KUZCO Node Tutorial || GPU Set-up

Description

Kuzco is a decentralized GPU network designed for large language model computing power mining, operating within the Solana ecosystem.

Overview

Kuzco is a distributed GPU cluster on the Solana blockchain, enabling cost-effective inference of LLMs like Llama3, Mistral, and Phi3. It uses idle compute resources from participants to provide access to these models via an OpenAI-compatible API.

LLMs stand for Large Language Models. These are advanced AI models trained on vast amounts of text data to understand, generate, and process human language. They can perform various tasks, such as answering questions, generating text, translating languages, and more.

Popular examples of LLMs include GPT (like the one you’re interacting with), BERT, Llama, and Mistral. These models are widely used in natural language processing (NLP) applications.

Key Features

• Distributed GPU Cluster: Kuzco harnesses the collective power of GPUs across the network, allowing for scalable and efficient LLM inference.
• Solana Integration: Built on the Solana blockchain, Kuzco benefits from its high-performance, low-latency, and cost-effective infrastructure.
• Idle Compute Utilization: Network participants can contribute their idle compute power and earn rewards for their contributions.
• OpenAI-Compatible API: Kuzco provides an API that is compatible with OpenAI, making it easy for developers to integrate and utilize popular LLMs like Llama3 and Mistral.
• Cost-Effective: By leveraging idle compute resources, Kuzco offers a cost-effective solution for LLM inference compared to traditional centralized approaches.

Create an Account:

Before you start, register your account(opens in a new tab). Verify your email to complete the registration process.

Note: To run KUZCO, a GPU is required. However, it can also run on a CPU if your VPS has a high-performance CPU.

Hardware

Kuzco supports many different hardware configurations across Mac, Windows, and Linux. This page provides a list of the most common hardware that Kuzco supports.

Minimum System Requirements:

• A GPU in the list below with at least 16GB of VRAM
• 16GB RAM
• 30GB free disk space
• Reliable 100Mbps+ network bandwidth. Test it here: Fast.com

Supported GPUs

You can check out the Kuzco doc. Link here

GPU:

You can rent a GPU from: https://cloud.vast.ai/?ref_id=189472

Note: Please use the referral link to receive an additional discount.

• Once you sign up, you can use the Kuzco image template Link here.
• You can choose the RTX 4000, which will cost you approximately $0.157/hr. For more details, watch the video guide.

VPS:

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Windows/Desktop App

The easiest way to get started with Kuzco on Windows is to download and install the Kuzco Windows app from the official website(opens in a new tab).

WSL

Kuzco can also be run on Windows Subsystem for Linux (WSL). Checkout out our WSL guide to get started.

Linux/Ubuntu-VPS user:

• Update and upgrade your VPS.

sudo apt update -y && sudo apt upgrade -y

• Since this is a script, you need to use a screen.

First, install the screen. If you are already using it, you can skip this step.

sudo apt install screen -y

• create a screen:

screen -S kuzco

• Run the following command to install Kuzco on Linux:

curl -fsSL https://kuzco.xyz/install.sh | sh

• Once you execute the above script, it will download the .json and Kuzco files. Please wait for 15 minutes.
• Once it is successfully installed, it will prompt you to enter your email and password. Simply provide the required details. Now, you have successfully installed Kuzco.

• Next, run the following command to initialize your Kuzco worker:

kuzco init

• Once you start it, it will ask for the Kuzco worker's name. Simply provide the name, and when prompted for confirmation, type ‘yes’ to proceed and start it.
• Now, it will download all the related dependencies. This may take some time. Once completed, check your Kuzco dashboard to view the status.
• Initially, the status will appear as ‘Initializing.’ Check again after 15 minutes, and it should show as ‘Active.’ Your points will be updated after 1 hour.
• Now, you can detach from the screen by pressing CTRL + A + D.
• To reenter that screen use the below command.

screen -r kuzco

Vast.ai -GPU Set-up guide:

• Once you rent a GPU, open the terminal by clicking the ‘Connect’ option.
• It will open the Jupyter terminal. Just execute the following command to update and upgrade your GPU software..

sudo apt-get update
sudo apt-get upgrade

• Once done, you can execute the KUZCO command and start the worker.

Kuzco Discord Roles

If you’re new to Kuzco, you might be wondering how to get those special “Worker” roles on our Discord server. Worry not! In this guide, we’ll walk you through the requirements, the process to link your Discord account, and what to do if you get stuck.

Role Overview

In Kuzco, you can earn different Discord roles based on how many points you accumulate. Each role gives you access to exclusive perks on our server. Here are the current thresholds:

• Bronze Worker: 10M points
• Silver Worker: 100M points
• Gold Worker: 1B points

Once you meet the point requirement for a specific role, Kuzco will automatically assign that role to you on Discord — provided your Discord account is linked.

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