Running local LLMs but getting terrible performance? You're probably using the wrong hardware. ๐ฅ I benchmarked every major setup so you don't waste thousands of dollars. โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ง WHAT THIS VIDEO IS ABOUT โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ Running AI locally is the future โ but hardware choices can make or break your experience. In this video, I break down the ultimate hardware showdown for Local LLMs: GPU vs CPU vs Apple Silicon. Whether you're a developer, researcher, or AI enthusiast, this is the no-BS guide you've been waiting for. ๐ฏ WHO THIS IS FOR โ Developers building AI-powered apps โ ML engineers moving to local inference โ Anyone tired of paying for expensive API calls โ Privacy-conscious builders who want AI offline โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โฑ๏ธ TIMESTAMPS โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ 00:00 โ Intro: Why Hardware Matters for Local LLMs 02:15 โ The Contenders: GPU vs CPU vs Apple Silicon 05:40 โ Benchmark Setup & Methodology 09:10 โ Performance Results: Speed (Tokens/sec) 13:30 โ VRAM vs RAM: What Actually Matters 17:45 โ Cost-to-Performance Analysis 21:00 โ Winner Revealed + My Personal Recommendation 24:30 โ Final Thoughts & What to Buy in 2025 (Update timestamps after final edit) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ก KEY TAKEAWAYS โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ VRAM is king โ why 8GB isn't enough for serious models โ Apple Silicon's unified memory is a hidden gem for LLMs โ The budget GPU that punches WAY above its weight โ Why more CPU cores โ faster inference โ The real cost of running AI locally vs cloud APIs โ Which hardware to buy depending on YOUR use case โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ JOIN THE CONVERSATION โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ฌ What hardware are YOU running local LLMs on? Drop it in the comments! ๐ If this saved you from a bad hardware purchase โ smash that LIKE button ๐ Subscribe for weekly deep-dives on AI, software engineering & system design โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ MY GO-TO SOFTWARE ENGINEERING PICKS โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ AI Engineering โ Building Applications with Foundation Models โ https://amzn.to/4t8g44k ๐ Hands-On Large Language Models โ https://amzn.to/4dDkXgH ๐ Hands-On Generative AI with Transformers and Diffusion Models โ https://amzn.to/3Qt12ax ๐ The Staff Engineer's Path โ https://amzn.to/47TQQOu ๐ Database Internals: Distributed Data Systems Deep Dive โ https://amzn.to/4miT5Rp ๐ The Software Engineer's Guidebook โ https://amzn.to/3O9pUna โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ MY BOOKS โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โจ Manas' Destiny: Tracing the Somras Trail โ https://amzn.to/4ss3Imr โจ Manas' Quest: Karan's Kavach Kundal โ https://amzn.to/4ce7v0e โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ #LocalLLM #AIHardware #RunAILocally #LLMBenchmark #Ollama #LlamaLocal #MachineLearning #GenerativeAI #AIEngineering #GPUvsAppleSilicon #PrivateAI #ArtificialIntelligence #SoftwareEngineering #AIIn2025 #TechReview