Self-Hosting GLM 5.2 with Modal Auto Endpoints

Melvin Vivas · X post · 2026-06-24 · Open on X

Topics: LLMOps, Deployment & Monitoring · Level: intermediate

Summary

Says you can serve the open-weight GLM 5.2 model on your own infrastructure using Modal's new Auto Endpoints. It quotes Modal's launch post, which pitches the feature as a way to 'actually own your inference' instead of relying only on hosted APIs.

Key points

• Modal launched Auto Endpoints, a way to deploy model inference endpoints on Modal.
• The pitch is that you control your own inference instead of renting it from an API provider.
• Open-weight models like GLM 5.2 can be deployed this way.
• Self-hosting is an LLMOps trade-off: you get more control and privacy but have to manage cost and serving yourself.

Resources mentioned

• Modal · tool · x.com · check price
  Serverless cloud platform for running and serving AI models and GPU workloads.
  Also in: OpenAI Agents API with Bring Your Own Sandbox as a backend for a 'software factory' (Melvin Vivas on X · notes)
• Modal Auto Endpoints · tool · modal.com · paid
  Modal feature for spinning up inference endpoints for models you choose.
• GLM 5.2 · tool · huggingface.co · free
  A GLM-family LLM (the transcript says 'GLM-5-2') that the demo ranked as a strong, affordable model for coding and design.
  Also in: Qwen3.8-Max on the Frontend Code Arena cost-performance frontier (Melvin Vivas on X · notes), Models That Work With the Hermes Agent for Personal Productivity (Melvin Vivas on X · notes), Open Model GLM 5.2 Helped Mitigate OpenAI-Caused Cyberattack (Melvin Vivas on X · notes), AI News Roundup: Claude Fable 5, Scientist AI, ZCode, NVIDIA RL (Melvin Vivas on X · notes) and 27 more

Try this

• Try deploying GLM 5.2 on Modal Auto Endpoints.
• Deploy an open-weight LLM (GLM 5.2) on Modal and compare its cost and latency against a hosted API.