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 Enterprise MLOps Platform for Scalable AI Development and Automation 

Clush Kube MLOps

Clush Kube MLOps streamlines AI workflows
with integrated model development tools, personalized workspaces, and centralized infrastructure management.

Key Capabilities

01

Personalized Analysis Environment

Create individualized “My Page” workspaces for each data scientist or analyst.

02

Collaborative ML Model Sharing

Share models, experiments, and history across teams to enable AI collaboration at scale.

03

Industry-Specific AI Workflows

Apply domain-specific pipelines tailored for training, optimization, and deployment.

04

Enterprise-Grade Cluster Resource Management

Centrally manage infrastructure with automated provisioning, reclamation, and scaling.

05

Automated Model Deployment & Pipeline Management

Automate the full lifecycle of model registration, validation, and deployment—including test environments.

06

High-Performance GPU Scheduling

Efficiently allocate resources for large-scale training and inference jobs.

Recommended For
  • Enterprises with multiple data scientists and AI developers

  • Organizations looking to automate the full AI lifecycle from development through operations

  • AI-centric teams prioritizing resource efficiency and operational consistency

How It Works
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Use Cases

Woori Bank

Challenges
Needed to build a secure AI infrastructure in a regulated financial environment without using public cloud services.

Solutions
Deployed an on-premise AI platform powered by Clush Kube to maintain internal network security while establishing governance for managing all ML/AI models and system integration.

Benefits
•    AI infrastructure compliant with financial regulations
•    AI standard interfaces integrated with internal systems (e.g., internet banking, mobile banking)
•    Platform foundation supporting Auto ML and model asset management

HL

Challenges

Operated across AWS and overseas on-premise environments, requiring real-time global deployment, CI/CD automation, and financial system integration.

 

Solutions

Implemented a multi-region cluster-based DevOps environment with Clush Kube. Automated CI/CD pipelines, enforced governance policies, and integrated Jira and accounting systems.

 

Benefits

•    Real-time deployment and reliability across global regions
•    Enhanced development speed and deployment productivity
•    End-to-end automation between operational and financial systems

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