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Apple M3

Apple Apple silicon family with unified memory; 24GB maximum family capacity.

AI Workbench · sourced catalog

Why learn Apple M3?

Memory is shared with macOS and apps, and cannot be upgraded. Capacity shown is a family maximum, not every machine. Neural Engine TOPS do not predict LLM speed.

The problem it solves

Provides compute and memory for supported workloads using MLX · Metal · llama.cpp · Ollama.

Where it came from

Apple M3: Apple Apple silicon family with unified memory; 24GB maximum family capacity. Base third-generation Apple silicon; integrated CPU, GPU and unified memory. Memory is shared with macOS and apps, and cannot be upgraded. Capacity shown is a family maximum, not every machine. Neural Engine TOPS do not predict LLM speed.

Build your understanding

Work through these exercises in order. Try the task before opening a reference.

  1. Explain what Apple M3 does.
  2. Identify a use case for Apple M3.
  3. Describe a limitation of Apple M3.
  4. Name a compatible tool for Apple M3.
  5. Compare Apple M3 against an alternative.

Documentation and sources

Catalog research notes

Connect the ideas

Built on

MLXWeight quantization

Catalog source: technology-maxxing. This page reproduces the existing catalog’s learning material and source links.