Collected sources and patterns will appear here. Add from search or the patterns library.
ModelSpec + HardwareProfile -> ReadyInferenceEngine
Select and initialize the optimal runtime engine (e.g., GGML/llama.cpp, vLLM, or TensorRT) depending on available execution hardware (CPU, Metal, or CUDA).
Problem it solves
Deploying the same model across differing developer laptops, on-prem servers, and cloud instances requires manual hardware-specific configurations.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.