Four Pillars Research Report: How does IO.NET bring a better sharing economy?

Author: Four Pillars

Compiled by: Xiaobai Navigation coderworld

Main points

• The concept of sharing economy is to lend idle goods or services to those in need to optimize resource utilization. It has become a consumer culture and economic system, and has attracted much attention against the backdrop of increasingly rational consumption patterns and advances in information technology.

• However, with the rapid expansion of the sharing economy market and the increase in the number of users, various negative effects have gradually emerged, including the decline in service quality, the monopoly of early market participants, strong opposition from existing industry practitioners and related regulatory issues.

• BlockchainTechnology makes it possible to digitize a wider range of assets and expand economies of scale, which can serve as an effective foundation for building a sharing economy. IO.NET has successfully opened up the use of idle computing resources and demonstrated its potential in this regard.

one,Every system is about resource optimization

Systems are collections of interacting elements that are where our lives are. These systems range from biological systems that sustain life to systems where social groups share common values and identities, and even the interactions of stars and planets in cosmic systems such as galaxies. By taking a systems perspective, we can better understand our surroundings, analyze and improve these systems, and create a better world.

The core goal of the system is to operate in an economically sustainable and stable manner. Therefore, the most critical aspect of designing the system is toOptimize and arrange its components(i.e., resources). For example, in order to optimize the healthcare system, it is necessary to effectively deploy medical staff, use electronic medical records (EMRs), and provide telemedicine services to ensure that all patients receive timely and appropriate treatment. Such optimization can improve the efficiency of medical services, reduce treatment costs, and improve patient satisfaction and medical outcomes.

However, as the needs of various industries become increasingly diversified, the complexity of each system design is also increasing, so system optimization research is becoming more and more important. Due to limited resources, the asymmetry of development between various service systems has further aggravated this problem.Sharing EconomyConcept, aroundLend unused goods or services to those in needThe concept provides important inspiration for solving system resource optimization problems.

2. Sharing Economy Promotes Resource Optimization

2.1The history of the sharing economy

The act of sharing resources, like the large communal ovens of medieval European villages or the Korean “pumasi” culture (shared agricultural labor), has existed throughout history. However, the concept has only recently begun to take on a commercial orientation with the goal of generating profit (i.e., the sharing economy). Today, the sharing economy is gaining attention for two main reasons:First, consumption patterns are becoming more rational, and second, information technology is advancing..

Before the Industrial Revolution (i.e. agricultural society), people’s demand for goods was generally high, but the supply was limited. After the Industrial Revolution (i.e. industrial society), although the supply increased significantly, it was not always able to meet all the demand, and demand forecasts occasionally went wrong. As we entered the knowledge society, production and technology continued to advance, and both demand and supply became abundant - it is difficult to find a person without a mobile phone today, and new models of mobile phones are still being produced and consumed.

However, this pattern of overconsumption and overproduction has led to excess resources (i.e., inventory and idle resources), which has placed a burden on both consumers and producers (i.e., suppliers) since the late 2000s, prompting the world to move towardsEvenreasonChanges in consumption patterns.

Reasonable consumption patterns include not only consumers making thoughtful decisions about price and quality when purchasing goods, but alsoIncluding sharing and reuse of excess or surplus resourcesPreviously, it was difficult to share these surplus resources due to physical constraints. However, now, advances in information technology have brought about advanced digital platforms that facilitate connections between people, which has greatly promoted the emergence of the sharing economy, connecting individuals who pursue rational consumption with those who aim to maximize profits.

The sharing economy goes beyond individual resources and covers the resources of the entire industry. It is a new economic system and consumer culture that can promote social wealth and economic development in the digital age. Nowadays, various platform services are emerging in an endless stream, and not only individuals, but also start-ups and large enterprises can use various shared resources, such as the required IT technology, data, software and hardware.

Ride-sharing and car-sharing services

• Uber and Lyft – connecting drivers who own their own vehicles with passengers

• Turo and Getaround – allow individuals to rent out their personal vehicles to others

Accommodation Sharing

• Airbnb and Vrbo – Enable homeowners to rent out their homes, apartments or rooms to guests.

peer to peerBorrowing

• LendingClub and Prosper – facilitate peer-to-peer lending, allowing individuals to lend idle funds directly to others without going through traditional financial institutions

Freelancers and Assignment Services

• TaskRabbit and Fiverr – Allow individuals to provide or receive services such as furniture assembly, home repairs, and graphic design.

