Ollama Service — Full Configuration & Performance Manual
Learn how to install and configure Ollama for optimal performance. This guide covers setup, model storage, environment tuning, and key tips to keep your AI workflows efficient and stable.
Artificial Intelligence
Step into the world of Artificial Intelligence! In this section, we'll explore cutting-edge AI technologies, dive into real-world applications, and discuss how machine learning is shaping the future. From AI breakthroughs to practical uses in daily life, I'll cover it all with insights, tips, and thought-provoking discussions on this ever-evolving field.
Latest posts
Ollama: A Complete Guide to Running and Managing Large Language Models Locally
Ollama lets you run powerful large language models like LLaMA and Mistral locally, with full privacy and no cloud costs. In this post, we’ll cover installation, setup as a service, pulling models, and making requests in Bash and Python.
Building My Home AI Server – Part 5: The Graphics Card Dilemma
Before installing the OS on my DIY AI server, I faced the GPU puzzle: tight slots, PCIe 3.0 limits, and a pricey new PSU. After much research, I settled on an RTX 2080 Ti—ordered from eBay and now stuck waiting a month for delivery.
Building My Home AI Server – Part 4: Power Supply, Assembly, and Ubuntu Installation
I swapped in a 1300W PSU, added drives with heatsinks, wrestled with cable management, and installed Ubuntu 25.04. By 1 a.m., the panels were closed and my budget AI server was finally alive and ready for the next stage.
Building My Home AI Server – Part 3: Storage Wars and First Boot
I added NVMe drives, old HDDs, and even a vintage GTX 960 to my budget AI ‘supercomputer.’ After some BIOS beeps and surprises, the system finally came to life—ready for Ubuntu and the next step in my AI server journey.
Building My Home AI Server – Part 2: Hunting for Parts and First Mistakes
I stripped my old PC down to its case and power supply, then rebuilt it with a dual-CPU X99 motherboard, 128 GB of RAM, and budget Xeons. Along the way, I made mistakes, learned lessons, and took the first real step toward my home AI server.