Mystic AI is a platform designed to make it easier to deploy and run AI models in production. It offers two options: deploying models directly in your own AWS, Azure or GCP cloud account, or using Mystic's shared GPU cluster on a pay-as-you-go basis. When deploying in your own cloud, Mystic provides a fully managed Kubernetes platform with cost optimizations like running on spot instances and parallelizing models on the same GPU. It also offers performance optimizations with a high-performance model loader and support for various inference engines. Mystic provides a simple developer experience with APIs, CLI, and Python SDK, allowing data scientists to deploy ML without deep infrastructure knowledge. It includes a dashboard to view and manage deployments.
Mystic
Mystic AI is a managed platform that allows you to deploy and run AI models in your own cloud or on their shared GPU cluster.
Mystic Characteristic
Mystic AI is designed to make deploying and running AI models in production easier and more cost-effective, with options to deploy in your own cloud or use their shared cluster.
Mystic Features
Mystic provides a fully managed platform to deploy models directly in your own cloud account, optimizing costs and performance.
Mystic Price
Mystic offers a pay-as-you-go API for using their shared GPU cluster. For deploying in your own cloud, you only pay the base cloud provider costs with no added fees from Mystic.
Mystic Notice
When deploying in your own cloud, you only pay the base cloud provider costs with no added fees from Mystic. The shared cluster has variable performance depending on real-time GPU availability.
Mystic FAQ
Mystic offers two options: deploying models directly in your own AWS, Azure or GCP cloud account, or using Mystic's shared GPU cluster on a pay-as-you-go basis.