Clothing and accessories rental

• Rent the Runway and Poshmark – make it easy to rent or lend second-hand clothing and accessories

Tool and equipment sharing

• Fat Llama – Allows individuals to rent out their own tools toCommunityresident

Office Space

• WeWork and Regus – flexible shared office space for individuals or companies

2.2 Sharing economy platforms face challenges in sustainability

As mentioned above, the concept of the sharing economy has penetrated into all walks of life and has begun to show significant results, allowing the market to expand rapidly.Business Research InsightsIt is predicted that by 2031, the scale of the global sharing economy will exceed 1 trillion US dollars and will continue to increase year by year.

However, this assumption is made under the ideal condition that the sharing economy platform operates smoothly. At present, with the rapid development of the sharing economy market and the increase in the number of users, some negative effects have emerged. These include the decline in service quality, the monopoly position of early market entrants, and strong opposition from existing industry practitioners and regulatory issues.

2.2.1 Incompatibility with existing systems

Sharing economy platforms have brought innovation to a stagnant supply-centric market and are widely supported by users because they provide services that are different from traditional companies. However, new systems always clash with old ones. The sharing economy industry is facing huge challenges both domestically and internationally.conflict, especially with government licensing regulations and conflicts with existing companies over market share.

For example, Uber connects users with nearby drivers through a smartphone app, which is considered to have disrupted the traditional taxi industry's revenue model and reduced the value of taxi licenses, leading to regulatory and legal disputes in many cities. Airbnb allows individuals to rent out homes or rooms, often providing cheaper and more unique accommodation experiences than traditional hotels, thus affecting the demand for hotel rooms, especially in tourist cities, and also triggering problems such as changes in the living environment and rising rents.

Therefore, the conflict with the existing system is a major obstacle to the sustainable development of the sharing economy platform and a serious challenge that must be addressed. The platform should spare no effort to cooperate with regulators to develop a reasonable regulatory framework for the existing industry, protect the interests of all stakeholders, and promote fair competition in the market.

2.2.2 Unfair charging policies

In addition to the above issues, a structural criticism that the sharing economy industry often faces is that, while all sharing economy platforms facilitate efficient market exchanges, the profit-seeking businesses that operate these services often becomeMore centralizedThis means that the role of sharing economy platforms in allocating the value generated by transactions between providers and consumers is different from their role as profit-seeking enterprises.Conflicts between charactersThis contradiction is most clearly reflected in the abnormal charging policies implemented by monopolistic platforms.

A fair fee structure is critical to the financial sustainability of the platform. For example, excessively high fees will burden service providers and cause them to leave the platform, while too low fees may damage the platform's profitability. Therefore, service platforms must determine acceptable and industry-standard fees through market research and competition analysis. In addition, platforms should ensure transparency in fee structures to build user trust, review fee policies regularly, and flexibly adjust them to market changes based on user feedback.

2.2.3 Impossible to implementEconomies of scale

Realize the integration of supply and demand on the sharing economy platformEconomies of scaleThis is particularly important for two reasons. First, it can improve customer satisfaction by reducing the costs of keeping the service running; second, it can ensure the continuity of service.

Typically, traditional systems predict demand for service resources and manage supply, potentially ensuring service continuity. However, on sharing economy platforms, the platform does not control the amount of resources provided, and transactions are almost peer-to-peer, so the entire platform must prepare a large amount of supply capacity in advance to ensure demand and generate a large number of transactions.

Therefore, the platform should not only lower the entry threshold for demanders, such as simplifying the user interface, providing multiple payment methods, and supporting multiple languages, but also help suppliers effectively manage services and optimize profits by simplifying the service registration process, introducing training/support programs, and providing tools and resources, thereby improving the accessibility of services.

2.2.4 Counterparty risk and lack of operational policies for quality control

The development and expansion of sharing economy platforms have attracted users and service providers from different backgrounds and skill levels. As the scope and nature of resources provided on the platforms have diversified,Maintaining consistent service quality is becoming increasingly challenging.And it may undermine user trust. To solve this problem, the platform needs to establish a systematic and sound quality control system.

For example, it may be necessary to conduct a thorough pre-selection and training program for all service providers to establish basic service delivery standards. In addition, an ongoing feedback and performance monitoring system should be implemented to provide further training or guidance when necessary. In addition, actively using user feedback to quickly address any shortcomings in service quality is also an effective approach - in fact, many sharing economy platforms currently provide a rating system, and providers with ratings below a certain level will be punished for their service behavior.

