IO.NET deep disassembly+100 times tutorial

Source: Insight Information

Foreword

Under the impact of BTC’s continued high, after a week of consolidation, the AI ​​sector returned strongly. From the time scale of the past six months, the tokens of each project of the AI ​​sector continued to rise.Betting.In the month since the beginning of February, many new projects with tokens have increased by more than five times or even dozens of times in the AI ​​sector in less than two weeks.

Recently RNDR’s pulling may be paved for it!

DEPIN+AI+SOL Ecology = 2024 Wang Fried Combination. The protagonist of today’s article is iO.NET.

IO.NET disassembling

As one of several key narratives, DEPIN quickly became popular, especially on Solana.With major progress in projects such as RENDER and Helium, related projects of DEPIN and AI types are worthy of research.

It is unknown whether 2024 will usher in the AI ​​Summer, but it is certain that the AIXCRYPTO narrative will become clearer.

In addition to the AI ​​project that has been regarded by MEME recently, there are strong players such as Bittersor, Render, Arkham, etc. on the market, such as Bittersor, Render, Arkham, etc.

■ IO.NET Introduction

IO.NET is a decentralized computing network that supports the development, execution and expansion of ML applications on the Solana blockchain, combining 1 million GPUs together to form the world’s largest GPU cluster and depin.Io.net aggregationGPUs from the GPUs of unprecedented resources (such as independent data centers, encrypted miners, and encrypted projects such as Filecoin, Render) to solve this problem. These resources are combined in the decentralized physical infrastructure network (DEPIN), so that engineers can be able to be available.Get a lot of computing capabilities in systems that access, customized, economical and efficient and easy to implement.

IO.NET is a classic example of DEPIN: Use the token incentive mechanism to reduce the cost of acquiring and retaining the resources of the supplier from the structure, and ultimately reduce the cost of terminal consumers.The network gathers huge, heterogeneous GPUs in a shared pool for artificial intelligence developers and companies.Today, the network is supported by thousands of GPUs from data centers, mining stations and consumer devices.

IO.NET discovered inefficient problems in the market, such as supply restrictions and centralized control of GPU.By solving these problems, IO.NET aims to provide products that are cheaper than centralized services.

At present, IO.NET has already made the following good progress

+Decentralized AWS for ML (machine learning) training on GPU

+Instant, no need to access a global GPU and CPU network, it has been online

+They have 25,000 nodes

+Revolutionary technology, you can gather GPU together

+Can save 90% of the calculation cost for large -scale AI startups

+Integrated Render and Filecoin

+Based on Solana

■ IO.NET agency

At present, only the A -round institution is announced. The led by the 3/5 is 3000W, and the valuation is 1B, including the following institutions: Hack VC*, Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, ForeSight Ventures, Animoca Brand SContinue Capital, Solana Ventures, Aptos, Longhash Ventures, Sevenx Ventures, ArkStream Capital, MH Ventures, Amber Group, Modular Capital, MO Shaik H, Avery Ching, Yat Siu, Jin Kang, Anatoly Yakovenko, Sebastien Borget

■ project brief review

IO.NET is an advanced decentralized computing network, providing machine learning engineers with a relatively low cost of accessing distributed gathers at a relatively low cost.The launch of this platform provides users with more choices so that they can calculate and data processing in a more economical and efficient way.

+The main functions of the platform include

1. Decentralization computing network: IO.NET uses a decentralized computing mode to distribute computing resources around the world, thereby improving the calculation efficiency and stability.

2. Low -cost access: Compared with traditional centralized services, IO.NET Cloud provides lower access costs, enabling more machine learning engineers and researchers to get computing resources.

3. Distributed gathering group: The platform provides a distributed gathering cluster. Users can choose appropriate computing resources according to their own needs and distribute tasks to different nodes for processing.

4. Support machine learning tasks: IO.NET Cloud focuses on providing computing resources for machine learning engineers, enabling them to make tasks such as model training and data processing easier.

+The strength of the institution is strong

With many head institutions participating, there are also well -known industry leaders who have participated in the Rongzi, including the founder of Solana, Anatoly Yakovenk, Aptos founder Mo Shaikh and Avery Ching, and Animoca Brands’s Yat Siu, SandBox’s Sebastine B Orget andPerlone Capital’s Jin Kang.

+In terms of Zi value

The emergence of IO.NET fills the gap in the field of decentralization and calculation, providing users with a novel and potential calculation method.With the continuous development of artificial intelligence and machine learning, the demand for computing resources is also increasing, so IO.NET has high market potential and value.

Overall, IO.NET solves this problem by aggregating GPUs from the non -useful source (such as independent data centers, encrypted miners, and encrypted projects such as Filecoin, Render, and other encryption projects.These resources are combined in the decentralized physical infrastructure network (DEPIN), so that engineers can obtain a lot of computing capabilities in accessible, customized, economical and efficient and easy to implement systems.

■ IO.NET intends to launch the points reward plan on March 1st, and it is expected that the IO tokens will be launched at the end of April

IO.NET will start the first phase of the points reward plan on March 1.The plan is called Ignition, which will last until April 28.The plan will reward points based on the GPU provided by users to the network.

