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Apple Silicon

Apple Silicon refers to the custom-designed microprocessors developed by Apple Inc. These chips integrate central processing units (CPUs), graphics processing units (GPUs), and neural engines onto a single system on a chip (SoC).


Why it matters

It matters because Apple Silicon offers a significant performance and power efficiency boost for Apple devices. This benefits engineers and operators by enabling more powerful on-device computing for applications and AI tasks.

How it works

Apple Silicon chips are built using a system on a chip (SoC) architecture, integrating multiple components like CPU, GPU, and specialized AI accelerators. This unified design allows for faster data transfer and lower power consumption compared to traditional multi-chip architectures.

What's happening now

Tools like LightLX and TensorFold leverage Apple Silicon to run large language models (LLMs) that would typically exceed a Mac's RAM [1, 2]. These solutions enable the execution of complex models, including Mixture-of-Experts (MoE) architectures, by streaming data directly from disk or utilizing frameworks like MLX [1, 2].

In the news

LightLX — Run models too big for RAM on Apple Silicon — any Hugging Face model, dense or MoE — by streaming weights from disk
TensorFold — Run MoE LLMs on Apple Silicone via MLX that your Mac should not normally be able to run

Auto-generated from Kapyn's news stream · grounded in 2 sources · updated Jun 25, 2026