2.3 ExploitationBlockchainDeveloping a better sharing economy

However, from a realistic perspective, it is not easy for sharing economy platforms that are poised for substantial growth to fully address the above challenges. Moreover, it is not easy to believe that these platforms, especially those that are for profit, will not increasingly allocate the value generated by transactions to themselves, which will make us continue to payThe cost of uncertainty.

One idea to make the sharing economy more sustainable by structurally weakening the authority of intermediary platforms is to useBlockchain。区块链基于其自身的激励机制，可以在大量参与者中激发出Unexpected spontaneity, thereby achieving rich resource sharing and making the service system run in a more transparent and trustworthy manner.

2.3.1 Real P2P Resource Sharing

As mentioned above, one of the goals of profit-seeking sharing economy platforms is to protect the platform profits (i.e., fees) generated from individual transactions. Therefore, traditional platforms restrict users to the platform, do not disclose contact information, and almost prohibit contact outside the platform. Including these examples, operating a platform involves various management costs in addition to basic infrastructure operation and maintenance costs.

However, the decentralized nature of blockchain networks can facilitate true peer-to-peer transactions without additional management costs and high intermediary fees, and minimize the impact of centralized server failures or attacks.

2.3.2 Ensuring abundant idle resources through incentives

The basic principle of system optimization is to maximize the use of idle resources. Usually, the vicious cycle that hinders the sustainable development of the sharing economy system stems from insufficient resource supply. If the system is built using blockchain and a good incentive mechanism is designed, it can easily attract many providers with idle resources. This provides a buffer to meet overall demand and greatly improves the efficiency of the sharing economy platform.

Sufficient supply ensures the continuity of services, and since there is no intermediary platform, the fees are also reduced, making it easier for the platform to attract service users. Under these conditions, both the supply and demand sides achieve economies of scale, which helps to form a sustainable sharing economy system, provided that the quality of services is maintained at a certain level.

2.3.3 UsageintelligentcontractDefining Code of Conduct

Intelligence on the blockchaincontract可自动执行特定的交易条件，使共享经济模式下的交易更加高效和透明。以汽车共享服务为例，一旦用户使用完车辆，智能contract就能自动执行付款流程，必要时还能自动退还押金。因此，智能合约大大降低了服务管理成本，提升了用户体验，确保所有交易都符合全球标准/政策。

Smart contracts can also design appropriate incentive mechanisms and penalty rules to prevent malicious behavior and promote fair competition within the system. This can not only motivate users to abide by the rules, but also play an important role in maintaining the quality and reliability of the entire service system. In essence, the use of smart contracts can allow sharing economy platforms to provide more stable and sustainable services, creating a trading environment that is beneficial to both users and providers.

2.3.4 More trustworthy open services

Today’s sharing economy platforms face the challenge of adapting to different regulations and environments across service sectors. Of course, this can be a limitation as many services are still based on sharing physical resources such as vehicles or space.If you can passBlockchain TechnologyBy digitizing physical assets, future sharing economy platforms will be able to facilitate cross-border transactions of various digital assets.In addition, usecryptocurrencyPayments can reduce transaction costs, enable small transactions, and provide low-income people with the opportunity to rent low-value goods. Therefore, these changes can further democratize the sharing economy and enable transactions of the same value on a global scale.

3. Case Study:IO.NET Computing resource sharing

As mentioned above, most existing sharing economy services are still largely limited to physical resources and are highly dependent on local regions, making it difficult to apply the same rules and operate across borders. However, digital resources (i.e., digital assets) managed online are less affected by such regional characteristics and are therefore easier to operate on an international scale.

In this section, we will explore IO.NETThe operation and long-term vision of the blockchain is to democratize computing resources in the context of blockchain. IO.NETWhat are its advantages over traditional cloud computing platforms such as AWS in terms of efficient use of computing resources?

3.1 Challenges in the supply and demand of computing resources

The development of artificial intelligence technology has greatly increased the demand for high-performance computing resources such as GPUs. Precedence ResearchAccording to data from , the global artificial intelligence hardware market is expected to grow at a compound annual growth rate (CAGR) of 24.3% and will exceed US$473.53 billion by 2033.

