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TechnologyDev.to• 1d ago

n8n Demonstrates Fully Local AI Workflows on a Single NVIDIA DGX Spark

n8n has demonstrated a way to run AI workflows locally on a single NVIDIA DGX Spark, without relying on cloud AI APIs. The setup combines locally deployed models, an OpenAI-compatible endpoint , LiteLLM request routing, and n8n workflow orchestration. For organizations handling sensitive data o...

TechnologyDev.to• 1d ago

Ollama v1 OpenAI Compat Drops Think Toggle

The Problem We recently ran into an issue with the Ollama /v1 endpoint, which is designed to be compatible with OpenAI's API. Our models, particularly those from the Qwen3 family, were returning empty content. This was not the behavior we expected, given the models' capabilities.

TechnologyDev.to• 1d ago

lazycommit: a tiny local model writes my commit messages so I don't have to

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥 This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3. What I Built lazycommit is a small CLI that writes git commit messages for me. I stage my changes, run lazycommit , and a small open-weight mo...

TechnologyDev.to• 1d ago

Qwen3 4B vs 0.6B on a 6 GB GPU: Speed, Memory, and Answer Quality

For my personal retrieval-augmented generation (RAG) study, I needed a local model to answer questions from documents. My laptop has an RTX 3060 Laptop GPU with 6 GiB of VRAM, so memory use mattered alongside speed. I compared qwen3:4b and qwen3:0.

TechnologyDev.to• 1d ago

I Turned a Product Name into an Offline Wake Word — What I Had to Test

Most smart products already have a name. The hard part is making the device hear that name reliably without sending every conversation to the cloud. This is the product question behind a custom wake word: can a device recognize one short phrase locally, then start the next interaction?