#ai

Move your team off shared and per-user virtual API keys and onto identity-based access for your AI gateway - no keys to generate, distribute, or rotate for human users.

• ai
• security
• zero-trust
• getting-started

Virtual API keys solve model routing and budgeting well, but they were never built to be an identity system. Here's where that gap shows up in self-hosted LiteLLM and Bifrost deployments, and what to do instead.

• ai
• security
• zero-trust
• self-hosted

A general-purpose guide to putting any self-hosted model server - vLLM, Ollama, llama.cpp, LM Studio, LocalAI, or a private downstream gateway - behind Pangolin's identity-aware AI gateway.

• ai
• self-hosted
• remote-access
• zero-trust
• getting-started

Run open-weight models like DeepSeek, Qwen, and Kimi K2 on your own hardware, then reach them securely from anywhere through Pangolin's AI gateway - no API keys, no data leaving your infrastructure.

• ai
• self-hosted
• remote-access
• zero-trust
• open-source

Give engineers and coding agents access to a self-hosted vLLM or Ollama cluster from one endpoint, authenticated by identity instead of API keys passed around a team.

• ai
• self-hosted
• remote-access
• zero-trust
• vllm
• ollama

Pangolin 1.22 introduces an AI Gateway for cloud and self-hosted models with identity-aware access. SSH, RDP, and VNC public resources, plus SSH and HTTPS private resources, are now available in Community Edition.

• release
• changelog
• ai

Access your NVIDIA DGX Spark from any laptop without SSH, a VPN, or an open port. Run Ollama on the Spark and reach it through Pangolin's identity-aware AI gateway, from the same endpoint you use for cloud models.

• ai
• self-hosted
• remote-access
• nvidia-dgx-spark
• getting-started
• ollama

Learn what MCP tunnels are, how they connect AI agents to private Model Context Protocol servers over outbound-only connections, and why they matter for enterprise security.

• mcp
• zero-trust
• networking
• security
• ai