Salvatore Sanfilippo rivoluziona l’AI ed io sono gasato (DS4 spiegato)

Join my AI Academy: https://www.rizzoaiacademy.com/ Want to develop advanced AI solutions? https://inferentia.xyz IG:   / simorizzo_ai   Salvatore Sanfilippo (antirez), the creator of Redis, has released DS4, a completely new inference engine designed to run DeepSeek 4 Flash locally. Repository (Leave a Star!): https://github.com/antirez/ds4 Follow Salvatore on YouTube: https://www.youtube.com/@antirez/videos This video isn't just a demo: we analyze how it works internally, the architectural choices, the optimizations that allow it to take full advantage of Apple Silicon hardware, and why this project could impact the future of local inference. Let's talk about: Why DS4 isn't meant to be a generic alternative to llama.cpp KV Cache on SSD and context management Quantization and optimizations specific to DeepSeek Metal, unified memory, and performance Antirez's design philosophy Why this project is important for the entire open-source AI community 00:00 - Introduction to Salvatore Sanfilippo (Antirez) and Darf Star 01:13 - What is Darf Star and how does it optimize DeepSeek V4 03:33 - The memory problem and the limits of AI models on PCs 09:04 - Dynamic and intelligent quantization 11:12 - DeepSeek's Mixture of Experts (MoE) architecture 14:18 - Data-driven empirical quantization 16:50 - Overcoming RAM limitations with SSD Streaming 21:50 - Input context management and session saving 23:04 - Real-world performance Darf Star (Benchmark) 12:31 PM - Distributed Inference with Multiple Connected Computers 10:09 PM - Conclusions, Project Support, and Farewells #AI #deepseek #llm