A guide on running models locally
Article summary
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If you have a Macbook, you already have a GPU with more memory than most graphics cards. This is because Apple silicon has unified RAM that is shared across the GPU and CPU. The latest MacBook Pro comes with 24 GB of unified memory, that is effectively 24 GB of GPU memory. This is modest in the AI world, but it can definitely run a few quantized models locally. This article will explain how to find, choose, and run models locally on Apple devices with MLX. What is MLX? MLX is a machine learning…
1Key Takeaways
- If you have a Macbook, you already have a GPU with more memory than most graphics cards.
- This is because Apple silicon has unified RAM that is shared across the GPU and CPU.
- The latest MacBook Pro comes with 24 GB of unified memory, that is effectively 24 GB of GPU memory.
- This is modest in the AI world, but it can definitely run a few quantized models locally.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that if you have a Macbook, you already have a GPU with more memory than most graphics cards.
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