A decentralized network called io.net is aiming to provide a cost-effective solution for renting GPU computing power for AI and machine learning services. The project, which started as a quantitative trading system, aggregates GPU computational power from various sources such as data centers, cryptocurrency miners, and decentralized storage providers. By pooling these resources, io.net aims to reduce the high costs associated with renting GPU computing power. The project utilizes Solana’s blockchain to facilitate payments to machine learning engineers and miners. It also plans to launch a dual native token system, with one token serving as a gateway to access compute power and the other acting as a stable credit token pegged to the US dollar. Io.net differentiates itself from centralized cloud services like Amazon Web Services by providing a decentralized platform for renting computing power. The project addresses the increasing demand for GPUs in AI and machine learning, as well as the inefficiencies and high prices associated with current data center utilization. Overall, io.net aims to provide a more affordable and efficient solution for accessing GPU computing power.

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Information	Details
Geography	North America
Countries	🇺🇸
Sentiment	neutral
Relevance Score	0
People	Ahmad Shadid
Companies	AWS, io.net, Ray.io, Solana, OpenAI
Currencies	None Trading
Securities	None