NVIDIA DGX Spark run fully on-prem RAG improved token speed

Engineers building a sovereign, fully on-premise RAG chatbot using an NVIDIA DGX Spark found that hardware memory bandwidth and arm64 container support posed greater challenges than the Python application code. By switching to vLLM, utilizing a mixture-of-experts model chosen for memory bandwidth limits, and implementing multi-token speculative decoding, the team significantly boosted token generation speed. Open article →