Available
Local Video Generation Studio
Local LLM Environments
MiniMax H3 set up to run on your Windows 11 PC. We choose the inference stack for your specs and purpose, from hardware diagnosis to generation tests.
Local LLM Environment
Local LLM Environments
GPU / LLM / RAG / on-premises AI
AI environments on your own PC or server, where data never leaves. LLM inference, image and video generation and RAG, configured to fit the hardware you have.
Local LLM inbox: local-llm@aicouturelab.com
What we can do in this domain
For those uneasy about cloud AI fees or how their data is handled. We build LLM, image generation and video generation environments that run on your own GPU machine, from hardware diagnosis through installation and testing.
Inference servers such as vLLM and SGLang, local LLM runtimes, RAG (retrieval-augmented generation): we choose the configuration for the purpose and stay with you until it actually runs on your PC.
Services
Hardware diagnosis and configuration design
We check GPU, VRAM, memory and storage, and choose a lean configuration for the models you want to run.
LLM, image and video generation setup
Local LLM runtimes and inference servers, generative models installed and configured, through to generation tests.
RAG and knowledge search
An on-premises knowledge base that searches and summarises your documents without sending them outside.
Operation support and guidance
Basic operation, updates and troubleshooting. You can keep consulting us after rollout.
Who it is for
- Individuals and teams handling data that cannot go to the cloud
- Creators who want to use generative AI without worrying about cost
- Anyone who wants to put a gaming PC to work
Local LLM Environments: talk to us.
We start by hearing where you are and what you want. Vague is fine.
Share whatever you know about these three things.
- Your goal or the problem you want to solve
- Your current setup and tools
- Preferred timing and budget, if known
Start with one thing you want to make possible.
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Your message goes to the Local LLM inbox. We reply by email.
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