Think of it as a decentralized brain built from unused GPUs. It aims to offer powerful processing power for artificial intelligence and different fields at a cheap cost.
Prior to June 2022, io.net was focused on developing institutional-grade analysis systems for the US stock market and cryptocurrency market. Using high-frequency trading (HFT) strategies, they aimed to provide instant data tracking of more than 1,000 stocks and 150 cryptocurrencies. This system had to operate with a delay of under 200 milliseconds from market events for orders to be executed.
The discovery of Ray.io revolutionized infrastructure management, allowing them to build their systems in less than 6 months. However, due to the high prices of GPUs, it became costly to run the systems.
The rapidly increasing demands of machine learning applications and the end of Moore's Law have led to distributed applications becoming the norm. This has required new software tools and frameworks to bridge the widening gap between application demands and single node performance.
#io.net is a decentralized GPU network to provide unlimited computing power for machine learning applications. Its mission is to provide fair access by aggregating over 1 million GPUs from independent data centers, crypto miners, and crypto projects like Filecoin or Render.
The solutions are as follows: Major cloud providers have to increase existing GPU capacity by 2-3 times. io.net solves this problem by using standalone data centers, crypto miners, and consumer GPUs, providing an additional 200 exaFLOPs of capacity. It offers a more controllable, flexible and cost-effective service by using a decentralized and distributed model. Users can create clusters in less than 1.5 minutes and get access up to 90% cheaper.
#ionet ensures data privacy and security by preventing unauthorized work on rented GPUs. All network traffic resides over a mesh VPN to ensure maximum security. Additionally, SOC2 compliance is important.
