SOL ecosystem welcomes a new blockbuster product. After JUP, JTO, and RAY, IO.net is about to be launched. This is also a new project of Binance. Based on our investment research and analysis, today we will predict the price of this new project:
1. Price prediction
Price prediction for $IO.
Initial total supply: 500,000,000 IO
Maximum token supply: 800,000,000 IO
Initial circulation: 95,000,000 IO (19% of the total initial token supply)
Total mining volume: 20,000,000 IO (4% of the total initial token supply)
Halving mechanism:
Token Release Plan
2024-2025: 6,000,000 $IO tokens released each year.
2026-2027: Release halved to 3,000,000 $IO tokens per year.
2028-2029: The release amount continues to halve, with 1,500,000 $IO tokens released each year.
Price Prediction
Optimistic Scenario: If the market reacts positively, $IO could open above $4.8 and could potentially reach $12 or even higher.
Conservative scenario: In a relatively stable market environment, the price of $IO may fluctuate between $4-7.5.
Currently, $IO is trading at nearly $5 in the OTC market. Under the current circumstances, I suggest buying some spot in the $3-5 range.
Project Outlook
The emergence of io fills the gap in the field of decentralized computing and provides users with a novel and promising way of computing. Although the market has given io a high valuation of $1 billion, its products have not yet been tested by the market, and there are technical uncertainties and supply and demand matching challenges.
If it can quickly meet market demand and avoid major risks and technical problems in operation, http://io.net will have the potential to become one of the most promising projects in the Web3 field.
As a project that has the triple halo of AI, DePIN, and Solana ecology, let us wait and see how its market value performs after its launch.
IO price query on AEVO: https://app.aevo.xyz/perpetual/io
2. Strong narrative
In the current trend of globalization, the combination of AI and DePIN is a perfect match. DePIN (Decentralized Physical Infrastructure Network) is expected to attract a large amount of computing power demand. If DePIN can successfully integrate supply chain cloud services such as GPUs, or mobilize global hardware devices to build an infrastructure network, it will show great potential in large model training, distributed machine learning, data storage verification mining, distributed reasoning and other fields.
GPU is the core of AI development. With the continuous advancement of AI innovation, Nvidia's market value surpassing Apple also proves the importance of GPU. GPU will become one of the most valuable assets in the world. Therefore, the combination of AI and DePIN will become the main line of the new round of bull market after DeFi Summer.
io,net is a Solana-based DePIN protocol designed to solve the GPU resource coordination problem. Similar to DeFi eliminating middlemen and pooling liquidity, io,net solves the inefficiency problem in the GPU market by incentivizing participants to cooperate.
io,net is not only a model of technological innovation, but also a representative of blockchain solving real-world problems. The project team is committed to pushing boundaries and bringing more possibilities to the Web3 world.
In short, io,net integrates idle GPUs into a shared platform for everyone to use. Relying on the Solana blockchain, io,net provides a decentralized and permissionless global collaboration, verification and payment platform that enables users to share idle GPU computing power in hardware clusters such as data centers, crypto mining farms, gaming computers, and high-performance workstations. This decentralized computing power sharing platform not only improves the utilization rate of GPU resources, but also opens up new application scenarios and business models for the combination of AI and DePIN.
There are three main groups within the IO ecosystem:
GPU Renters (also known as Users)
For example, when machine learning engineers purchase GPU computing power on the IOG network, they can use $IO to deploy GPU clusters, cloud gaming instances, and build Unreal Engine 5 (or similar) pixel streaming applications.
GPU owner (also known as vendor)
For example, independent data centers, crypto mining farms, and professional miners are looking to make their underutilized GPU computing power available on the IOG Network.
IO Coin Holders (also known as the Community)
Participate in providing cryptoeconomic security and incentives to coordinate mutual benefits and penalties between parties to promote the growth and adoption of the network.
3. Core issues
3.1 What problems does the project solve and what value does it create?
Specifically, io.net solves the following practical problems:
Limited availability of GPUs: Obtaining hardware resources through traditional cloud services may take weeks to wait, and popular GPU models are often out of stock. io.net provides a decentralized physical infrastructure network (DePIN) by integrating underutilized GPU resources from independent data centers, crypto miners, and other hardware networks (such as Filecoin, Render, etc.), allowing engineers to access distributed cloud clusters at a lower cost.
