Bare-Metal LLM Inference in Pure C#: Bypassing CUDA Toolkits and Native C++ DLLs The conventional consensus across AI engineering is simple: high-performance local LLM execution belongs exclusively to C++ runtimes, multi-gigabyte CUDA toolkits, and bindings over llama.cpp or vLLM. When orchestrating local models from managed languages like C#,... Weiterlesen
Intelligence View
⚡ tsecurity.de Intelligence
Why Local LLMs Don't Need C++ or Python: Building a 15MB Native AOT Inference Engine in .NET 10
Bare-Metal LLM Inference in Pure C#: Bypassing CUDA Toolkits and Native C++ DLLs The conventional consensus across AI engineering is simple: high-performance…