21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T7ce,

What is UbiOps?

UbiOps is a platform designed for powerful model serving and orchestration for AI & ML projects, eliminating the complexities of managing Kubernetes and cloud infrastructure. It offers a single interface to run AI workloads locally, in a hybrid cloud, or across multiple clouds. UbiOps simplifies AI production, enabling users to deploy models instantly into fully functional AI applications, from LLMs to computer vision and traditional data science models. It provides built-in MLOps and orchestration features, including API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security, and access management.

How to use UbiOps?

UbiOps allows users to deploy AI models through a single interface, regardless of the infrastructure. Users can manage their AI workloads locally, in a hybrid cloud, or across multiple clouds. The platform provides tools for API management, version control, scaling, monitoring, and security, enabling seamless transition from AI pilot projects to production.

UbiOps's Core Features

Model serving and orchestration

API management

Version control

Scaling algorithms

Monitoring and auditing

Resource prioritization

Security and access management

Hybrid and multi-cloud deployment

UbiOps's Use Cases

#1 Scaling computer vision workloads across GPUs

#2 Inno

UbiOps

📋Introduction

User Rating