A consultant is designing a hybrid AI pipeline for a regulated financial client that processes sensitive documents like bank statements and tax returns, requiring local LLMs for OCR and PII tokenizati…
AMD's ROCm platform now supports PyTorch, Ollama, LM Studio, and ComfyUI out of the box, enabling local AI workloads on AMD GPUs without the compatibility issues that plagued earlier versions. Users w…
Ollama and LM Studio now allow users to run open-weight AI models like Qwen 3, Gemma 3, and DeepSeek-R1 locally on consumer hardware without API keys or monthly fees. The tools support quantized model…
Cloud AI pricing surged in 2026, prompting developers to reconsider local models for cost savings and ownership. However, tools like LM Studio and Ollama introduce their own lock-in through proprietar…
Zed users can now run local AI models directly within the editor, offering complete data privacy, predictable costs, and always-available access without reliance on cloud providers. The company report…
The article describes a technical setup for running a local AI coding assistant (Aider) on Apple Silicon Macs using a custom Python server with the MLX library for direct RAM loading of language model…
The article compares three local LLM-based code completion tools—Zed AI, Continue, and Cursor—highlighting their strengths and weaknesses for different workflows. It notes that local models offer priv…
The article describes the author's successful setup for running local AI models on an M4 Mac with 24GB of memory, specifically highlighting Qwen 3.5-9B (Q4 quantized) as the best performing model at ~…