#vram

A local LLM needs about half a gigabyte of VRAM per billion parameters at Q4, then KV cache and context stack on top. Here is how to know a model fits before you download 40 GB.

Ollama Keeps Reloading the Model? Fix VRAM Unloading, Cold Starts, and Model Swapping (2026)

What hardware do you need for Llama 4 Maverick 400B? Multi-GPU requirements, cloud options, and whether it's worth self-hosting.

FP16 vs FP8 vs NF4 for Stable Diffusion and Flux — which quantization gives the best quality-to-VRAM tradeoff for image gen.

MiniMax M3 Local AI Hardware Guide 2026: The 428B Open-Weight Model You (Probably) Can't Run at Home

GLM 5.2 for Local AI in 2026: 744B MoE, MIT License, and Why It's Effectively Cloud-Only at Home

VRAM for 70B LLMs in 2026 — Q4 needs ~40GB (dual GPU), Q3 needs ~32GB (RTX 5090). Full quantization table with GPU setups.

NVIDIA, Apple, and Intel are fighting a three-way war for local LLM hardware dominance in 2026. Here's the VRAM tier guide with real benchmarks for every model class.

VRAM requirements for all Gemma 4 variants in 2026 — E2B, E4B, 26B-A4B MoE, and 31B Dense. Quantization breakdown plus GPU picks.

Qwen 3.6 35B-A3B for Local AI in 2026: The 24GB VRAM Line That Gets You 120 tok/s

VRAM requirements for Llama 3.1, Qwen 3, Gemma 4, and DeepSeek-R1 mapped to real GPUs and Apple Silicon configs — with a quick-reference table for every budget tier.

Qwen 3.7-Max for Local AI in 2026: What VRAM You'll Need When the Open Weights Drop