Case Studies

Prime Intellect Integrates Permissionless Akash GPUs

Today, high-performance GPUs from the Akash Supecloud, including NVIDIA H100, A100, and more, have been added to the Prime Intellect platform.

Decentralized AI Model Training on Akash With FLock.io

This case study outlines the integration between Akash and FLock.io that enables users to easily train AI models on decentralized compute.

Running vLLM on Akash

Learn how to save money by replacing closed-source AI models like GPT-4 by running the leading open-source LLM's on Akash with vLLM.

Brev.dev Leverages Akash Network's Permissionless GPU Infrastructure to Seamlessly Scale

Foundation AI Model Training on Akash

Towards the end of 2023, Overclock Labs (core team behind Akash Network) and ThumperAI (generative AI startup) decided to embark on a mission to train a foundation model on Akash GPUs.

Passage Leverages Akash To Launch the First Virtual World on Permissionless GPUs

The demand for decentralized compute is growing fast as total global cloud spending is projected to surpass $1 trillion.

Akash Network and Solve.Care Bring Faster, Cheaper, and More Secure Patient Data Ownership to the Healthcare Industry

Healthcare is a $7.98 trillion industry that impacts every one of us worldwide.

Distributed Machine Learning on Akash Network With Ray

In this post we provide an overview of the challenge of trying to parallelize and scale AI and ML workloads in practice, briefly introduce the best open source framework available and in-use by leading machine learning teams (Ray), talk about why Ray is a great solution for running ML workloads on Akash Network, and provide a reference example and template for those looking to run a Ray cluster on Akash Network’s GPU supercloud.