Mini PC for Large LLMs: Ryzen AI Max+ 395, DGX Spark and Mac with 128GB of Unified Memory
Mini PC for large LLMs: Ryzen AI Max+ 395, DGX Spark and Mac Studio compared on memory, bandwidth and reference prices, and why big memory does not mean fast.
Mini PC for large LLMs: Ryzen AI Max+ 395, DGX Spark and Mac Studio compared on memory, bandwidth and reference prices, and why big memory does not mean fast.
Ollama download slow? Check proxies and resume, move models with OLLAMA_MODELS, and pull GGUF files from ModelScope or Hugging Face. Windows, Mac, Linux.
Ollama vs LM Studio vs llama.cpp compared: setup effort, interface, API server, control and licensing, with a decision guide and how to switch between them.
Run an LLM on phone offline: five routes from AI Edge Gallery to MLC Chat and Termux, how big a model your RAM allows, and tips on heat, battery and privacy.
Local LLM installation service: five steps of remote setup, scope and deliverables, remote access safety, an acceptance checklist and when DIY is faster.
Used GPU for local LLMs: price per GB of VRAM for the RTX 3090 and 4060 Ti 16GB, an inspection checklist, burn-in tests, and and the listings that burn buyers.
LLM context length VRAM guide: the KV cache formula, worked examples for 7B to 70B models, f16 vs q8_0 vs q4_0 cache, Ollama defaults and out-of-memory fixes.
Enterprise private LLM deployment: pilot, department and company tiers, reference hardware budgets, layered design, OWASP-based security checklist and rollout.
Gemma local deployment with Ollama: compare Gemma 4 e2b, e4b, 12b, 26b and 31b sizes and context, pick one by VRAM, and set thinking mode, sampling, and fixes.
What is GGUF? Learn the GGUF format, how to install and run llama.cpp, how Q4_K_M and other quantizations change file size, and how it relates to Ollama.