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Notes from the farm.
What actually worked, what melted four Macs, and the exact job files behind the clips.
AI Video Apple Silicon Render Farms Infrastructure
AI Video Generation on a Mac: What to Actually Expect
Whether a Mac can generate AI video, how long a clip really takes, how much memory it needs, and when more Macs help — with measured numbers, not vendor ones.
23 Oct 2026Apple MLX vs Ollama: What Each One Is Actually For
MLX and Ollama get compared constantly and barely overlap. One is an array framework you build on, the other is a packaged runner for chat models. Here is which you want.
23 Oct 2026Free AI Video Generator for Mac: What "Free" Actually Means
Four different things get called a free AI video generator on Mac. Only one of them has no meter attached, and it is not the one with a download button.
23 Oct 2026Is Apple Silicon Good for AI? An Honest Answer
Apple Silicon is excellent at one thing for AI and mediocre at another. Which one matters depends entirely on whether your work is batch-shaped or latency-shaped.
23 Oct 2026What Does a Render Farm Cost, and Is One Worth It?
Render farms are priced three completely different ways. Here is what each really costs, and the question that tells you whether you need one at all.
23 Oct 2026What Is a Render Farm? And the Free One Already in Your Office
A render farm is just many machines doing one queue. Here is what the term means, why the Blender answer and the AI-video answer differ, and what the Macs you already own can do.
23 Oct 2026What Is Apple MLX? The Framework, Not the Marketing
MLX is Apple's array framework for Apple Silicon. What it actually is, how it differs from PyTorch and MPS, whether it is open source, and the one gotcha that cost us a sweep of renders.
23 Oct 2026CUDA Performance on Macs for AI Video: What MLX Actually Gives You
Unified memory beats VRAM for model size, loses on raw throughput, and lies to every free-memory API. How we priced jobs instead of guessing.
29 July 2026LTX Meets NVLink: Why You Can't Split One Render Across Macs
Tensor-parallel diffusion needs ~900 GB/s. Your ethernet does 0.125. Here's the maths, and the parallelism that actually works on Macs.
29 July 2026Autopilot: Queue the Night, Read the Report
An unattended render farm needs four rules and a pause button. Here's the autopilot that runs our Macs overnight — and what it refuses to do.
29 July 2026Who Needs CUDA? 4 Macs, One Folder, 4× Video Throughput
We turned four M4 Macs into an AI video render farm with a $20 switch and one shared folder. No NVIDIA, no cloud bill, near-linear scaling.
29 July 2026