Ollama speeds up local AI on Macs with Apple M5: run models without the cloud

Ollama has released version 0.19 with hardware acceleration for Apple M5, M5 Pro, and M5 Max. Thanks to MLX and the chips' new accelerators, local models on Macs deliver the first token faster and generate noticeably quicker. Coding agents such as Claude Code and Codex will get faster too. There is one important catch: the new mode requires a computer with at least 32 GB of unified memory.

AI-processed from 3DNews AI; edited by Hamidun News
Ollama speeds up local AI on Macs with Apple M5: run models without the cloud
Source: 3DNews AI. Collage: Hamidun News.
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Ollama has added support for local AI on Apple's M5, M5 Pro, and M5 Max chips, using their built-in hardware acceleration to run models on macOS noticeably faster.

How do you run a local model on Apple M5?

Use Ollama 0.19 on an Apple M5, M5 Pro, or M5 Max with at least 32 GB of memory. The tool taps hardware acceleration through Apple's MLX framework to run language models faster.

How do you run a model locally on a Mac?

With Ollama, a tool for running language models locally. Version 0.19 adds support for Apple M5 chips with hardware acceleration for faster performance.

Can you use local AI on an M5 Mac?

Yes. Ollama 0.19 now supports Apple M5 and requires at least 32 GB of unified memory to run.

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Key Questions Answered

How do you run a local model on Apple M5?

Use Ollama 0.19 on an Apple M5, M5 Pro, or M5 Max with at least 32 GB of memory. The tool taps hardware acceleration through Apple's MLX framework to run language models faster.

How do you run a model locally on a Mac?

With Ollama, a tool for running language models locally. Version 0.19 adds support for Apple M5 chips with hardware acceleration for faster performance.

Can you use local AI on an M5 Mac?

Yes. Ollama 0.19 now supports Apple M5 and requires at least 32 GB of unified memory to run.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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