However, despite booming demand,AI/ML models are becoming increasingly complex, but the global AI hardware market is struggling to keep up with productionChallenges,andTransnational political/diplomatic conflictsThis challenge is compounded by the pandemic, which has led to a supply crisis. As a result, obtaining popular computing chips can require high costs and long waits, and rental options are limited. This has particularly hampered AI startups from expanding the scope and capabilities of their projects.

While AI has the potential to change and improve our lives in a variety of ways, observing more diverse innovations requires many AI startups to have cost-effective, scalable computing resources to back them up. Without addressing these computing resource issues, the AI industry may face a crisis of stagnation in various innovation efforts, whileAsymmetric development of the AI marketIt may lead to significant social impact.

3.2IO.NETThe solution

3.2.1aboutIO.NETofOverview

Ultimately, the key issue is how to simultaneously achieve adequate provision of computing resources in a cost-effective manner while ensuring quality. IO.NETIt is a coordination layer based on Solana, which solves this problem by integrating idle computing resources from data centers, miners, crypto projects (such as Render Network, Filecoin), and consumers - providers of computing power gainTokenAs a reward, users use theseTokenCost-effectively provision various types of idle computing resources for its GPU clusters*.

*Currently, $ is being launchedIO TokenPreviously, payment methods supportedFiat Currency and USDC, but in the future it may also support other network tokens including $IO tokens. Non-$IO token payments requireCharge 2% handling fee.

IO.NETLeverage clustering frameworks such as Ray and KubernetesCluster frameworks such as IO Cloud and IO Cloud can be used to configure clusters and set processor type, location, communication speed,SafetyCompliance level and duration are used to process workloads in parallel. IO.NETThe configured cluster can be used for general computing purposes, but is primarily targeted atAI/ML development tasks such as batch inference, model serving, parallel training, parallel hyperparameter tuning, and reinforcement learning.

IO.NETWe have a partnership with Render Network and Filecoin’s mining network, and users can mine from these two networks as well as IO.NETAs a cluster provider, the supported processors include various GPU and CPU options, such as NVIDIA RTX series, AMD Ryzen series, and Apple's M series, which provide users with a high degree of flexibility in configuring processors and can organically adjust the number of GPUs in the cluster as demand changes.

*Soon there will be support for frameworks for various purposes,like Ludwig,PyTorch, Unreal Engine 5, Unity Streaming, etc.

As of this writing (April 21, 2024), clusters can be configured in about 140 countries, with a total of nearly 970,000 GPUs available on the platform. However, the actual number of users using GPUs through the (nascent) IO.NET platform is only about 15,000. IO.NETThe actual number of users using GPUs is still small. Most GPU workloads are 0%, while popular processors are often initially limited in supply or have been used to a capacity of 90% or more (e.g., A100 PCIe 80 GB K8S (NVIDIA), H100 80GB HBM3 (NVIDIA), RTX A5000 (NVIDIA)).IO Explorer, approximately 6,270 clusters have been created to date, with payments of approximately $910,000.

In fact IO.NETIt is not the only project in the Web3 market that provides computing resources; there are various other leading projects in this field, including Akash, Render Network, and Filecoin. However, as mentioned earlier, IO.NET’s competitive advantage lies in providing dedicated computing power for AI/ML and introducing clustering rather than single instantiation, which allows computing resources to be dynamically allocated among connected GPUs and optimizes the distribution of workloads.

To be Xiaobai NavigationGPU suppliers (i.e. IO Workers) and generate revenue, users can first Worker After filling in the details of the operating system and device that the user wishes to provide, the process will proceed as shown in the figure below, where the user can manage multiple devices and view the revenue status on the Worker tab.

3.2.2 IO.NET Structure

IO.NETIO.NET uses a modular architecture consisting of multiple layers, each optimized to perform its unique function. In addition to the technology stack for each layer listed below, IO.NETCombining reverse tunneling and mesh VPN networks, engineers canSafetyAccess and control data smoothly.

• user interfacelayer As a gateway for user access IO.NETGateway to services. (e.g. ReactJS, Tailwind,web3.js, zustand)

• Safetylayer Ensure system integrity andSafety(For example, firewalls (pfSense, iptables), authentication (OAuth, JWT), logging services (ELK Stack, Graylog)

• API Layer –A middleware layer that acts as a communication hub. (e.g., FastAPI, Python, GraphQL, RESTful API, gunicorn, solana)

• Backend Layer –Managing providers (workers), cluster/GPU operations, client interactions, monitoring, etc. (e.g. FastAPI, Python, Node.js, Flask, solana, IO-SDK (fork of Ray 2.3.0), Pandas)

• Database Tier Manages primary storage for structured data and caches for transient data. (e.g., Postgres (primary storage), Redis (cache)

• Task layer Coordinate asynchronous communication and task management to ensure efficient data flow. (e.g. RabbitMQ (message broker), Celery (task management)

• Base Layer Manage GPU pools, deployments, compute, and machine learning tasks. (e.g., orchestration (Kubernetes, Prefect, Apache Airflow), execution/ML (Ray, Ludwig, Pytorch, Keras, TensorFlow, Pandas), monitoring (Grafana, Datadog, Prometheus, NVIDIA DCGM), etc.)

