Tailscale and LM Studio partner to provide encrypted access to remote LLMs on hardware you own.
LM Studio on Twitter / X
Introducing LM Link ✨ Connect to remote instances of LM Studio, securely.🔐 End-to-end encrypted📡 Load models locally, use them on the go🖥️ Use local devices, LLM rigs, or cloud VMsLaunching in partnership with @TailscaleTry it now: https://t.co/2iB4mwjfxy— LM Studio (@lmstudio) February 25, 2026
LM Studio on Twitter / X
Meet LM Studio's mobile app.Your local models, now in your pocket. pic.twitter.com/eQ04Q32YTd— LM Studio (@lmstudio) June 4, 2026
Run (your largest) local models from your iPhone
LM Link is now available on iPhone and iPad through Locally, LM Studio's mobile app
Minions: where local and cloud LLMs meet· Ollama Blog
Avanika Narayan, Dan Biderman, and Sabri Eyuboglu from Christopher Ré's Stanford Hazy Research lab, along with Avner May, Scott Linderman, James Zou, have developed a way to shift a substantial portion of LLM workloads to consumer devices by having small on-device models (such as Llama 3.2 with Ollama) collaborate with larger models in the cloud (such as GPT-4o).
any-llm platform: Cloud Vault and Usage Tracking for LLMs
any-llm managed platform adds end-to-end encrypted API key storage and usage tracking to the any-llm ecosystem. Keys are encrypted client-side, never visible to us, while you monitor token usage, costs, and budgets in one place. Supports OpenAI, Anthropic, Google, and more.
any-llm platform: Cloud Vault and Usage Tracking for LLMs
any-llm managed platform adds end-to-end encrypted API key storage and usage tracking to the any-llm ecosystem. Keys are encrypted client-side, never visible to us, while you monitor token usage, costs, and budgets in one place. Supports OpenAI, Anthropic, Google, and more.
How to Serve Local LLMs Anywhere: Secure Remote Access with Cloudflare and Unsloth | Unsloth Documentation
Unsloth is an open-source project that allows you to train and run LLMs locally and with Cloudflare tunnel, you can access Unsloth from your mobile device, share access to a friend or coworker, host Unsloth on a server such as Google Colab, AWS, or even a personal server.
Reuse your existing hardware to run LLMs privately and securely.
Trellis lets you run large language models on your organization's compute. Scale and data privacy, choose both.
OpenRouter
The unified interface for LLMs. Find the best models & prices for your prompts
Home - NobodyWho
NobodyWho is an inference engine that lets you run LLMs locally on any device
Tailscale Services
Securely connect to and manage access to your internal resources using Tailscale Services.
Model Context Protocol
An open protocol that enables seamless integration between LLM applications and external data sources and tools. - Model Context Protocol
Introducing any-llm: A unified API to access any LLM provider
When it comes to using LLMs, it’s not always a question of which model to use: it’s also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.
Tailscale | Secure Connectivity for AI, IoT & Multi-Cloud
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