Solution Overview

Nov 5, 2020

ML DevOps

Enterprises invest in AI development often face the following challenges：

Multiple heterogeneous resource requirements
- Server, GPU, Object storage, File storage
Complex software components
- Big Data
- Machine Learning
- Web Services
Different professional expertise departments
- Data Scientist
- AI Scientist
- IT Operations
Leading to each department having its own process data
- Operational Silos

Gemini will you solve these problems by Gemini Open Cloud ML DevOps solution.

Through our multi-tenant and hierarchical role management, professors and TA can set up separate project space for each student
Cloud service marketplace enables data preparation and machine learning application environments to be pre-prepared and easily orchestrated
Support dedicated and shared resource zone, flexible computing mode according to usage scenarios to avoid spend a lot of budget for virtualized VM environment
Make AI teaching concentrate on AI tool application instead of wasting time in resource management
More storage resources choices, no need to be locked-in
Better scalability when encounter insufficient computing resources

Enterprise IT managers can package internal application services to enterprise private cloud through marketplace function
Able to integrate existing account system (AD) and to assign cloud solutions to different departments or projects
Deploy enterprise cloud applications through GOC PaaS and flexibly scale-out according to computing requirements
Different departments can log into the enterprise private cloud through Service Portal, but only use authorized application services
API Gateway is the only component outside the corporate firewall. API Gateway manages the user access to all application services and enhances security protection

Improve developer’s experience and attract more business opportunities
Ensure the security and optimization of enterprise systems while sharing resources
Lightweight and efficient design to meet any scale of demand
Get Insight from monitoring instant usage trends, increasing revenue and productivity
Heterogeneous resource management, providing rapid and flexible deployment according to enterprise needs