I’m Akhyar Ahmad, Founder & CEO of Oryvo AI and a BSc Software Engineering student at UET Lahore.Oryvo AI is a startup c

Akhyar Ahmad • Peerlist

<h3>Deploy and operate machine learning models seamlessly across your own cloud infrastructure from a single point of deployment, monitoring and migration.</h3><ul><li>Connect your GitHub repositories for streamlined workflow integration.</li><li>Automatically generate production-ready Dockerfiles to ensure consistent deployments.</li><li>Deploy your ML services to major cloud platforms including AWS, Azure, and Hugging Face.</li><li>Operate your ML services without requiring deep infrastructure expertise.</li><li>Leverage the power of AI for efficient model deployment and management.</li></ul>This platform is designed to simplify the complex process of deploying and managing machine learning models in production environments. By integrating with GitHub, it allows for easy access to your codebases. The automated Dockerfile generation ensures that your models are packaged correctly for deployment, regardless of your chosen cloud provider. Whether you're using AWS, Azure, or Hugging Face, this tool abstracts away the underlying infrastructure complexities, enabling you to focus on building and iterating on your ML models.

Roptal

EzDeploy is a revolutionary platform designed to automate the deployment of machine learning (ML) and large language models (LLM) in the cloud. This innovative system allows users to connect their GitHub repositories and seamlessly transition from code to production-ready endpoints in just minutes. EzDeploy handles the entire infrastructure setup, ensuring a smooth and efficient deployment process. Key features include full automation of AI deployment, integration with GitHub, and rapid endpoint creation. This platform is ideal for developers and organizations looking to streamline their AI deployment workflows and reduce time-to-market. By leveraging cutting-edge technology, EzDeploy empowers users to focus on building and refining their models while the platform takes care of the deployment complexities.