AI Cube Basic – compact. powerful. local.
Your entry into local AI inference with NVIDIA RTX PRO 4000 Blackwell – perfect for chatbots, code assistance and models up to 13B parameters.
230 V • 292×185×372 mm • Mini-ITX
Technical Highlights RTX PRO 4000 Blackwell
Enterprise hardware with 24 GB VRAM in compact Mini-ITX format
NVIDIA RTX PRO 4000 Blackwell
24 GB GDDR7 VRAM
Sufficient for models up to 13B parameters (quantized)
46.9 TFLOPS FP32
8,960 CUDA Cores
Fast real-time inference
Use cases for local AI inference
Internal Chatbots
Run AI assistants for customer service or internal knowledge bases – completely local and GDPR-compliant.
Code Assistance
Use models like Qwen or DeepSeek for code completion, review and documentation – without sending your codebase to the cloud.
Small to Medium Models
Llama 3.1 (7B-13B), Gemma 3, Mistral 7B, Phi-4 and many other models.
Document Analysis
Analyze documents, contracts and reports with AI – completely local and confidential.
RAG Systems
Process knowledge bases with thousands to millions of documents.
Multi-Model Operation
Run multiple models in parallel – depending on hardware configuration.
Local GPT with our AI Cube
Use Open WebUI for a ChatGPT-like experience – completely local on your own hardware
The AI Cube can be delivered with Open WebUI based on customer requirements – an intuitive, user-friendly interface that enables a local ChatGPT-like experience. No cloud dependency, no API keys, no token limits – just you and your AI models.
ChatGPT-like Interface
Familiar and intuitive user interface for natural conversations with your local AI models
Completely Local
All data and conversations stay on your hardware – no connection to external servers required
Multi-Model Support
Switch seamlessly between different AI models within the same interface
No Token Fees
Unlimited usage without pay-per-use fees or monthly API costs
Open WebUI can be pre-installed and delivered ready to use upon request. Simply plug in, power on, and immediately interact with your local AI models – like ChatGPT, but completely under your control.
Advantages of local AI inference with AI Cube Basic
Data Sovereignty
All models and data remain in your network. No cloud dependency, no data transmission to third parties.
Cost Efficiency
One-time investment instead of monthly token fees. The acquisition pays for itself within a few months.
Performance
Minimal latency through local inference. No waiting times from cloud connections.
Full Control
Root access, free model choice, no API limits. You decide what runs.
Basic vs. Pro – which model fits?
Compare the two AI Cube models
AI Cube Basic
- NVIDIA RTX PRO 4000 Blackwell
- 24 GB VRAM
- Models up to 13B parameters
- Ideal for chatbots & code assistance
From €3,999.90
AI Cube Pro
- NVIDIA RTX PRO 6000 Blackwell
- 96 GB VRAM
- Models up to 120B+ parameters
- Ideal for large LLMs, RAG & training
From €12,999.90
View Pro ModelCase Study: Law Firm
How a law firm uses AI Cube for confidential research
!Challenge
A medium-sized law firm needed an AI solution for internal document research. Sensitive client data could not go to the cloud.
✓Solution with AI Cube Basic
- RAG system with Llama 3.1 (13B) for document search
- Completely local operation in the firm's network
- Integration with Open WebUI for easy use
→Result
80% faster research
Complete data control
ROI within 6 months
Technical Specifications
| Graphics Card | NVIDIA RTX PRO 4000 Blackwell (24 GB GDDR7) |
| Network | 1 GbE (10 GbE optional) |
| Dimensions & Weight | 292×185×372 mm (H×W×D), approx. 8 kg |
| Certification | CE, RoHS, GDPR-compliant |
| Security | Secure Boot, TPM 2.0, WireGuard VPN |
Included in Delivery
Frequently Asked Questions about AI Cube Basic
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