Local LLMs

Building a High-Performance Inference Rig with 8x RTX 4090D and 192GB VRAM: Insights and Lessons Learned In our recent workshop, we assembled a custom on-premise inference server designed to handle…

Optimizing a $5,000 Budget for a Home-Lab Setup to Run 35B Parameter Language Models As artificial intelligence enthusiasts and professionals increasingly seek to host large language models (LLMs) locally, many…

Optimizing Large Language Model Performance on Consumer-grade GPUs: A Case Study with Qwen 3.8 27B on Dual RTX 5060 Ti In the rapidly evolving field of artificial intelligence, leveraging powerful…

Empowering Developers and Researchers: Running and Fine-tuning Qwen3-VL Locally Made Simple The landscape of artificial intelligence development continues to evolve rapidly, with increasingly sophisticated models becoming accessible to a broader…

Llama.cpp Continues to Improve with Each Update: Unlocking Greater Performance for Local AI Deployment In the rapidly evolving landscape of open-source AI tools, Llama.cpp has established itself as a compelling…

Enhancing an AI Computing Setup with a Second RTX PRO 4500: Exploring Dual GPU Configurations In the rapidly evolving landscape of artificial intelligence and high-performance computing, GPU capabilities often serve…

Introducing Mirai S: A Next-Generation Language Model Powered by Innovative Speed and Context Capabilities In the rapidly evolving landscape of artificial intelligence, Mirai Labs continues to push the boundaries of…

Optimizing Large Language Model Deployment on Legacy CPU Hardware: A Comprehensive Guide Leveraging Advanced Language Models on Vintage Hardware The rapid evolution of AI has led to the development of…

Creating a 24/7 Radio DJ Using a Local Language Model: A Guide to Building Your Own AI-Powered Station In the age of AI, creative projects often push the boundaries of…

Exploring the Exceptional Performance of Unsloth's IQ3_S Quantization of Qwen 3.8 27B In the rapidly evolving landscape of natural language processing (NLP), the quest for efficient yet powerful models remains…