THUBA研报｜render去中心化算力——兼谈depin赛道

Introduction is a decentralized rendering platform, which connects people who need computing power with providers who have redundant computing power. It is mainly used for artificial intelligence, virtual reality and the creation of media and content. The pricing model officially launched in January is dynamic and competitive, taking into account the complexity, urgency and available resources of the work. The workload is distributed among the available providers through the peer-to-peer network of tokens, and the nodes are encouraged to provide redundant computing power. The migration to has brought it new capabilities, such as real-time streaming and dynamics, and a brief introduction to the concept of state compression. The research report of decentralized physical infrastructure will be divided into two main areas: digital resource network and physical resource network. Digital resource network includes storage calculation and bandwidth, while physical resource network focuses on hardware-related fields, such as wireless network, geospatial network, mobile network and energy network. Physical workload proof mechanism encourages individuals to do verifiable work, thus promoting the real-world foundation. Development and efficient utilization of facilities According to the definition of decentralized physical infrastructure, almost all distributed networks can be classified as decentralized hard disks, decentralized computers, decentralized bitcoin account books, track charts, and track charts. Based on the concept of homogenization or not, decentralized resource-based networks can be subdivided into decentralized infrastructure networks. The network model with geographical location as the key element deploys geographically specific hardware devices through incentives to generate non-homogenization. How to understand that resources are irreplaceable? You can see the deployed mobile phone base station China Tower in all parts of the city, but the same kind of base station is located in Shatian, Tsim Sha Tsui, but because of the different geographical location, they can't replace each other. In this sense, each base station is a unique and non-homogeneous resource, a resource-based network with weak dependence on geographical location, which establishes the market through incentive mechanism and increases the supply of existing or idle alternative resources. These resources are made up of geographical location. Hardware generated in the field of cloud services is similar to cloud facilities as a service, such as using storage, user experience is usually weakly related to the geographical location of users, and the degree of homogenization of services is high. Industry research on the status quo of traditional industries, the current industry faces the following two obvious dilemmas: high entry threshold, high competition, insufficient pricing, monopoly by giants, and the need to invest a lot of money in the construction of data storage and cloud computing clusters, which makes the high cost of hardware purchase, venue lease and personnel employment almost only. Only giant enterprises can join this industry, such as cloud computing and data storage, and their common market share is close, which leads to high cost, low utilization rate of centralized infrastructure resources, which is a major challenge in today's business operation. This problem is particularly prominent in the cloud computing environment, and companies usually allocate a large amount of budget for cloud services. According to recent reports, there is a worrying trend. On average, the company's cloud budget is wasted. It means that one-third of the company's resources are idle after cloud spending, which has caused huge financial losses. The advantage of changing from capital-intensive industries to new models has lowered the threshold for enterprises to participate, broken the price monopoly, and enabled users to have more economical choices to reuse idle resources and improve the efficiency of resource utilization. In the traditional economic model, many resources are idle and fail to play their potential value. Many users hold many idle resources, whether it is storage computing power or data, the key lies in how to mobilize them. Some resources encourage users to share and use their resources through incentive mechanism, which maximizes the utilization rate of resources. Taking the cloud as an example, according to the report, the effective utilization rate of enterprises purchasing the cloud in the year only means that some cloud resources are wasted. Considering that the annual cloud expenditure is expected to reach nearly 100 million US dollars, this means that it is roughly estimated that hundreds of millions of US dollars of cloud expenditure is wasted, and this part of wasted resources can be used to eliminate middlemen's money and flow more efficiently. The traditional Meituan public comments on such projects as Didi. The platform charges a high intermediary fee, which is equivalent to a tax wedge. The social efficiency has not reached the optimal state. Many projects on the track have tried to solve this problem, such as taxi application, take-away application, public comment application and so on. The relationship agreements often need real-time response and low transaction costs. Now many agreements tend to use the existing ecosystem instead of building their own chains. At present, many leading agreements have migrated to rely on their high-speed blockchain and such as second block time and direct. Handling verifiers and other characteristics are very suitable for providing more cost-effective authorization certificates for nodes. This is a common practice. More and more protocols are selected as their basic layers, and almost all the sub-areas of the protocols have been successfully integrated, which provides proof for the concept of initially having doubts about these protocols. Judging from the top projects in the current market value of the fields, most of them belong to the fields. The introduction of the project party was founded by a company specializing in rendering technology and the world. The founder of the first fully utilized commercial rendering software was a cloud graphics company that provided rendering solutions for Hollywood studios and artists. The idea of rendering the network was born in. At that time, a white paper outlining the technical details of the network was released. The subscription account can be directly accessed, which is also the only way to use computing power. Any task that can be used for rendering can be put on the internet to render the architecture of token economic models, including movies, animation games, virtual reality scenes and so on. In the current state, The offline rendering network consists of two main layers, including the creator node, the operator rendering network and the rendering application layer supplier node. The operator is the node that provides network power, and the blockchain layer node operator and the creator interact with each other in the distributed network model arbitrated by the server core network infrastructure. It is a proprietary benchmark tool and the most popular rendering benchmark test at present, which is used to measure the rendering speed in points per hour. The pricing of rendering tasks is used for standardization and benchmark test performance to ensure that creators receive consistent performance pricing when requesting node operators to do their work. The cost of any task is taken as a unit, and the multi-layer pricing algorithm is used to determine tokens as practical tokens for on-demand rendering services. By paying the cost of rendering work, creators can access various providers with different speed, security and price levels. The current pricing is divided into three layers: the first layer, the trusted partner, the first layer, the first layer, the economy and the already available incentive mechanism, which will be launched in the future. Node operators can use idle energy. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

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