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// 62d agoINFRASTRUCTURE
M4 Pro 64GB: Local LLM Powerhouse
The M4 Pro (14-core CPU, 20-core GPU) with 64GB of unified memory is a premier configuration for local LLM inference, offering a substantial 273 GB/s of bandwidth. This setup allows developers to run 70B-parameter models at usable speeds or 32B-class models like Qwen 2.5 with massive context windows, making it a viable alternative to high-end Nvidia consumer GPUs.
// ANALYSIS
The M4 Pro's memory bandwidth is the real hero here, outperforming older Max-tier chips in specific LLM tasks and providing a significant uplift over the base M4.
- –MLX is the efficiency king on M-series chips, consistently beating universal tools like LM Studio in raw token-per-second metrics.
- –64GB RAM is the "goldilocks" zone, allowing for 70B models at Q4 quantization or 32B models with huge context windows.
- –Vision-language models like Molmo-7B and Qwen2-VL are the top picks for image tasks on this hardware, benefiting from the fast unified memory.
- –Local inference on this setup offers a "no-censorship" path through community finetunes like Dolphin or Hermes.
- –The 273 GB/s bandwidth puts this chip in a different league than the base M4, making it a high-performance workstation for local AI development.
// TAGS
llminferenceapple-siliconm4-promacosself-hostedmultimodalbenchmark
DISCOVERED
62d ago
2026-03-26
PUBLISHED
62d ago
2026-03-26
RELEVANCE
8/ 10
AUTHOR
just_another_leddito