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rtp-llm

alibaba/rtp-llm

Alibaba's high-performance LLM inference engine for diverse applications.

GitHub

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1.3k stars260 forksLast push today Cuda Apache-2.0

Decision brief

RTP-LLM is Alibaba's high-performance inference engine for LLMs, specifically designed and optimized with CUDA. It supports a variety of applications from GPT to LLaMA models.

Good fit when

When you are looking for a tool that leverages CUDA-based optimization for deploying Large Language Models (LLMs) across diverse applications.
If your project requires high-performance inference capabilities, particularly when running on NVIDIA GPUs due to its CUDA foundation, RTP-LLM can provide significant efficiency.

Avoid when

When your development environment does not support CUDA as RTP-LLM is primarily based on it and might perform inadequately without direct GPU-acceleration from NVIDIA.
If your project has strict licensing constraints; while the Apache-2.0 license is permissive, certain projects may require tools with different or more restrictive licenses to meet compliance needs.

Requirements:: Requires CUDA configuration and NVIDIA GPU availability to exploit its full performance capabilities.

Observed Jul 11, 2026 · Source: enrich:decision_facts

rtp-llm alternatives Trust report

rtp-llm vs vllm

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of today
Provenance: Not a fork · Organization account; As of today
Security (OSV): No lockfile; As of 1mo

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Backing

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Company: Alibaba·GitHub org profile·1mo
Commercial model: Pure OSS·GitHub org profile (public repos)·1mo

Install

git clone https://github.com/alibaba/rtp-llm

How it fits your stack(4)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

vllm

Both RTP-LLM and vllm are high-performance LLM inference engines designed for efficient running of large language models, offering similar functionality but with different implementations.

alternative

Integrates

ollama

RTP-LLM provides LLM inference capabilities that could be utilized by ollama for getting up and running with different LLMs, potentially improving its performance.

integrates

transformers

RTP-LLM integrates with transformers because it leverages transformers' extensive library of pre-trained models for text-related tasks to provide high-performance inference acceleration through its CUDA kernels and quantization techniques, optimizing these models for deployment on various hardware configurations.

integrates

mlc-llm

RTP-LLM and mlc-llm both deal with large language model deployment but approach the problem differently, RTP-LLM focusing on inference acceleration while mlc-llm focuses on universal deployment via ML compilation.

Relationship graph

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AlternativeIntegratesRelated

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

TensorRT-LLM

Python API for defining and optimizing Large Language Models (LLMs) on NVIDIA GPUs

14k★

Evidence and technical details

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Overview

RTP-LLM is an inference engine that provides high performance for various large language model (LLM) applications.

Capability facts

Languages: cuda
Source: github.language · Aug 20, 2026

Graph entities

Alibabacompany vLLMframework Smolagentsframework

README

Getting Started

For agents

This page has a .md twin and JSON over the API.

/tools/alibaba-rtp-llm.md GET /api/graphcanon/tools/alibaba-rtp-llm GET /api/graphcanon/graph?tool=alibaba-rtp-llm