Apple silicon

A buying guide for running coding agents on your own hardware. Why prompt caching makes generation speed the number that matters, where a cold cache costs you minutes instead, a comparison table of Mac Studio M5 Ultra, RTX 5090, Radeon AI PRO R9700, Strix Halo and DGX Spark with September 2026 prices, and the memory every open-weight coding model actually needs.

Apple's M5 Ultra Mac Studio tops out at 512GB of unified memory at 1.2TB/s. Here is the memory math, which large open-weight LLMs actually fit, measured tokens per second, and three ways to run a model bigger than 4-bit allows: Unsloth GGUF quants, streaming weights off SSD, or a Thunderbolt 5 cluster.

oMLX turns a Mac into an OpenAI-compatible inference server with continuous batching and SSD-backed KV caching. Here's how it works, its new multi-Mac clustering, and how to reach it from your phone or a coding agent with Pinggy.

Apple shipped an official container tool at WWDC 2026. Each container gets its own lightweight VM, startup is sub-second, and it pulls standard OCI images from Docker Hub. Here's how it works, how it compares to Docker, and how to share containers publicly.

A practical hardware guide for self-hosting LLMs in 2026. Compare consumer GPUs, Apple Silicon, enterprise cards, and pre-built AI workstations. Find the right setup for 7B to 405B models at every budget.