Gpu-Acceleration

GPU vs CPU Inference with Ollama: Performance Guide for Consumer Hardware

TL;DR GPU inference with Ollama delivers 5-15x faster token generation compared to CPU-only setups on consumer hardware. A mid-range NVIDIA RTX 4060 (8GB VRAM) generates ~40-60 tokens/second with Llama 3.1 8B, while a modern CPU (Ryzen 7 5800X) manages only ~8-12 tokens/second. The performance gap widens dramatically with larger models. ...

llama.cpp vs Ollama: Which Local LLM Runner Should You Use

TL;DR - Quick verdict: Ollama for ease-of-use and Docker integration, llama.cpp for maximum control and performance tuning Ollama wins for most self-hosters who want their local LLM running in under 5 minutes. It handles model downloads, GPU acceleration, and exposes a clean OpenAI-compatible API at localhost:11434. Perfect for Docker Compose stacks with Open WebUI, and it integrates seamlessly with tools like Continue.dev for VSCode or n8n workflows. ...