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Cross-platform inference accelerator for ONNX models on CPU, GPU, NPU, mobile and the web.
pip install onnxruntime
Package onnxruntime, last 26 weeks.
onnxruntime
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.
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.
huggingface/text-generation-inference
Hugging Face's LLM server; archived in 2026 after maintenance mode, with vLLM and SGLang recommended instead.