Local AI Reports

Written by Jakub Rusinowski · Last updated August 31, 2026

Biweekly reports on the state of local LLMs: new model releases with VRAM requirements, GPU price moves, and tooling updates. Dated, citable issues.

• Local AI Report #4 — Best Laptops for Local AI · August 31, 2026 — In a laptop, memory bandwidth and memory capacity sit at opposite ends of the price list. The fastest memory you can buy comes in the smallest quantity, the largest comes on the slowest bus, and exactly one part escapes the trade-off.
• Local AI Report #3 — Best Small LLMs for 8 GB and 16 GB RAM Laptops · August 25, 2026 — An 8 GB laptop leaves about 6.4 GB for a model, and a 16 GB laptop about 12.8 GB. Here is what actually fits, how much context you get, and how fast it runs with no discrete GPU.
• Issue #2 — Local AI Report #2 — The Best Open-Source Coding Models Right Now · July 8, 2026 — A field guide to the strongest open-weight coding models in mid-2026: the SWE-bench frontier (DeepSeek V4-Pro, GLM-5.2, Kimi K2.6), the best coder you can actually download (Qwen3-Coder), and the setup that gives the most code per dollar on a single GPU.
• Issue #1 — Local AI Report #1 — The Mid-2026 Local LLM & Hardware Landscape · July 7, 2026 — The first biweekly digest on the state of local LLMs: the mid-2026 model generation (Gemma 4, Qwen 3.6, DeepSeek V4), where GPU prices actually stand, and what the current best-value setup looks like.