Air-Gapped AI Infrastructure

We build a closed network infrastructure based on Kubernetes to provide the execution environment necessary for AI service operation.

OVERVIEW

Even in a closed network environment AI services can be operated reliably.

Closed network AI Infra is not a service that only provides Kubernetes installation. We provide a single platform from infrastructure construction to execution environment and operation management to enable stable operation of AI services.

Offline Infrastructure Build

We support building AI infrastructure such as Kubernetes, GPU, and Storage without the internet.

AI Execution Environment

Provides an environment to run AI services by configuring AI Runtime, Model Serving, and GPU environments.

Integrated Operations

Reduce operational burden by managing everything from construction to deployment, upgrades, and operations on one platform.

CHALLENGES

In a closed network, AI infrastructure must be prepared before AI.

In an environment without the Internet, everything from Kubernetes-based infrastructure to container images, AI models, packages and operation tools must be prepared and managed internally.

You will need to obtain the necessary components without internet.

Container Images, AI models, packages and updates cannot be used directly externally. It must be safely brought into the internal environment and managed.

The infrastructure needed to run AI must be built directly without the internet.

Infrastructure required for AI operation such as Kubernetes, GPU Driver, AI Runtime, Storage, and Monitoring You must install and configure it yourself, without internet.

The construction method and operating environment vary for each project.

If the cluster configuration, image, AI model, and operation method vary for each project, maintenance and service expansion become difficult.

Continuous operation is required even after construction.

Even after deployment, you must continue to manage upgrades, monitoring, and failure response.

SOLUTION

We provide the core infrastructure needed to operate a closed-network AI platform.

Air-gapped installation and internal supply chain

Provides a foundation for building Kubernetes, GPU, and Storage without the internet.

Standard AI Runtime

Manage images, AI models, and packages consistently in internal storage.

Integrated authentication and security policy

Provides an environment to run AI services by configuring Runtime and Model Serving.

GPU · Kubernetes integrated observation

You can check the operational status at a glance through integrated observation of GPU, Kubernetes, and AI platform status.

Utilization of internal data and business

Manage the components required for deployment, updates and operation in your internal environment.

Managed K8s Expansion

Starting from a single closed network cluster, it expands to the environments of each division, factory, and institution using the same ORKESTRIX operating standards.

ARCHITECTURE

Service flow where data and AI operate seamlessly within a closed network

All components, from AI execution to data storage and operational management, are connected within a closed network.

Internal UsersPrivate GPT · RAG Search · AI Agent

SAMANDAInternal AI · Reasoning · Monitoring · Operations

ORKESTRIXKubernetes · GPU · AI Runtime · Model Serving · KServe · vLLM

AkashiQObject Storage · Documents · Dataset · Model Artifact

QKSMulti Cluster · Multi Tenant · Enterprise AI Platform

Internal InfraAir-Gapped · On-Premise · Private Network

No external API callsInternal registry operationUse your own modelAir-Gapped Operation

PRODUCT ROLES

Start with the areas you need and expand into a single, closed-net AI operating structure.

Each product can be introduced independently and is flexibly linked depending on the customer's data, service, and operating environment.

AI OPERATIONS

SAMANDA

Observe and analyze the status of AI services and infrastructure Supports operational response.

AI EXECUTION LAYER

ORKESTRIX

Kubernetes, GPU, AI Runtime and Provides a foundation for Model Serving execution.

DATA FOUNDATION

AkashiQ

Documents, Datasets, Model Artifacts and Store and manage AI-utilized data.

BEFORE / AFTER

Reduce the burden of building closed-network AI infrastructure, Ensure a sustainable operating foundation.

Before construction

Security risks and control difficulties due to external connection required
External storage and service-dependent images, packages, models, etc. are downloaded from outside, resulting in security issues and risk of supply interruption.
Manual-based deployment and configuration results in low operational consistency and high risk of errors
Monitoring and log management are distributed, making it difficult to respond to failures and understand performance

After building

Operates safely and independently without external connections in an air-gapped environment
Internal Registry-based asset management, integrated management of images, packages, models, and data in the internal registry to ensure security and consistency
Improve operational efficiency and consistency with automated deployment and updates
Integrated monitoring and log collection allows you to understand system status in real time and respond quickly

APPLICATIONS

데이터 반출이 제한된 산업에서 안전한 AI 운영 환경을 구축합니다.

민감한 데이터와 AI 모델을 외부로 보내지 않고, 조직의 보안 정책 안에서 AI 서비스를 운영할 수 있습니다.

제조 AI 운영 환경

설계 · 생산 · 품질 · 설비 데이터를 외부로 반출하지 않고 공장 내부에서 AI에 활용합니다.

공장 내부 GPU · Kubernetes 실행 환경
생산 · 품질 · 설비 데이터 내부 저장
작업 매뉴얼 기반 RAG · 현장 AI 활용
공장별 운영 · 보안 기준 통합 관리