Join us in San Francisco for TailscaleUp!Grab your ticket ->

AI infrastructure access

Last validated:

Tailscale helps teams secure their AI infrastructure by providing private, encrypted connectivity between GPU clusters, model servers, and development environments. Whether you're running AI workloads across multiple clouds or self-hosting LLMs, Tailscale ensures only authorized users and services can access your AI resources.

Connect inference and training servers

Give GPU and inference servers identity-based access on your tailnet using tags and auth keys, with multi-tenant isolation and containerized workload support.

Centralize LLM access and spending

Route all LLM requests through a single gateway to eliminate API key sprawl, track per-user spending, and enforce access controls across developers, agents, and CI/CD pipelines.

Secure your AI training cluster

Remove the Kubernetes API server from the public internet and enforce identity-based access, session recording, and device posture for AI training cluster operations.