GLM 5 on cluster of Mac Studios

Alex Ziskind · 30.5K views · 428 likes Short

Analysis Summary

20% Minimal Influence

mildmoderatesevere

“Be aware that while the technical demonstration is transparent, the extensive list of affiliate links in the description creates a financial incentive for the creator to frame high-end hardware setups as desirable.”

Ask yourself: “Did I notice what this video wanted from me, and did I decide freely to say yes?”

Transparency Transparent

Human Detected

95%

Signals

The video features a known human creator providing a live demonstration of a custom hardware cluster with natural, unscripted speech patterns. The technical depth and specific physical configuration described are consistent with authentic human-led engineering content.

Natural Speech Patterns The transcript includes natural conversational markers like 'All right' and specific technical context delivered with human-like cadence and emphasis.

Personal Branding and History The channel belongs to a known tech personality (Alex Ziskind) with a long history of hands-on hardware demonstrations and custom GitHub repositories.

Technical Specificity The description details a specific physical setup (wiring four Mac Studios) and provides a custom GitHub link for the cluster configuration.

Worth Noting

Positive elements

This video provides a real-world benchmark for MLX distributed performance on Apple Silicon, which is valuable for developers tracking local LLM capabilities.

Influence Dimensions

How are these scored?

About this analysis

Knowing about these techniques makes them visible, not powerless. The ones that work best on you are the ones that match beliefs you already hold.

This analysis is a tool for your own thinking — what you do with it is up to you.

Analyzed March 13, 2026 at 16:07 UTC Model google/gemini-3-flash-preview-20251217 Prompt Pack bouncer_influence_analyzer 2026-03-08a App Version 0.1.0

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Transcript

All right, the new GLM 5. This is the 4-bit version which could easily fit on one Mac Studio. It's running across four. This is using Tensor Parallelism using MLX distributed. So, it's actually a little bit faster running on a cluster of four than it would be on just one. And we're getting about 23 tokens per second right now running across the cluster of four.

Video description

I wired four Mac Studios together and loaded a 1 Trillion parameter LLM. 🛒 Gear Links 🛒 ⌨️🏢 The rack in this video: tall version- https://amzn.to/4cvsfk3 short version - https://amzn.to/4j6Nuv4 🪛🪛Highly rated precision driver kit: https://amzn.to/4fkMVfg 💻☕ Favorite 15" display with magnet: https://amzn.to/3zD1DhQ 🎧⚡ Great 40Gbps T4 enclosure: https://amzn.to/3JNwBGW 🛠️🚀 My nvme ssd: https://amzn.to/3YLEySo 📦🎮 My gear: https://www.amazon.com/shop/alexziskind 🎥 Related Videos 🎥 🧳🧰 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 🧠🚀 INSANE Machine Learning on Neural Engine - https://youtu.be/Y2FOUg_jo7k 🧱🖥️ Mac Mini Cluster - https://youtu.be/GBR6pHZ68Ho * 🛠️ Developer productivity Playlist - https://www.youtube.com/playlist?list=PLPwbI_iIX3aQCRdFGM7j4TY_7STfv2aXX 🔗 AI for Coding Playlist: 📚 - https://www.youtube.com/playlist?list=PLPwbI_iIX3aSlUmRtYPfbQHt4n0YaX0qw My MLX cluster setup: https://github.com/alexziskind1/mlx-jaccl-cluster.git — — — — — — — — — ❤️ SUBSCRIBE TO MY YOUTUBE CHANNEL 📺 Click here to subscribe: https://www.youtube.com/@AZisk?sub_confirmation=1 — — — — — — — — — Join this channel to get access to perks: https://www.youtube.com/channel/UCajiMK_CY9icRhLepS8_3ug/join — — — — — — — — — 📱 ALEX on X: https://x.com/digitalix 📱 AWNI (MLX) on X: https://x.com/awnihannun #macstudio #m4max #m3ultra