3.2.3 Tokens of $IO and IOG networks will be released soon

IOG Network and Ecosystem

The long-term vision of IO.NET is to create a computational operation currency (i.e. $IO token) and build an ecosystem based on it. Therefore, the $IO token designed according to the Solana Token Standard (SPL) will be launched around the second quarter, and the "IOG Network" also based on Aptos and Solana is also under development. The IOG Network will be equipped with a full set of services for building, training and deploying different machine learning models. IO.NETThe kit will also be connected to the network. In addition, a universal ID (IO ID) for the IO ecosystem and an open source SDK for developers to deploy their services are also being developed.

The operation of the IOG network will be managed by nodes that provide on-demand computing resources. These nodes must stake at least $100 in IO to receive operating rewards – availability rewards (i.e. idle rewards). Like other Delegated Proof of Stake (DPoS) protocols, $IO token holders can also pre-set a maximum stake on each node (i.e. the maximum stake per node) and ensure the fidelity of the network in exchange for rewards (excluding node fees for 5%).

Per Node Max Stake = Device Max Stake x (2 + 3 x [SUM of Modifier Options])

Maximum per nodepledge = Maximum pledge of device x (2 + 3 x [buildModifierThe sum of])

*Once pledged, $IO needs 7 days to unstake, and $IO cannot unstake while the node is rented.

About $IO Token Demand and Supplier Rewards

$IO tokens can not only be used to IO.NET Reserved GPU clusters can also be used to deploy various types of applications (or instances) hosted on the IOG network using the SDK, as well as use multiple inference models. When reserving or renting a GPU, the network charges a fee of 0.25%. After reviewing the performance and running time of the reserved node according to the slashing conditions, rewards will be paid to the provider - called "rental fee or rental rate" in the IOG network. If the provider receives a deposit from a $IO token holder, 1% of the reward will be returned to the deposit holder.

Total Hire Rate=Current # of Cards on the Worker x Current Card Price x Computation Hour Reserved x (1 + SUM of Modifier Options) x 99% Supplier Share*

Total employment rate = current number of work cards x current card price x reserved calculation hours x (1 + total modifier options) x 99% supplier sharesForehead *

*Modifier options are IO.NETItems that identify additional services and hardware deployed by the provider to improve overall cluster performance (e.g., bandwidth, location, GPU interconnect options, node disk properties).

The aforementioned “Availability Rewards (Hourly)” are separate node running rewards introduced in addition to the “rental fees” to encourage sufficient supply on the network. These rewards are calculated per node and take into account various factors such as bandwidth, percentage of uptime, hardware type, etc. As with the “rental fees”, if the supplier receives a deposit from a $IO token holder, then 5% of these rewards will be returned to the deposit holder. In addition, to prevent nodes from constantly connecting and disconnecting, there will be a 12-hour cool-down period to activate the availability reward every time a node is shut down or reconnected after being suspended.

Approximate Per Node Hourly Availability Rewards = Staker Collateral Multipler x (Hardware CapEx / Hours in 18 Months) Uptime Percentage x 95% Supplier Share

Availability reward per node per hour = pledgeAdd-on multiplier x (Hardware capex/hours in 18 months) Uptime percentage x 95% vendor share

$IO Token Distribution Plan

$IO has a fixed total supply of 800 million, of which 500 million are initially used for circulation, and the remaining 300 million are allocated to suppliers and subscribers (i.e.Community奖励）。这些社区奖励从第一年的 8%开始，每月递减约 1.02%（每年约 12%），直到达到 8 亿美元IO 代币的总量，采用通货紧缩模式。

As mentioned earlier, the IOG network generates revenue by charging booking and rental fees (i.e. 0.25%) and payment and withdrawal fees (i.e. 2% when withdrawing in USDC). The network then determines the amount of $IO to be burned based on the price of $IO and uses the revenue to purchase and burn $IO tokens.

