Can A Mac Beat A Gaming PC At Local AI?
Compute Market says every popular Llama 4 requirement guide is wrong. Chapters: 0:00 The $429 card that runs 109B 1:05 The formula every guide runs on 2:36 gpt-oss-120b only wakes five billion 4:02 Corsair splits the question in two 5:18 400 GB/s against a 64 GB/s pipe 6:41 A $1,999 Mac holds more than a 4090 7:54 The RTX 5090 still wins on tokens 9:11 ModelFit hands you a name, not a rule 10:14 16GB and 32GB both have real answers 11:36 Laguna S 2.1 wants 128GB, not 64 12:44 A free BIOS toggle hit 25 tokens/s 13:51 Meta paused its biggest Llama 4 model 14:54 What 16, 32 and 64 actually buy you 16:53 So what is your memory number? About The Stack The Stack helps you build with AI. Each video takes one tool, model, or workflow and shows how it works in a few focused minutes, with the real benchmarks and real costs. We go deep on Claude Code and Cursor for AI coding, AI agents and MCP servers, the open-source AI tools and GitHub repos most people miss, RAG and vector search, fine-tuning, and running local LLMs on your own machine with Ollama and LM Studio. We compare models like ChatGPT and Claude, test AI automation with Zapier, Make, and n8n, and flag the tools that actually ship. Subscribe for new breakdowns: https://www.youtube.com/@the-stack-ai?sub_confirmation=1 #AI #BuildWithAI #ClaudeCode
