vllm and gpustack
vLLM is a core inference engine that GPUStack wraps and orchestrates, making them complements—GPUStack provides multi-engine selection and performance tuning on top of vLLM's serving capabilities rather than replacing it.
About vllm
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
This project helps machine learning engineers and developers efficiently deploy and serve large language models (LLMs) in production environments. You provide your chosen LLM and receive a high-throughput, memory-optimized inference service ready for use. It's designed for ML engineers, MLOps specialists, and developers who need to integrate LLM capabilities into applications without sacrificing speed or cost efficiency.
About gpustack
gpustack/gpustack
Performance-optimized AI inference on your GPUs. Unlock superior throughput by selecting and tuning engines like vLLM or SGLang.
GPUStack helps organizations efficiently deploy and manage AI models for inference across various GPU setups, from on-premises servers to cloud environments. It takes your AI models and outputs optimized, high-performance services ready for use. This tool is designed for IT organizations, MLOps teams, and service providers who need to deliver AI models as a service at scale.
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