Overview

UbiOps is a robust AI model serving and orchestration platform designed to simplify the deployment, management, and scaling of AI and machine learning workloads. It enables data science and IT teams to transition from pilot projects to production seamlessly, without the complexities of managing Kubernetes or cloud infrastructure. UbiOps supports deployment on local, hybrid, and multi-cloud environments, providing flexibility and control over compute costs and compliance with AI regulations.

Features and Capabilities

• AI Model Deployment: Deploy AI models as reliable, scalable services on any infrastructure with minimal engineering effort.
• MLOps Functionality: Includes model catalog, versioning, dependency management, monitoring, auditing, and security features to manage AI workloads effectively.
• Infrastructure Flexibility: Run workloads locally, in hybrid-cloud, or multi-cloud environments, avoiding vendor lock-in and maintaining control over data processing and storage.
• Security and Compliance: Provides end-to-end encryption, secure data storage, and access controls to help businesses comply with data privacy regulations such as GDPR.
• Workflow Builder: Create modular workflows with multiple models, functions, and operators, each with version control and individual scalability.
• Monitoring and Logging: Monitor models in production, track custom metrics, and utilize logging functionality for debugging and auditing purposes.
• Custom Environments: Support for custom Docker images allows for flexibility in installing libraries, private repositories, and other software, enabling tailored environments for specific workloads.
• Team Collaboration: Define projects, assign roles, and set granular permissions to facilitate collaboration among team members.