The io.net project is a distributed GPU system based on Solana, Render, Ray, and Filecoin. It is designed to exploit distributed GPU resources to solve computing challenges in the fields of artificial intelligence and machine learning.
The main objectives of the project
Global GPU Resource Delivery: io.net aims to solve the problem of computing resource shortages by pooling underutilized computing resources such as excess GPUs from independent data centers, crypto miners, and crypto projects like Filecoin and Render.
Delivering Distributed Physical Infrastructure: io.net delivers a distributed physical infrastructure network (depin), which brings together resources from a variety of providers to enable engineers to access massive amounts of computing power in a customizable, cost-effective, and easy-to-implement way.
Centralized Resource Clustering: io.net features distributed resource clustering, which allows the platform to use GPU resources distributed around the world to provide the computing support needed for artificial intelligence and machine learning tasks.
Basic mechanics of the project
Cost Effective: By exploiting underutilized GPU resources in the market, io.net is able to provide computing power at a lower cost than traditional cloud services.
Scalability and Flexibility: The distributed model allows io.net to easily expand its resource pool without relying on a single vendor or data center.
Diverse resource sources: io.net collects GPU resources from multiple sources, including independent data centers, individual crypto miners, and redundant resources from other crypto projects such as Filecoin and Render.
With the rise of artificial intelligence, there is a significant increase in GPU computing power and there is a significant shortage of GPUs in public clouds. io.net aims to collect untapped computing power from independent data centers, crypto miners and consumer GPUs, enabling increased GPU supply.
