UbiOps

UbiOps is an AI infrastructure platform that lets teams run their AI and machine learning workloads as reliable and secure microservices without having to worry about DevOps or cloud computing plumbing. It's a turn-key way for data scientists to deploy models and functions into a production environment, with a focus on ease of use, speed and scalability.

UbiOps lets you deploy AI models, including large language models and computer vision models, into a private environment. The company's platform can orchestrate hybrid and multi-cloud workloads, so models can be deployed on-premise, in private clouds or scaled out to public clouds for best cost and compliance.

Among UbiOps' features are:

• Fast Deployment: Deploy models and functions in 15 minutes, not 15 weeks as is typical.
• Private Environment: Run large language models and computer vision models in a private environment.
• Version Control: Manage model versions with automatic rollback and monitoring.
• Security: End-to-end encryption, secure data storage and access controls.
• Scalability: Scale AI workloads with on-demand access to powerful GPUs.
• Pipelines: A workflow management system for reusing and combining deployments.
• Operators: Add parallel processing, conditional logic and data transformations to pipelines.

UbiOps is geared for data scientists and teams at startups and enterprises that want to get AI products to market without having to set up and manage expensive cloud computing infrastructure. It works with popular tools like PyTorch and TensorFlow, so it's accessible to people with little or no MLOps experience.

The company doesn't disclose pricing, but you can contact it for information on pricing and custom plans. UbiOps offers a free trial and a free plan so you can try it out before paying.

UbiOps is a good option for anyone looking to simplify AI model deployment and management, offering an all-purpose AI infrastructure foundation that should be easy to use, scalable and secure.

Published on July 19, 2024