KTransformers uses clever CPU/GPU offloading to run very large mixture-of-experts models on a single consumer GPU that could not otherwise fit them.
| Category | Inference server |
| Type | Inference optimizer |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Advanced |
| Best for | running huge MoE models on modest hardware |
Other open-source inference server tools worth comparing:
vLLMHigh-throughput serving for production
TGIHugging Face's production text server
SGLangFast serving with structured outputs
LMDeployToolkit for compressing and serving LLMs
Aphrodite EngineHigh-throughput LLM serving
TensorRT-LLMPeak throughput on NVIDIA GPUs
OpenLLMServe any open model as an OpenAI API in one command
Ray ServeScale model serving across a cluster
BentoMLPackage any model into a production APIKTransformers is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. KTransformers is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include vLLM, TGI, SGLang. See the comparisons above to choose.
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