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Hugging Face's LLM server; archived in 2026 after maintenance mode, with vLLM and SGLang recommended instead.
This project’s repository is archived and no longer accepts changes. Consider the alternatives below for new projects.
Other tools in the same categories.
vllm-project/vllm
High-throughput LLM serving engine with PagedAttention; the industry default for open-model inference.
sgl-project/sglang
Fast serving framework with RadixAttention prefix caching, strong on DeepSeek-style MoE and structured output.
NVIDIA/TensorRT-LLM
NVIDIA's library for optimized LLM inference on NVIDIA GPUs with in-flight batching and FP8/FP4 kernels.
microsoft/onnxruntime
Cross-platform inference accelerator for ONNX models on CPU, GPU, NPU, mobile and the web.
ai-dynamo/dynamo
Datacenter-scale inference orchestration with disaggregated prefill/decode over vLLM, SGLang or TensorRT-LLM.
llm-d/llm-d
Kubernetes-native distributed inference stack on vLLM with cache-aware routing, backed by Red Hat and Google.
ray-project/ray
Distributed compute framework for scaling Python AI workloads: data processing, training, tuning and serving.
triton-inference-server/server
NVIDIA's multi-framework model server for PyTorch, ONNX, TensorRT and Python backends at scale.
InternLM/lmdeploy
Toolkit for compressing, deploying and serving LLMs with the high-performance TurboMind engine.