vllm and rtp-llm
These are competitors serving the same primary use case—high-throughput LLM inference optimization—though vLLM dominates with significantly broader adoption while RTP-LLM is Alibaba's proprietary alternative optimized for their specific infrastructure and use cases.
About vllm
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Implements PagedAttention for efficient KV cache management and continuous request batching to maximize GPU utilization. Supports multiple quantization schemes (GPTQ, AWQ, INT4/8, FP8), speculative decoding, and tensor/pipeline parallelism across NVIDIA, AMD, Intel, and TPU hardware. Provides OpenAI-compatible API endpoints and integrates directly with Hugging Face models, including multi-modal and mixture-of-expert architectures.
About rtp-llm
alibaba/rtp-llm
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
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