SOLANA's AI+Depin Project - io.net GPU Mining Tutorial

ionet is led by HACK VC, with participation from well-known institutions such as Multicoin, 6th Man Ventures, M13, Delphi Digital, Animoca, SOLANA Labs, and OKX. This lineup is indeed strong.


What problem does http://io.net solve? It's very significant

1. Solve the GPU shortage: As artificial intelligence becomes a leading new technology, the extreme demand for GPUs has increased tenfold, resulting in even large GPU chip producers like NVIDIA being unable to meet market demand, the cost of training large-scale artificial intelligence models rising by about 3,100% per year, and the cost of accessing cloud services rising and delivery time being too long. http://io.net aims to alleviate this problem by leveraging the world's existing potential hardware resources.

2. Create a super-scalable GPU Internet: By deploying a custom network and orchestration layer, http://io.net connects these hardware to create a super-scalable GPU Internet. This provides the necessary computing resources for large-scale AI model training and reduces costs.

3. Improve GPU utilization: http://io.net not only targets independent data centers (typical utilization is only 12-18%) and crypto mining farms (especially those whose profitability has declined after Ethereum switched to Proof-of-Stake), but also significantly improves the overall utilization of GPUs by incorporating these idle GPU resources into the network.

4. Decentralized GPU computing network: Unlike the current model of relying on centralized services such as Google, Amazon, and Microsoft to obtain GPU computing power, http://io.net provides a decentralized computing network. Technology companies can obtain idle GPU chips from independent computing power providers, which is more flexible and cost-effective.

5. Save costs and improve efficiency: Developers and engineers can deploy large-scale GPU clusters with one click, support intensive machine learning workloads, and run in just 90 seconds. Compared with traditional cloud computing services, http://io.net can help developers save up to 90% of costs.

6. Incentivize GPU providers: http://io.net also incentivizes GPU providers to join the ecosystem and share their computing power through a reward mechanism. Users can maximize their infrastructure, which is profitable, transparent and simple. Currently, more than 36,000 GPUs have joined to provide users with the necessary processing power.

7. Promote innovation in the field of artificial intelligence: By reducing cloud computing costs and increasing revenue for GPU owners, io.net promotes innovation and development in the field of artificial intelligence, enables AI startups to obtain the necessary processing power on demand, and promotes the construction of a decentralized computing service network.

It is rather troublesome to pull out this fur, so I have found a tutorial for you below, so that friends who have the conditions can try it out.

I guess this is a very big profit. Based on the background and strength of this project, it is not short of money. It stands to reason that the more troublesome the threshold is, the fewer people will be screened, and the higher the quality of the profit will be. Moreover, the SOLANA chain is famous for having more profit and less trouble. In addition, the future development of this project's AI and Depin narrative is quite bright, and it has the attributes of [turning over] and [freedom].

The token will be launched on April 28th.

Running GPU computing power windows tutorial

1. Apply for an account on the official website
http://cloud.io.net
2. Official installation steps

https://developers.io.net/docs/installing-on-windows
3. Download
https://docker.com/products/docker-desktop/
4. NVIDIA CUDA
https://developer.nvidia.com/cuda-toolkit
5. Download NVIDIA driver
https://nvidia.com/download/index.aspx

6. PowerShell copy the line in http://io.net and execute it

For a super detailed graphic tutorial, see here: https://twitter.com/Yorkiku/status/1740028801483153712?s=20
Watch this guy for a detailed video tutorial, his accent is so cute: https://www.youtube.com/watch?v=I0pVxhUxfw8