The practical local AI stack brief for builders.
A 4–6 minute Wednesday briefing on local LLMs, model runtimes, VRAM limits, AI tools, cloud fallback options, and infrastructure decisions.
Get the weekly local AI stack brief
Practical updates on VRAM limits, model runtimes, local setup workflows, and cloud fallback options. No noise.
No spam. Unsubscribe any time. Sponsor mentions are disclosed.
What you'll get
Practical install and config guidance for Ollama, LM Studio, and related runtimes.
What your GPU actually supports and which model sizes fit your machine.
New open-weight releases, quantization options, and runtime performance notes.
Side-by-side breakdowns of runtimes, frontends, and infrastructure options.
When local inference isn't practical: RunPod, Lambda Labs, and API-gateway options.
A single recommended path per topic. Practical, not exhaustive.
Who it's for
- Developers comparing practical AI tools
- Founders and technical operators choosing AI infrastructure
- Local AI users trying to run models on their own hardware
- Agencies and builders creating AI workflows for clients
First issue roadmap
- Local AI is splitting into local, cloud, and API-gateway workflows
- What 12 GB, 16 GB, and 24 GB VRAM actually mean
- Ollama vs LM Studio vs Jan
- Local, cloud, or API gateway: how to choose
Editorial promise
OpenSourcesAI Weekly is editorial-first. Sponsor mentions and affiliate relationships are disclosed, and paid placements do not guarantee rankings, positive conclusions, or removal of alternatives.