AI Companions - Professor Grump w/ Akash

Run FLock node on Akash network

Introduction

Developing truly open and decentralised AI is one of society’s most critical challenges. The networks, platforms, and clients we build will help guide this development, from open compute networks like Akash to platforms like FLock that make it easy to train and fine-tune AI models. Integrating these projects simplifies the user experience, enabling greater access that puts AI development directly in the hands of people around the world.

This case study outlines the integration between Akash and FLock that enables users to easily train AI models on decentralised compute. It illustrates how Akash, the first open-source Supercloud, gives AI developers access to the high-performance compute resources needed to train AI models with FLock AI, a platform for decentralised machine learning.

Birds of a Feather: Akash & FLock

As the adage goes, “birds of a feather flock together.” As the decentralized AI movement takes flight, Akash and FLock.io are flying in unison. Akash is an open network that lets users buy and sell computing resources securely and efficiently. FLock AI is an open network that lets users train, validate, and govern AI models democratically and transparently.

Akash is purpose-built for public utility. Compute is available to anyone on the network through Akash’s peer-to-peer marketplace, and the network does not limit the types of tasks or workloads that can be deployed. Similarly, FLock AI is built for and by the community, and the platform does not restrict where models are trained, validated, hosted, and/or deployed.

With a clear alignment on visions for the future and shared values of openness, permissionlessness, and composability, it’s clear to see why Akash and FLock AI are closely aligned.

As you'll see below, FLock has integrated with Akash to create 1-click templates that make it easy to run FLock AI nodes on the Akash Supercloud.