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
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 gpustack
gpustack/gpustack
Performance-optimized AI inference on your GPUs. Unlock superior throughput by selecting and tuning engines like vLLM or SGLang.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work