3.3 Cloud ServicesImpact and Advantages

First, one of the most obvious advantages of IO.NET over traditional cloud services is that anyone, regardless of technical expertise, can easily share their idle computing resources and earn rewards with just a few clicks. This greatly reduces the barrier to entry, meaning that individuals can share idle resources effortlessly as long as the rewards are properly distributed, and it also facilitates the easy launch of abundant computing resources from the supply side. Therefore, users can quickly build a cluster with the required GPUs without signing a long-term contract or enduring the long waiting time common in traditional cloud services.

In addition, IO.NET provides a relatively cheaper and more flexible development setup. IO.NETThe resources shared on the network are mainly idle computing resources of individuals, which means that they do not incur high maintenance costs like large data centers, thereby reducing the marginal cost of suppliers. In addition, the diversity of suppliers ensures a wide selection of computing resources and eliminates the risk of system downtime. IO.NETFurther support for various frameworks through IO Cloud improves users' development efficiency and goes beyond the general possibilities of cloud services.

The third advantage is the prosperity of the IOG Network ecosystem, which is due to the widespread demand for $IO tokens. As mentioned earlier, $IO tokens can be used not only to reserve computing resources, but also to build and use various applications or instances hosted on the IOG Network. The large demand for tokens increases the supply demand for $IO tokens, which in turn promotes the liquidity of abundant computing resources within the ecosystem.

also, IO.NETThe success of IO.NET has enabled small investors to actively participate in the computing resource market. Until now, the allocation of computing resources has been monopolized by a few large companies such as AWS, GCP, and Azure. However, for small investors who view computing resources as investment assets, IO.NET is a good choice. IO.NETIt provides a marketplace where anyone can easily buy and trade idle computing resources. If one of the core goals of finance is democratization, then IO.NETis a classic example of achieving this kind of financial inclusion.

In addition, if large-scale idle computing resources can be managed effectively, their utilization rate will be improved, thus contributing to a green environment.

3.4 Challenges and Thoughts

As has been repeatedly emphasized, the blockchain-based sharing economy system,IO.NETThe optimistic outlook assumes that the incentive mechanisms are well designed to achieve economies of scale. In other words, if these mechanisms are not well designed, or if the initial supply bootstrapping or the delicate balance between supply and demand is not well managed, it could lead to a vicious cycle where token value, resource supply, and service quality all collapse simultaneously.

Therefore, system designers must not only ensure that current resource supply levels are adequate, but also be vigilant to prevent a situation where supply exceeds demand. If there are more suppliers active on the network than there is demand, this could lead to a significant dilution of token value in the short to medium term, which could result in a large outflow of suppliers or increased volatility in resource supply.

Likewise, it is critical to ensure that incentives to suppliers are not too high. Excessively generous incentives may encourage potential suppliers to purchase additional resources beyond idle assets simply for the sake of higher profits, which could disrupt the balance of supply and demand in the entire computing resource market and potentially lead to market failure.

Finally, if access to financial resources is expanded excessively, it may encourage speculation and obscure the original intention of demand. Therefore, it is also crucial to ensure that token liquidity circulates mainly between actual users.

4. Looking forward to another “Uberization”

In the concept of blockchain, many unspecified individuals gather around a P2P network centered on valuable assets, which coincides with the concept pursued by the sharing economy. In other words, if we assume that more value can be reliably digitized on the blockchain in the future, then we might as well think that the future of the sharing economy is not in the physical field, but in the blockchain space.

IO.NETis the best example of this potential. It has successfully launched a valuable digital shared resource that many people can utilize. As mentioned in the article, it will be crucial to maintain a delicate balance between token demand and supply in order to continuously provide high-quality, abundant resources on the platform.

In the face of continued uncertainty in the global economy and a persistent value-based consumption model, resource optimization becomes an inevitable task. To effectively promote the sharing economy approach to this field, it is necessary to build a larger economy around a wider range of assets.

Digital resources can transcend physical limitations and instantly connect people on the other side of the world. Blockchain technology has the ability to mobilise the value of various assets and bring together many people in this value flow to build an efficient economic system. IO.NETStarting with examples like these, we hope to soon begin experimenting with optimizing a wider range of resources on the blockchain, potentially bringing something like another Uberization of our lives.

The article comes from the Internet:Four Pillars Research Report: How does IO.NET bring a better sharing economy?

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