RAGi On-Premise · Local AI Deployment

RAGi On-Premise AI Deployment — NVIDIA DGX Spark / Mac Studio

Fully On-Premise AI — Zero Data Leakage Risk

QubicX is the on-premise deployment solution for RAGi Enterprise AI, deploying enterprise knowledge decision-making and InfoMiner intelligence components within internal corporate environments. Supporting NVIDIA DGX Spark and Apple Mac Studio, data stays 100% internal, tailor-made for clients in government, finance, and high-tech manufacturing who prioritize data sovereignty.
One on-premise platform integrates document Q&A, knowledge retrieval, OCR, and ASR, keeping sensitive data inside your organization at every step.

NVIDIA DGX Spark
Apple Mac Studio
QubicX Mac Mini

Product Introduction Video

6 Key Reasons to Choose QubicX on Mac

Build Your AI Assistant in 5 Minutes

No IT headaches — simple and fast deployment! No complex setup or technical expertise needed. Build your own AI assistant in 5 minutes through an intuitive interface.

Absolute Data Security

On-premise deployment prevents personal data leaks, operating 100% independently on the enterprise side. All data remains on the Mac, ensuring complete corporate confidentiality and security.

Covers All Enterprise AI Needs

Complete feature suite including OCR, ASR, translation, and RAG. From document recognition to speech-to-text, translation to intelligent Q&A — everything included.

Super Easy Integration

Supports API and MCP integration with various data sources. Whether local files, cloud storage, or databases — easily import and build your knowledge base.

Powerful Performance

From GPT-OSS 20B to 120B LLM systems, optimized for Apple Silicon chips for peak performance. Even complex AI tasks get fast responses.

Department-Level AI

Perfect for departmental use with flexible scaling and on-demand configuration. Add machines to boost computing power as AI demands grow.

Complete Feature Specifications

AI Intelligent Assistant Platform

Freely download and deploy various open-source LLMs — from Llama and Gemma to GPT OSS series. Switch between models with one click based on task requirements.

OCR Intelligent Text Recognition

Supports text recognition from PDFs, images, scanned documents, and more. Optimized for Chinese with automatic table structure recognition and key field extraction.

ASR Speech Recognition Support

Integrates advanced speech-to-text technology for meeting minutes, customer service calls, voice memos, and more. Auto-generates transcripts with summarization and translation capabilities.

Multilingual Translation

Supports translation between 99+ languages including Chinese, English, and Japanese. Accurate and fluent results for document translation and cross-language knowledge retrieval.

RAG Intelligent Retrieval

Combines vector databases with hybrid search engines for precise knowledge retrieval. AI automatically cites relevant document sources to ensure evidence-based answers.

API & MCP Integration

Provides complete RESTful API and MCP integration, enabling seamless connection with existing enterprise systems, CRM, ERP, or automation workflows.

Product Screenshots


AI Intelligent Assistant Platform

AI Intelligent Assistant Platform

Freely download and deploy various open-source LLMs — from Llama and Gemma to GPT OSS series. Switch between models with one click based on task requirements.

OCR Intelligent Text Recognition

OCR Intelligent Text Recognition

Supports text recognition from PDFs, images, scanned documents, and more. Optimized for Chinese with automatic table structure recognition and key field extraction.

ASR Speech Recognition Support

ASR Speech Recognition Support

Integrates advanced speech-to-text technology for meeting minutes, customer service calls, voice memos, and more. Auto-generates transcripts with summarization and translation capabilities.

Multilingual Translation Feature

Multilingual Translation Feature

Supports translation between 99+ languages including Chinese, English, and Japanese. Accurate and fluent results for document translation and cross-language knowledge retrieval.

RAG Intelligent Knowledge Retrieval

RAG Intelligent Knowledge Retrieval

Combines vector databases with hybrid search engines for precise knowledge retrieval. AI automatically cites relevant document sources to ensure evidence-based answers.

Flexible API Integration

API & MCP Integration

Provides complete RESTful API and MCP integration, enabling seamless connection with existing enterprise systems, CRM, ERP, or automation workflows.

Choose Your Plan

Compared to Cloud AI:Save 73% in costs in the first year, with Unlimited Usage

QubicX - Standard Edition
Basic AI Feature Suite
Recommended Specs
M4 Max (16C CPU, 40C GPU, 16C NPU)
64GB UM, 1TB SSD
  • AI Intelligent Assistant
  • Image to Text (OCR)
  • Speech to Text (ASR)
  • Multilingual Translation Assistant
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QubicX - Premium Edition
Enterprise Deployment
Recommended Hardware
M3 Ultra (28C CPU, 60C GPU, 32C NPU)
256GB UM, 2TB SSD
  • All Advanced Features
  • Permission Management (Up to 50 Users)
  • Multi-Account Management
  • Open API Integration
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FAQ

QubicX is the on-premise deployment solution for RAGi Enterprise AI, deploying enterprise knowledge decision AI and InfoMiner intelligence analysis on NVIDIA DGX Spark or Apple Mac Studio, supporting 70+ large language models with 100% data security, ideal for government, finance, and high-tech manufacturing clients prioritizing data sovereignty.
Supports 70+ open-source LLMs including Llama, Qwen, Gemma, Mistral, CommandR, and more. Continuously updated with the latest model versions.
QubicX uses full on-premise deployment, with all data and model inference processed locally without external network connectivity, ensuring 100% of data is never leaked to any cloud service.
Just one Mac with Apple Silicon (M1 or later). We recommend Mac mini or Mac Studio — no additional GPU servers or server rooms needed.
Includes AI conversational Q&A, OCR document recognition, ASR speech recognition, multilingual translation, RAG knowledge retrieval, document summarization, and more — all integrable with enterprise systems via API.
Requires a Mac with Apple Silicon M1 chip or later. For entry-level use, we recommend an M4 chip with 64GB of memory (e.g., Mac mini M4 or MacBook Pro M4) for smooth performance with mainstream language models. For enterprise flagship deployments, M3 Ultra is recommended to support ultra-large-scale models and multi-user concurrent inference.

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