Thursday, 5 November 2026 | Updating Daily AI insight, written for builders

AI Hardware, GPUs and Local LLMs — Page 10

Older stories and guides from the Convly archive.

10× — the spread we measured. LM Studio.
Tutorials

LM Studio: Complete Guide to Running Local AI Models

TL;DR:LM Studio is a free desktop application for running large language models locally on your computer without coding or command-line workDownload models directly from Hugging Face through the built-in browser, supports GGUF format with automatic quantization selectionIncludes chat UI, local API server (OpenAI-compatible), and automatic hardware acceleration (CUDA, Metal, CPU)Requires sufficient VRAM/RAM based on model size—typically 8GB minimum for 7B models, 24GB+ for 13B modelsLM Studio is a desktop application that lets you download, run, and interact with large language models on your own computer.

2× — the spread we measured. Ollama GPT OSS.
Tutorials

Ollama GPT OSS: Complete Guide to Running OpenAI’s Open Models

TL;DRgpt-oss:20b runs in ~16GB memory (fits most gaming GPUs), gpt-oss:120b needs ~70GB (single 80GB GPU or split across consumer cards)Install with ollama pull gpt-oss:20b or ollama pull gpt-oss:120b, then run with ollama run gpt-oss:20bBoth variants use MXFP4 quantisation at 4.25 bits per parameter and support 128K context windowsReleased by OpenAI as open-weight models in partnership with Ollama, comparable to Llama 3.1 and Qwen 2.5 in quality OpenAI released gpt-oss as open-weight models in August 2025, distributed exclusively through Ollama.

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