UbiOps

Seamlessly manage your Private AI on any infrastructure.

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Description

UbiOps provides a robust platform for managing and deploying diverse AI models, including Generative AI, Computer Vision, and Time Series, across various infrastructures such as local setups, hybrid clouds, or multi-cloud environments. It offers a unified interface for orchestrating AI workloads, aiming to significantly simplify the transition from AI pilot phases to full production deployment. This approach helps organizations reduce operational costs and shorten development cycles.

The platform incorporates comprehensive MLOps capabilities, featuring API management, model version control, automated scaling algorithms, performance monitoring, detailed auditing, resource prioritization, robust security measures, and fine-grained access management. These built-in tools enable AI and IT teams to manage AI initiatives centrally, effectively preventing shadow IT and avoiding vendor lock-in by supporting deployment across Kubernetes, Virtual Machines, and Bare Metal resources.

Key Features

AI Orchestration: Manage AI workloads from a single interface across any infrastructure (local, hybrid, multi-cloud).
Infrastructure Agnosticism: Deploy and run AI models across Kubernetes, Virtual Machines, and Bare Metal.
Simplified AI Deployment: Seamlessly move AI pilots to production, reducing development time.
Cost Reduction: Helps cut compute costs for AI workloads by up to 80%.
Built-in MLOps: Includes API management, version control, scaling, monitoring, auditing, security, and access management.
On-demand GPU Scaling: Instantly scale AI and machine learning workloads on GPUs.
Vendor Lock-in Prevention: Deploy across different environments without being tied to one provider.
Centralized AI Management: Control AI workloads centrally, preventing shadow IT.