Sallar AI – Decentralized AI Computing Powered by Sallar Network
Key elements of Sallar Network
Sallar App
Sallar App allows users to share their device’s computing power in exchange for Sallar tokens ($ALL). By connecting to the Sallar Network, your device contributes CPU and GPU resources to AI computations, scientific research, and decentralized computing tasks.
Solana Blochchain
Sallar is built on Solana, leveraging its high-speed, low-cost, and scalable blockchain to power a decentralized computing network. Solana plays a crucial role in ensuring that transactions, payments, and rewards within the Sallar ecosystem are fast, efficient, and cost-effective.
Sallar AI
Sallar AI plays a crucial role in democratizing access to computational power and supporting AI projects through a decentralized network of devices. Powered by thousands of CPU and GPU nodes, Sallar enables: Fine-Tuning AI Models, Deploying AI Agents and Selling Computational Po.
What do we deliver?
AI Agent Deployment
Deploy smart AI agents to automate business tasks, customer support, and advanced computations
Fine-Tuning AI Models
Train your AI models faster and at a lower cost using distributed GPU power from thousands of decentralized devices.
Computing Power for Business
Get high-performance computing for AI, scientific research, data analysis, and automation tasks
AI Agent Deployment
Sallar enables seamless AI agent deployment, allowing businesses and developers to integrate intelligent automation into their workflows. Our agents leverage LLMs (Large Language Models) like Llama and DeepSeek, enhanced with memory, tools, and prompt templates for improved reasoning and execution.
With Sallar’s decentralized computing power, AI agents can process data, interact dynamically, and execute tasks efficiently—all within a trustless, scalable environment. Deploy, customize, and optimize AI agents with ease using Sallar AI.
Fine-Tuning AI Models
Sallar AI specializes in fine-tuning AI models, leveraging the power of our distributed computing network to enhance and optimize Large Language Models (LLMs) such as Llama and DeepSeek.
Computing Power for Business
Takeaways
What is Fine-Tuning?
Fine-tuning is the process of adapting pre-trained AI models to specific tasks, industries, or datasets. By using Sallar’s decentralized computational power, we can train and refine AI models efficiently, reducing costs and increasing accessibility for businesses and developers.
How We Fine-Tune AI Models on Sallar?
- Training with Sallar Network – Our network of thousands of decentralized devices provides distributed GPU & CPU power, enabling cost-efficient fine-tuning of AI models.
- Enhancing Llama & DeepSeek Models – We customize Llama and DeepSeek models for various applications, from chatbots to data analysis and automated assistants.
- Deploying AI Agents – Once optimized, these AI models power custom AI agents, available for businesses and users on agents.sallar.ai.
Why Use Sallar for AI Model Fine-Tuning?
- Decentralized Computing Power – No reliance on centralized cloud providers.
- Cost-Effective AI Training – Lower costs compared to traditional GPU rentals.
- AI Model Customization – Tailor AI models for business, research, and automation.