@TheAhmadOsman: To be clear, CUDA is still more mature than MLX if you’re comparing GPUs to the new M5 Ultra Mac Studio However, the ec…

X AI KOLs Timeline News

Summary

The discussion compares CUDA's maturity to MLX in the context of Apple's M5 Ultra Mac Studio, stressing the need for competition to optimize hardware for local AI, which could enable Apple to surpass NVIDIA.

To be clear, CUDA is still more mature than MLX if you’re comparing GPUs to the new M5 Ultra Mac Studio However, the ecosystem took years for CUDA to mature and we need competition and people to optimize all available hardware This is a win for Local AI in anyway you look at it
Original Article
View Cached Full Text

Cached at: 08/27/26, 09:40 PM

To be clear, CUDA is still more mature than MLX if you’re comparing GPUs to the new M5 Ultra Mac Studio

However, the ecosystem took years for CUDA to mature and we need competition and people to optimize all available hardware

This is a win for Local AI in anyway you look at it

Ahmad (@TheAhmadOsman): In other words, Apple might beat NVIDIA in Local AI if the later doesn’t change course

Similar Articles

Apple Mac Studio (M5 Ultra) Review: Unlimited Power

Wired

Wired reviews Apple's Mac Studio with the M5 Ultra chip, highlighting its ability to run frontier-level AI language models locally with up to 256GB of unified memory, while noting it still lags behind Nvidia GPUs and can run hot.

Which computer should I buy: Mac or custom-built 5090? [D]

Reddit r/MachineLearning

A user seeks advice on whether to purchase a Mac (M5) or custom-built RTX 5090 for machine learning projects involving fine-tuning, custom pipelines, and image/video-heavy workflows, with curiosity about Apple's MLX framework as an alternative to NVIDIA CUDA.