Community
vLLM Bangkok
The Thai community around vLLM, the open-source engine that serves large models fast, for the people who build AI inference and infrastructure.
A place to share what it takes to run AI models fast, affordably and in production, from hardware and engines to applications.

01About
AI inference is the moment a trained AI model is put to work. Every chatbot reply, every summarised document and every image a model reads is AI inference.
What AI inference is
AI inference is what comes after training: a trained model, such as a large language model (LLM), takes a question and produces an answer. Training teaches the model. AI inference is the part people actually touch, and the part that has to stay available.
Why AI inference matters
How long a person waits for an answer, how many people a system can serve at once and what each answer costs are all decided at the AI inference step. They come down to the hardware, the engine and the settings you choose.
Why a community
AI inference tools change quickly, and the knowledge that holds up usually comes from someone who has already tried. Siam Inference is a place for people in Thailand who work on AI inference to share what they tried, what they measured and what they learned.
02Topics
Siam Inference talks about three things: the machines models run on, the software that makes them answer quickly, and the people doing the work.
Where models run
Compute is the machine an AI model runs on: a GPU, a purpose-built accelerator, a server in your own building (on-premises) or the cloud. Each choice trades speed, price and upkeep differently.
What makes it fast
An inference engine is the software that loads a model and serves it to users; vLLM is one example. Techniques such as batching requests, shrinking the model (quantization) and managing memory let the same machine answer sooner and serve more people.
The people who build
Knowledge about AI inference lives with the people doing the work: measuring in a way others can compare (benchmarking), using models for Thai-language tasks, and the lessons from putting a system into production.
03Network
Siam Inference is in the same network as these sites. Each one has its own content and its own focus.
Community
vLLM BangkokThe Thai community around vLLM, the open-source engine that serves large models fast, for the people who build AI inference and infrastructure.
Community
Cerebras ThailandA community for Cerebras users and developers in Thailand.
Company
A Thailand-based company that sets up private AI that works where you are: Local AI that runs in your office, Hybrid AI that adds the cloud when you choose, and Physical AI inside machines and robots.
Product
PreMizeAGICAFET’s product: private AI in one box, a ready-to-run AI system on NVIDIA DGX Spark.
04FAQ
05Join
Coming Soon
Siam Inference’s own channel is coming soon. For now, follow the vLLM Bangkok and Cerebras Thailand pages on Facebook.