Introduction
Welcome to the Akash Deployment Guides for Machine Learning! This guide is designed to help developers, researchers, and businesses leverage Akash’s decentralized cloud computing platform for training and deploying machine learning models efficiently.
Akash provides a cost-effective, permissionless, and scalable infrastructure ideal for hosting ML workloads, including model training, inference, and data processing. Whether you’re working with TensorFlow, PyTorch, or other ML frameworks, these guides will walk you through the process of setting up and running your models on Akash.
From provisioning GPU resources to optimizing deployments for performance and cost, you’ll find step-by-step instructions and best practices to make the most of Akash’s decentralized cloud. Let’s get started!
