AI and encryption technology have been slowly combining with each other. From the market response of Sora launched by OpenAI to ChatGPT, we are witnessing the advent of a golden age of combining AI and cryptocurrency. With the emergence of more AI-driven applications, AI concept tokens in the encryption market have risen in response, showing huge growth potential.
This year, the AI sector’s tokens such as NEAR, FET, RNDR, and NMT have all seen substantial increases, which further illustrates the broad prospects of the AI market.
io.net, a new player in the AI sector, also received $30 million in Series A funding yesterday. Let's take a quick look at what magic io.net has that attracts us.
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Introduction to io.net:
io.net is an innovative cloud computing project that integrates the current hot technology fields - artificial intelligence (AI), decentralized finance (DeFi), and Solana blockchain. It combines 1 million GPUs together to form the world's largest GPU cluster and DePIN.io.net aggregates GPUs from underutilized resources (such as independent data centers, crypto miners, and crypto projects such as Filecoin and Render) to solve this problem. These resources are combined in the Decentralized Physical Infrastructure Network (DePIN), enabling engineers to obtain massive computing power in an accessible, customizable, cost-effective, and easy-to-implement system.
Its ecosystem includes a combination of software and hardware, which greatly increases the high degree of dependence on the project. It allows machine learning engineers to access distributed cloud clusters at a much lower cost than centralized services. At the same time, the solution proposed by io.net to market problems is also one of the most valuable solutions for research at present.
Reasons why investors pay attention to io.net:
As mentioned earlier, IO.net is a decentralized physical infrastructure network that purchases GPUs worldwide and then rents them out to AI companies that need computing power.
The current problems in the market are:
1. It takes weeks to get a GPU in a centralized cloud service.
2. Little choice over GPU hardware, location, security, or latency
3. OpenAI spends more than $700,000 a day running ChatGPT on centralized cloud servers
The solution is:
io.net solves the problem by aggregating GPUs that are underutilized (such as independent data centers, crypto miners, and crypto projects such as Filecoin and Render). These resources, combined with DePIN, enable engineers to gain massive computing power in the system. It allows ML teams to build inference and model serving workflows across distributed GPU networks and leverage distributed computing libraries to orchestrate and batch training jobs so that they can be parallelized across many distributed devices using data and model parallelism.
In addition, io.net leverages a distributed computing library with advanced hyperparameter tuning to check for optimal results, optimize scheduling, and simply specify search patterns. It also uses an open source reinforcement learning library that supports production-grade, highly distributed RL (reinforcement learning) workloads with a simple API.
Token Information:
Project name: io.net
Token: IO
Release rules: Locked for 3 months and released in 12 months
Estimated valuation: US$1 billion
Conclusion:
io.net is not only an example of technological innovation, but also a model of blockchain applied to real-world problems. It is also one of the most specific large-scale AI network training projects in software and hardware. AI is also the leading core in the current high-tech field. Once the adoption rate of io.net is improved in the future, it may provide a foundation for more universal solutions for the entire AI market, and its market value may exceed ChatGPT.
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