LM Link: Use local models on remote devices, powered by Tailscale (tailscale.com)

LM Link, a collaboration with LM Studio, has been announced to enhance the accessibility and security of local large language models (LLMs) across remote devices. This innovative feature allows users to easily download, run, and share open-weight LLMs on their own hardware without exposing them to the public Internet. By establishing end-to-end encrypted connections between authenticated devices, users can seamlessly access powerful models—from laptops to remote GPU servers—eliminating complex setups and enhancing data privacy. This development is significant for the AI/ML community, as it empowers tinkerers and teams to leverage high-performance models in a secure environment while maintaining control over their data. With simple device onboarding through Tailscale's private networks, organizations can now utilize a range of models without the risks associated with public endpoints. Moreover, LM Link's underlying technology, built on tsnet, streamlines onboarding and keeps all interactions private, making it especially valuable for regulated industries and developers seeking to test large models safely. This democratization of access to robust LLMs promises to accelerate innovation and research in AI applications across diverse sectors.