Why is IO worth paying attention to in the AI ​​sector?

In fact, the reason for ambushing $IO yesterday was simple:

Nvidia's financial report was launched this week, and then Coinbase contracts were launched last night. The GPU computing power AI leader, this is why I have been strongly recommending you to ambush the AI ​​sector in advance

Then the question is, why should capital pay attention to IO?

The current difficulties in the market are:

1. It takes weeks to get GPUs in centralized cloud services

2. There is almost no choice for GPU hardware, location, security or latency 3. It takes a lot of resources to run GPT on centralized cloud servers

The solution is:

IO solves the problem by aggregating GPUs that are not fully utilized (such as independent data centers, miners, etc.).

These resources are combined with DePIN to enable engineers to obtain a lot of computing power in the system

Allow inference and batch training jobs to be built across distributed GPU networks, which can be parallelized on many distributed devices using data and model parallelism

IO is not only a model of technological innovation, but also a model of real-world problems in blockchain applications. This is what I told you (projects built for blockchain)

#io项目 #AI板块强势进击 #TAO #英伟达财报即将公布 $TAO $FET