Decentralized physical infrastructure network (DePin) project Io.net has announced a strategic partnership with TARS Protocol, an AI-driven Web3 infrastructure platform.
This collaboration marks an advance in using decentralized resources to enhance AI model training. As a matter of fact, it promises to reduce AI model training costs by up to 30%.
IO Token Price Struggles Despite New Partnerships
Known for its decentralized distributed compute network, Io.net aims to revolutionize machine learning scalability. Through this partnership, Io.net integrates its extensive network of over 11,000 distributed devices, including GPUs and CPUs, into the TARS AI Hub.
Read more: What Is DePIN (Decentralized Physical Infrastructure Networks)?
This integration promises to drastically change how AI models are trained, offering TARS users access to decentralized GPU clusters. The partnership also paves the way for a seamless transition from Web2 to the more secure, transparent, and efficient frameworks of Web3.
“io.net and TARS Protocol are combining their strengths to develop cutting-edge tools and services for the AI and Web3 ecosystems. By joining forces, the two companies aim to seamlessly integrate AI with blockchain technology, accelerating the transition from Web2 to Web3 for organizations and developers,” io.net told BeInCrypto.
Additionally, over the next six months, Io.net and TARS Protocol have planned a series of co-marketing activities designed to highlight their joint initiatives. These efforts aim to attract over 1,000 developers and businesses, enriching both platforms’ ecosystems.
Read more: How Will Artificial Intelligence (AI) Transform Crypto?
Despite technological advancements and strategic collaborations, Io.net faces challenges in market acceptance and token performance. The IO token, vital for transactions within the Io.net ecosystem, remains about 70% below its all-time high.
Recent trading data from September 17 shows market volatility, with the IO token experiencing a brief 13% increase in value, followed by a downturn.
Technical analysis of IO indicates a potentially bearish trend as the Relative Strength Index (RSI) shows a decline in momentum.
The analysis suggests that the price may dip to the $1.57 mark, corresponding to the 61.8% Fibonacci retracement level, before possibly rebounding to around $1.99 as a potential recovery point.
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