When asked if the reward points would be converted to IO.NET native currency IO, IO.NET founder and CEO AHMAD Shadid refused to comment, but he said the token is expected to be launched on April 28.

IO.NET said that the upcoming IGNITION award program is the first step in IO.NET decentralization and transfer of governance to the community.

#ie.net windows tutorial

First go to cloud.io.net

1. Navigation from the drop -down menu to the worker

2. Connect new equipment

Click “Connect to New Device”

3. Choose the supplier

Choose the supplier you want to group hardware

4. Name for your device

Add the unique name to your device, the ideal format is similar to the following: my-test-device

5. Select the operating system “OS”

Click “Windows” field

6. Equipment type

If you choose GPU worker and your device has no GPU, the setting will fail

7. Docker and NVIDIA driver installation

Operate according to our docker, CUDA, and NVIDIA drivers.

8. Run the docker command

Run this command in the terminal and ensure that the docker desktop is running in the background

9. Waiting for connection

When waiting for the new device to connect, continue to refresh.

Docker installation on Windows

First, you need to enable virtualization BIOS.

To check whether it has been enabled, please transfer to the performance of the task manager so that you can see here:

If it is not enabled, follow the following steps:

To enable virtualization technology in BIOS or UEFI settings, you need to access the computer’s BIOS or UEFI configuration menu during the startup process.The specific steps may be different, depending on the computer’s manufacturer and model, but the following is the general step of enabling virtualization.

Install WSL 2 by opening Powershell as an administrator.For this reason, please search “PowerShell” in the “Start” menu, right -click “Windows PowerShell”, and then select “Run as an administrator”.

Run the following commands in Windows 10/11 to enable the WSL function:

>Download docker:

Visit the docker website: https://www.docker.com/products/docker-desktop/ and click “Download for Windows”:

Run the installation process, restart the machine after the installation is completed:

Start the docker desktop, select WSL2 in Docker for integration:

Verify the installation by opening the CMD and type the following content:

docker -version

Then you will receive the following output:

Docker version 24.0.6, Build ED223BC

That’s it.You have installed and prepared Docker.

Install the NVIDIA driver on Windows

To check whether you have the right driver, open the command line (Windows key + R, type CMD) on Windows PC and enter the following: NVIDIA-SMI.If you encounter the following error information:

This means that you do not install the NVIDIA driver.To install them, follow the steps below:

Visit the nvidia website https://www.nvidia.com/download/index.aspx and enter your GPU name, and then click the search:

Click the “Download” button for your GPU and Windows version of the NVIDIA driver.

After downloading, start installation, select the first option, and then click “Agree and continue”.

>After the installation is completed, the computer must be restarted.Restart the computer to ensure that the new NVIDIA driver is completely integrated into your system.

After the computer is restarted, open the command prompt (Windows key + R, type CMD) and type the following command:

nvidia-SMI

You should see this result:

That’s it.You have installed and prepared the correct NVIDIA driver.

Download CUDA Tool Pack (Optional)

Visit NVIDIA CUDA Tool Pack download page: https://developer.nvidia.com/cuda-downloads

Select your operating system (such as Windows).

Select your architecture (for 64 -bit Windows, usually X86_64).

Download EXE Local Installation Program.After downloading the file, run the installation program:

And follow the installation process.

Then, verify the installation process.Open the command prompt (Windows key + r, type CMD) and type the following command:

nvcc -version

You should get the following answers:

NVCC: NVIDIA (R) CUDA Compiler Driver Copyright (C) 2005-2022 NVIDIA Corporation Built on WED_SEP_21_10: 10_PACIGHT_TIME_2022 CUDA CompiLati on Tools, Release 11.8, V11.8.89 Build CUDA_11.8.8/Compiler.31833905_0_0

That’s it.You have installed and prepared the CUDA toolkit.

GPU mining reward: Provide GPU income + RNDR airdrop

■ Question answer

1. What graphics cards can run computing power:

1, 4080 above

2. Mac M1 M2 M3, etc. (CPU is used);

3. Ubuntu tutorial: https://developers.io.net/docs/installing- on- ubuntu

4. Mac-in tutorial: https://developers.io.net/docs/installing- on-mac-in

Second, computing power rental issues:

1. Depending on your network rate/GPU model/computer health (try not to run games or large software during the period)/computing power requirements, etc.;

2. Different GPU models have different rent;

3. Discontinue equipment during the rental period, a little rent will be deducted;

4. Domestic IP is rejected and cannot be recorded/rent (Suggesting VPN global)

3. About worker cannot connect:

1. Docker in running (2 containers), you need to wait 1-20min (refresh is not effective immediately)

2. Re -connect: Directly delete the docker 2 containers, and then run the sixth code when running deployment;

3. Some sevices are down is the project party’s upgrade, which has nothing to do with us

4. How to get more rewards

1. Complete the Galxe task (need to complete the Passport/Humanity certification, at least one at least one)

2. Get higher ROLE level/Participate in the community reward program (such as participating in AMA, assisting in solving problems, using BC8, MEME map competition, etc.)

3. Share your GPU computing power on Worker (there is also empty hanging);

4. Reward the bases have not been announced yet

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