KTransformers claims huge LLM inference gains on consumer hardware
thisguyknowsai · x · 2026-07-20
KTransformers is an open-source framework for CPU-GPU heterogeneous LLM inference and fine-tuning. The post claims it can run DeepSeek-R1 671B on a single 24GB GPU, speed up inference by 3x–28x, and fine-tune DeepSeek-V3 on 4× RTX 4090s with better performance than ZeRO-Offload by 6x–12x.
It works by dynamically shifting workloads across GPU, CPU, and RAM instead of forcing everything into VRAM. The project also says it supports models like Kimi-K2, GLM, and Qwen3-Next with no extra work and has passed 17,000 GitHub stars.
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