
KTransformers框架如何通过CPU-GPU异构计算优化LLM推理与微调?
BLUF
KTransformers is a flexible framework for optimizing large language model inference and fine-tuning through CPU-GPU heterogeneous computing, featuring two core modules: kt-kernel for high-performance inference and kt-sft for efficient fine-tuning.
原文翻译:
KTransformers是一个通过CPU-GPU异构计算优化大语言模型推理与微调的灵活框架,包含两个核心模块:kt-kernel用于高性能推理,kt-sft用于高效微调。AI 搜索观察2026/4/10







