Infrastructure: inference configs and AI stacks
Run a model on your own machine.
Mistral 7B on a 16 GB Mac with Ollama
Ollama Modelfile to run Mistral 7B Instruct locally on a 16 GB Mac: Q4…
Qwen2.5 7B with vLLM on a 24 GB GPU
Serve Qwen2.5 7B Instruct with vLLM on a 24 GB GPU: OpenAI-compatible API, 8k…
llama.cpp server for a GGUF model
Run any GGUF model with the llama.cpp server: OpenAI-compatible API on port…
Private chat on your documents: Ollama, Qdrant, Open WebUI
docker-compose stack for a private chat on your documents: Ollama (model),…
Minimal private AI chat: Ollama and Open WebUI
The simplest stack for a private AI chat: Ollama and Open WebUI with…
Local automations: n8n and Ollama
docker-compose stack to automate with a local AI: n8n (workflows) and Ollama…
What is AI model deployment?
Deployment means installing and configuring a model for use in an application, on a server or on a local machine. This family brings together resources to run the model, receive requests and generate responses with the available hardware.