CUDA, Shmuda: Fold Proteins on a MacBook
Alphafold3 used to be fodder for HPC clusters; now I've got a port running smoothly on Apple Silicon. If you have an M-series Mac (~2023-present), you can generate protein structures from sequences in minutes. Give it a try! GitHub repo: https://github.com/latent-spacecraft/openfold-3-mlx
CUDA, Shmuda: Fold Proteins on a MacBook launched on November 17, 2025 with 11 votes, #906 of 9,796 launches that month and more than 75% of that year's launches.
In plain words
CUDA, Shmuda is a port of Alphafold3 optimized for Apple Silicon Macs, enabling users to generate protein structures from amino acid sequences in minutes without requiring high-performance computing clusters. Designed for researchers and developers with M-series MacBooks from 2023 onwards, it makes advanced protein folding prediction accessible on consumer hardware. The tool is available as an open-source repository on GitHub.
written from the facts on this page · September 2026
From the sources
How I got an Alphafold3 port running on Apple Silicon using PyTorch-MLX, and why your MacBook Air can now predict protein structures faster than research clusters from five years ago. In my opinion, Apple shares a lot of design and engineering etho with Mercedes-Benz. Both tend to overbuild their consumer products, offering a lot more performance and polish than we really need. Take the Mercedes G-Class, for example. This is an originally military vehicle, capable of racing up 60 degree rocky grades and fording streams. Yet, I only ever see them in urban parking garages. Similarly, the M-series chips contained in all Macs since 2023 haven't really been utilized for scientific compute tasks.…from latentspacecraft.com
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