On-Premises RAG LLM Hosting with NVIDIA AI Blueprint

We invite you for a hands-on lunch session showcasing a fully operational enterprise-level RAG LLM deployment running on your own hardware. This live demonstration will feature real document processing, interactive query handling, and comprehensive visibility into system architecture and performance monitoring. Please also feel free to share this opportunity with colleagues interested in private LLM hosting and implementation strategies (We can set this up for your team within half a day! As long as you have the GPUs).

Interactive demonstration with lunch provided! Researchers are also welcome to join! We look forward to your feedback.

Registration quickly at https://forms.office.com/e/ZdUMiUJHGZ?origin=lprLink as it helps us prepare adequate catering. To avoid waste, please let us know if you want to cancel your registration.

Questions? Contact supercomputing@tue.nl

🎯 Key Propositions

• Complete Solution Out-of-the-Box: Pre-integrated 15+ enterprise components including document processing, vector databases, embedding models, and multimodal AI capabilities
• Superior Performance: 2x improved throughput (1,201 vs 613 tokens/sec), 15x faster multimodal data extraction, and 50% fewer incorrect answers compared to traditional implementations
• Multimodal Intelligence: Advanced capabilities to understand and process text, tables, charts, images, and audio files from enterprise documents
• On-Premises Control: Full data sovereignty with enterprise-grade security, compliance, and customization while leveraging NVIDIA's optimized AI stack
• Low Cost But Up-to-date: Only requires hardware spending and maintenance efforts are low.