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Io.net (Io) is a decentralized network of graphic units for processing (GPU) and the central processing unit (CPU) designed to provide a scalable and effective approach to calculate resources. Decentralized Physical Infrastructure Network of Project (Dein) provides increased flexibility and control of computer resources to suppliers and customers. The main focus of io.net is to provide GPU resources for machine learning (Ml) and artificial intelligence (Ai) Applications on a scale. Built on originally on top RayThe United Open Code for Saculation of AI and Python Apps, IO.NET supports a wide range of machine learning frames-in-inclusion Tensorflow,, PithorchAnd others – illuminating everything, from distributed training and adjustment of the hyperparameter to the serving of the model.
Its system intelligently coincides and groups resources based on the connection, geolocation and specification of hardware to reduce delay. It conducts a one -hour minimum period of rent for GPU cluster, while allowing the rental of unlimited duration. GPUs are obtained from insufficiently used ways outside the traditional cloud services, such as independent data centers, crypto miners, networks like Filecoin and RenderedAnd the Consumer GPU -Oovi, which make up 90% of the total GPU supply, but are often idle. To maintain robust security without endangering latency, IO.NET uses VPN at the level of kernel with safe network protocols. His iO agent discovers and blocks unauthorized containers, encrypts data within the Docker file system and prioritizes suppliers with SOC 2 compliance.
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In the context of IO.NET, the income is the amount of money calculated by customers who pay the GPU and CPU services providers. Calculations of customers can hire counting for as long as they want, but they have to rent at least one hour. Currently, IO.NET allows customers to pay IO, USDC or credit card through a third party. In the future, there will be 2% fees for facilitating when paying in USDC; However, this fee is currently giving up, and the total reservation cost is adhered to the suppliers. In Q1, the revenue of the IO.NET increased by 82.6%, increased from $ 3.1 million to $ 5.7 million. This growth has encouraged three months of all time maximum in monthly revenue, which also led to the maximum of all time in a quarterly revenue.
Io token was launched June 11, 2024 via Binance Launch. Its initial circulating supply was 95 million and a total of 500 million supply. The Token has a 20-year emission arrangement that reduces monthly, resulting in a maximum supply of 800 million.
After a strong Q4 2024, where the market cap and 100.5% QoQ increased to $ 376 million, the Q1 2025 recorded a turnaround. The IO -Li market limit fell 71.4%QoQ to $ 108 million, driven by a drop of token of 74.9%, despite the increase in circulation supply of 14.5%. As a result, Io fell from 188 to 298. The largest crypto assets circulating a market cap during the quarter.
Io.net requires Devices with at least 12GB of RAM, 500GB of free disk space and fast internet connection (over 500 MB/s download, 250 MBPS transmission and below 30 ms ping). To ensure that the resources of the CPU/GPU supplier are original and are performed as expected, Io.net implementation Procedure to check the hourly proof of work (POW). This procedure, which takes about 15 minutes, uses a cryptographic puzzle to authenticate and perform the device, deterrent to fraud and ensure a fair distribution of resources. The POW system consists of three components: API binary checks seeking a valid solution, API -for the challenges that generate puzzles and API to submit results to check the solution. The devices are visibly labeled as proven, on hold or failed on the user interface, and any mistakes were recorded to solve the problem.
The average daily number of proven calculations continued to decline in the Q1 2025. The proven GPU -s fell 11.1% QOQ, an average of 6,720 per day, while the CPU -LOVE fell 4.5% QOQ to an average of 1,130 per day. This expands a wider trend from peak activity in mid-2024, which reflects a permanent contraction on the supply side and reduced incentives in the middle of the 74.9% QOQ drop of the IOO price.
After a powerful wound, the average daily number of GPU and CPU workers decreased in Q1 to 2,220 and 1,130, which represents QOQ drops of 11.8%, respectively 4.5%, which reflects a continuous contraction on the supply side.
Io.net began to produce blocks and broadcast IO token as a reward for the GPU -Ai CPU suppliers on June 25, 2024. Since then, IO.NET has broadcast 40 million IO, 9.3 million of which have been broadcast in Q1, equivalent to $ 16.9 million.
BC8.AI is a platform to generate AI image that allows users to create images by inquiry, similar to Midjourney. BC8.AI runs IO.NET, performing its Ai model of image generation through IO.net decentralized computer networks. In Q1 2025, BC8.AI has processed 57,500 conclusions and 14,275 conclusions, marking a drop of 66.7% QOQ in both categories such as the use of Q4 2024.
While the above metrics show mixed performance, the Q1 saw several qualitative events, and January was the most active.
January:
February:
March:
The wider crypto market has been contracted in Q1, and market capitalization of BTC eth decreased 11.4%, respectively 45.2% QOQ. IO.NET IO Token followed the suit, with the market cap dropped 71.4% due to a drop in token price of 74.9%. In contrast, the network revenues continued to grow, reaching $ 5.7 million for a quarter, which is 82.6% QOQ increase, which indicated the second quarterly high. The proven supply continued with a gradual contraction, with an average daily proven GPU reduced by 11.1% to 6.720 and proven CPU reduced by 4.5% to 1,130.
While the quantitative metrics were mixed, Io.net maintained a consistent pace of ecosystem development. The Q1 had more than a dozen integration, including Nes (decentralized AI models), Allora (financial conclusion) and Filecoin (computer interoperability -scar). These partnerships reflect the spread of the network in the decentralized AI infrastructure, even as it continues to perfect its economic models.
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