships with other GPU computing power suppliers to jointly provide computing services. This expands the scope of computing power supply and increases the computing power available in the Hareverse.
Technological innovation: Improve the efficiency of computing power utilization through technological innovation, thus making more effective use of existing computing resources. This can include optimizing algorithms, enhancing hardware performance, or developing new energy-efficient computing devices.
Incentive mechanisms: Design more appealing incentive mechanisms to attract more GPU computing power suppliers. This can involve increasing the reward ratio of HI tokens, regularly organizing promotional activities, or providing additional benefits.
Community development: Build an active community to attract more GPU computing power suppliers to participate in the development of the Hareverse. This can be achieved through organizing online or offline events and providing technical support and training, among other methods.
By combining these approaches, the computing power supply can be increased, ensuring the smooth operation of the Hareverse.
RoadMap
Q1 - 2024:
Complete the foundational development of the GPU service platform.
Business Backend: User management, resource management, technical support, providing bare-metal machine services.
Management Backend: Physical hardware management, pooling management, virtualization management, API development.
Business Backend: web3 login, web3 recharge, node joining.
Management Backend: Optimization and vGPU improvements.
Q2 - 2024:
Open-source development of blockchain fundamentals and consensus protocol.
Integration of GPU service nodes with the blockchain and preliminary implementation of POS mining rewards.
Q3 - 2024:
Continued integration of GPU service nodes with the blockchain and further implementation of POS mining rewards.
Development of a blockchain browser.
Release of mainnet node hardware standards.
Q4 - 2024:
Upgrade and optimize the GPU service platform.
Support multiple applications, frameworks, and out-of-the-box usability.
Project management
Introduce standardized hardware devices.
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