Skip to content
Trending storyDeveloping

Rapid-MLX v0.16.0 adds TensorFold profiles claimed to speed Mac model throughput

1 article1 sourcesince Oct 9Last article 3h ago ·

Overview

AISummary of 1 article

Rapid-MLX releases v0.16.0 with TensorFold profiles for running AI models locally on Mac.

The release post, a single X post, says DeepSeek V4 Flash gains up to 2.1× throughput, Bonsai 2 27B gains 42%, and Gemma 4 26B gains 4%. The post does not give the baseline hardware or test method behind these figures, and no independent benchmark or follow-up report is included in this story.

Written by AI from the articles below · updated Oct 9, 3:59 PM ET

Check the sources:

Article timeline

The articles in this story. Times are ET.

Oct 9
  1. Rapid-MLX · local AI on your MacX
    Rapid-MLX v0.16.0 adds TensorFold profiles with speedups for local Mac models

    AIRapid-MLX v0.16.0 introduces TensorFold profiles for running AI models locally on Mac. The post says DeepSeek V4 Flash gains up to 2.1× throughput, Bonsai 2 27B gains 42%, and Gemma 4 26B gains 4%.

    Rapid-MLX v0.16.0 throughput benchmarks showing up to 2.1x speedup on DeepSeek V4 Flash

Heat trend

Not enough continuous observations to show a trend yet.