Poor selection: When using traditional cloud services, users have very limited choices in terms of GPU hardware, location, security level, latency, etc. io.net, through its DePIN, provides an accessible, customizable, cost-effective and easy-to-implement system that enables users to choose the corresponding computing resources according to their needs.
High cost: The cost of acquiring high-performance GPUs is extremely high, and projects may spend hundreds of thousands of dollars per month for training and inference. io.net reduces this overhead by aggregating GPU resources from different sources to provide computing power at a lower cost.
In addition, io focuses on four core capabilities to further optimize AI/ML workflows:
Batch Inference and Model Serving: By exporting the trained model’s architecture and weights to shared object storage, you can parallelize inference on batches of incoming data.
Parallel training: Leverage distributed computing libraries to coordinate and batch training jobs for parallelization using data and model parallelism across many distributed devices.
Parallel Hyperparameter Tuning: Hyperparameter tuning experiments are inherently parallel, and io.net leverages distributed computing libraries for advanced hyperparameter tuning to checkpoint best results, optimize scheduling, and simply specify search patterns.
Reinforcement learning:io uses an open source reinforcement learning library that supports production-level highly distributed RL workloads and provides a simple set of APIs.
Through these solutions, io aims to provide AI/ML engineers with a powerful, flexible, and cost-effective computing resource platform to support their R&D and innovation activities.
3.2 Is the project’s technology feasible?
Both blockchain application technology and computing power resource integration and call are feasible technologies. Nevertheless, there are still some technical challenges that need to be overcome, such as ensuring the stability of the network, handling fault tolerance, data security and privacy protection. Although these challenges exist, they are not insurmountable, especially for mid- and early-stage projects, and there is no need to worry too much. Through continuous technological evolution and practice, these problems can be gradually solved, and over time, projects will be able to better cope with these challenges.
3.3 Is the project CX-feasible?
The io,net project originated from Solana Hackathon and has received support from many investment institutions, including Multicoin, Okx, etc., and has a certain natural traffic advantage. Recently, ArkStream Capital successfully completed the A round of investment in io,net, which was led by Hack VC and participated by more than 20 well-known VCs and angel investors from home and abroad. The total financing amount reached 30 million US dollars. io,net focuses on hot areas such as Depin, GPU, large models, artificial intelligence, Solana, etc., so its prospects are still worth looking forward to.
We can deduce the market value range of IO and NET in two ways:
1. Market-to-sales ratio, i.e. market value/revenue ratio;
2. Market value/number of network chips ratio.
Let’s first look at the valuation deduction based on the price-to-sales ratio:
From the perspective of price-to-sales ratio, Akash can be regarded as the lower limit of IO's valuation range, while Render is used as a reference for high-end pricing, with an FDV range of between $1.67 billion and $5.93 billion. However, considering the updates and popularity of the IO project, as well as the small early circulating market value and the current larger supply-side scale, it is not unlikely that IO's FDV will exceed Render. On the other hand, valuation comparisons can also be made from the perspective of "market-to-core ratio".
In a market environment where the demand for AI computing power exceeds the supply, the importance of the distributed AI computing power network is mainly reflected in the scale of the GPU supply side. Therefore, we can use the "market-to-chip ratio" for horizontal comparison, that is, compare the total market value of the project with the number of chips in the network to deduce the possible valuation range of IO.NET as a market value reference.
If we use the price-to-core ratio to estimate the market value range of IO, with Render Network as the upper limit and Akash Network as the lower limit, its FDV range may be between US$20.6 billion and US$197.5 billion.
However, it is necessary to consider that IO currently has such a large number of online chips, which may be affected by airdrop expectations and incentive activities. Therefore, once the project is officially launched, we still need to observe the actual number of online chips on its supply side.
To sum up, valuation calculations from the perspective of price-to-sales ratio may be more relevant, but price-to-core ratio also provides another perspective to evaluate the potential value of a project.
[If you like spot trading and want to roll funds together, click on the avatar to buy bull market spot trading, follow my homepage introduction to find me, share for free, work-weight-consumption: same name]
