Hi everyone,
With local LLM runners becoming much easier to set up (like Ollama or LM Studio), a lot of developers on our team have started running open-source models directly on their local workstations for code assistance and quick prototyping.
While it’s great for privacy and offline productivity, it raises a few questions from an IT/Security perspective—especially around resource allocation on developer laptops and monitoring what data interacts with local model instances.
I’m curious how other IT teams and admins are handling this:
Governance: Do you have formal policies around running local AI tools on company hardware?
Hardware: Are you upgrading dev specs (more RAM/VRAM) specifically to accommodate local AI tools?
Security: How are you auditing or managing local models compared to cloud-based AI endpoints?
Would love to hear how your organizations are balancing developer productivity with local model deployment!
