All That VRAM Needs a Bigger Brain

Four GPUs and 384GB of VRAM later, I wanted to know whether I’d spent my money on the parts my coding agents actually needed.

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🎥 Related Videos 🎥

💸🧠 Quant comparison vid - Everything looks fine at 4-bit
https://youtu.be/8IzUyLLn5NA
🧳🧰 Mini PC portable setup - https://youtu.be/4RYmsrarOSw
🍎💻 Dev setup on Mac - https://youtu.be/KiKUN4i1SeU
💸🧠 Cheap mini runs a 70B LLM 🤯 - https://youtu.be/xyKEQjUzfAk
🧪🔥 RAM torture test on Mac - https://youtu.be/l3zIwPgan7M
🍏⚡ FREE Local LLMs on Apple Silicon | FAST! - https://youtu.be/bp2eev21Qfo
🧠📉 REALITY vs Apple’s Memory Claims | vs RTX4090m - https://youtu.be/fdvzQAWXU7A
🧬🐍 Set up Conda - https://youtu.be/2Acht_5_HTo
⚡💥 Thunderbolt 5 BREAKS Apple’s Upcharge - https://youtu.be/nHqrvxcRc7o
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🧱🖥️ Mac Mini Cluster - https://youtu.be/GBR6pHZ68Ho

* 🛠️ Developer productivity Playlist - https://www.youtube.com/playli....st?list=PLPwbI_iIX3a
🔗 AI for Coding Playlist: 📚 - https://www.youtube.com/playli....st?list=PLPwbI_iIX3a

My LLM inference calculator GitHub repo: https://github.com/alexziskind....1/llm-inference-calc

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📱 ALEX on X: https://x.com/digitalix


⏱️ Chapters

00:00 Parts Selection
05:31 Workstation Build
14:39 System Setup
18:45 Agent Workloads
21:21 Benchmarks

#amd #gdxspark #ryzenaihalo