Raporty o lokalnym AI

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 31 sierpnia 2026

Dwutygodniowe raporty o stanie lokalnych LLM: nowe modele z wymaganiami VRAM, zmiany cen GPU i aktualizacje narzędzi. Datowane, cytowalne wydania.

Local AI Report #4 — Best Laptops for Local AI · 31 sierpnia 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 · 25 sierpnia 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.
Wydanie #2 — Local AI Report #2 — The Best Open-Source Coding Models Right Now · 8 lipca 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.
Wydanie #1 — Local AI Report #1 — The Mid-2026 Local LLM & Hardware Landscape · 7 lipca 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.