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Description

Mystic is a powerful platform that allows users to deploy machine learning models in their own cloud environments (AWS, Azure, GCP) or in a shared GPU cluster. It simplifies the process of running ML inference with a fully managed Kubernetes platform, ensuring fast performance and cost optimization. With Mystic, users can easily scale their GPU resources based on demand, manage their infrastructure through a user-friendly dashboard, and leverage a variety of AI models and inference engines.

How to use Mystic Turbo Registry?

To deploy AI models with Mystic, users can wrap their ML pipelines using the open-source Python library, upload their pipeline container, and run their models as APIs. Mystic automatically manages GPU scaling based on usage, providing a seamless experience for developers.

Core features of Mystic Turbo Registry:

1️⃣

Cloud integration with AWS, Azure, and GCP

2️⃣

Fast inference with low cold starts

3️⃣

Cost optimizations through spot instances and GPU fractionalization

4️⃣

Fully managed Kubernetes platform

5️⃣

Open-source Python library and API for AI workflows

Why could be used Mystic Turbo Registry?

#Use caseStatus
# 1Deploying generative AI products quickly
# 2Running machine learning models in a cost-effective manner
# 3Managing and scaling AI infrastructure seamlessly

Who developed Mystic Turbo Registry?

Mystic AI Inc. is a company focused on simplifying the deployment and management of machine learning models. Their platform is designed by experts to help businesses bring their AI products to market faster while optimizing costs and performance.

FAQ of Mystic Turbo Registry