About Function Network Labs

This startup offers a distributed inference protocol that enables hosting and running fine-tuned large language models (LLMs) on decentralized hardware. Their platform prioritizes data privacy, reduces hosting costs, and provides infinite scalability for clients using generative AI models.

```xml <problem> Hosting and scaling fine-tuned large language models (LLMs) can be expensive and complex, requiring significant DevOps resources. Existing solutions often lack the flexibility to support diverse hardware configurations and may not adequately address data privacy concerns. This creates barriers for developers seeking to deploy AI agents and applications powered by custom models. </problem> <solution> Function Network provides a distributed inference protocol that enables developers to host and run fine-tuned LLMs on decentralized hardware, reducing hosting costs by up to 80%. The platform supports a wide range of open-source models, including Stable Diffusion and Llama 3, as well as the ability to bring your own private models. By leveraging a diverse mix of GPUs, CPUs, and NPUs, Function Network offers limitless scalability without the need for extensive DevOps. The platform also prioritizes data privacy, ensuring that users retain control over their model weights and data. </solution> <features> - Support for a wide range of open-source models, including Stable Diffusion and Llama 3 - Ability to host and run custom fine-tuned models - Distributed inference infrastructure leveraging a diverse mix of GPUs, CPUs, and NPUs - OpenAI-compatible API for seamless integration with existing AI development workflows - First-party SDK support for Typescript, Python, Java, Go, and PHP - Services include Chat Completion, Code Completion, Text Embedding, Image Generation, Image Captioning, and Transcription - Chat application powered by distributed inference, offering the latest state-of-the-art LLMs </features> <target_audience> The primary target audience includes AI developers, Web3 product teams, and businesses seeking cost-effective and scalable solutions for hosting and running generative AI models. </target_audience> ```

What does Function Network Labs do?

When was Function Network Labs founded?

Function Network Labs was founded in 2024.

Founded

2024

Employees

5 employees

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Function Network Labs

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Executive Summary

function.network 100+

Founded 2024

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Hosting and scaling fine-tuned large language models (LLMs) can be expensive and complex, requiring significant DevOps resources. Existing solutions often lack the flexibility to support diverse hardware configurations and may not adequately address data privacy concerns. This creates barriers for developers seeking to deploy AI agents and applications powered by custom models.

Solution

Function Network provides a distributed inference protocol that enables developers to host and run fine-tuned LLMs on decentralized hardware, reducing hosting costs by up to 80%. The platform supports a wide range of open-source models, including Stable Diffusion and Llama 3, as well as the ability to bring your own private models. By leveraging a diverse mix of GPUs, CPUs, and NPUs, Function Network offers limitless scalability without the need for extensive DevOps. The platform also prioritizes data privacy, ensuring that users retain control over their model weights and data.

Features

Support for a wide range of open-source models, including Stable Diffusion and Llama 3

Ability to host and run custom fine-tuned models

Distributed inference infrastructure leveraging a diverse mix of GPUs, CPUs, and NPUs

OpenAI-compatible API for seamless integration with existing AI development workflows

First-party SDK support for Typescript, Python, Java, Go, and PHP

Services include Chat Completion, Code Completion, Text Embedding, Image Generation, Image Captioning, and Transcription

Chat application powered by distributed inference, offering the latest state-of-the-art LLMs

Target Audience

The primary target audience includes AI developers, Web3 product teams, and businesses seeking cost-effective and scalable solutions for hosting and running generative AI models.