llama.cpp for Edge Devices and TensorRT-LLM for Peak NVIDIA GPU Performance

The series covers llama.cpp, which runs LLMs on CPUs, GPUs and Apple Silicon using GGUF quantization for edge and local AI, and NVIDIA's TensorRT-LLM, which squeezes maximum inference performance from NVIDIA GPUs via optimized kernels and quantization.

2026-11-02 ~ 2026-11-02 · 2 related posts

• NVIDIA TensorRT-LLM: Optimized Kernels and Quantization for Max GPU Inference — goyalshaliniuk · 2026-11-02
• llama.cpp: Running GGUF-Quantized LLMs on CPUs, GPUs and Apple Silicon — goyalshaliniuk · 2026-11-02