Closed DeImOs-Sj closed 1 month ago
Commit history trail
Hey, Thank you for creating the issue again.
We are still not able to understand where you are using GPUs.
YAML attached is for the CPUs and models which are deploying it the raw one without any optimization into it. The steps of deploying on Spheron is also not present.
Since we have not received any response here for a month. We will wait for some more day & will close the issue
Closing this submission as there is been a long time of inactivity
MAHA AI HUB Decentralized AI Marketplace within Telegram Mini Apps
Submitter Information
Reward Address
0xaE25777C98EE8a66b6A9D5243f3a92455A810ecF
Project Plan
We are working on building the world's first decentralized AI marketplace within Telegram mini apps. This platform empowers users and developers to seamlessly access, trade, and deploy AI models in a secure, transparent, and community-driven environment.
Repository
Github Org: AI Inference Org
Demo
Setup Instructions
Prerequisites
Backend Setup
Run Docker:
Run Migrations:
Start the Backend Server:
Frontend Setup
Install Dependencies:
Start the Frontend Server:
Spheron Infrastructure Usage
We have utilized Spheron's infrastructure to deploy the AI model for our decentralized marketplace. By leveraging Spheron's robust and scalable deployment platform, we ensured that our AI model is accessible and performant within the Telegram mini apps environment.
For deployment, we used a Docker setup to containerize the application, and the following
docker-compose.yml
file was used to streamline the deployment process on Spheron:You can refer to this docker image :- docker compose yml file
Docker image repository = Docker image repo link