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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ KsanaLLM is a high performance and easy-to-use engine for LLM inference and serv

- Utilizes optimized CUDA kernels, including high performance kernels from [vLLM](https://github.com/vllm-project/vllm), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM), [FastTransformer](https://github.com/NVIDIA/FasterTransformer), [SGLang](https://github.com/sgl-project/sglang), [LightLLM](https://github.com/ModelTC/lightllm)
- Efficient management of attention key and value memory with [PagedAttention](https://arxiv.org/abs/2309.06180)
- Detailed optimization of task-scheduling and memory-uitlization for dynamic batching
- Detailed optimization of task-scheduling and memory-utilization for dynamic batching
- Prefix caching support
- Sufficient testing has been conducted on GPU/NPU cards such as A10, A100, L20, L40, H20, 910B2C etc

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