Alternatives to NVIDIA Triton Inference Server

An open-source inference server for deploying machine learning models from many frameworks on GPUs and CPUs. The listings below can replace it for an important use case. Each note says what changes if you switch.

Replacements

Listings that take over the same core job as NVIDIA Triton Inference Server.

  • KServe

    A Kubernetes-native platform for serving predictive and generative AI models at scale.

    FreeOpen sourceSelf-hosted

    KServe provides a Kubernetes-native serving layer for predictive and generative models across frameworks, installed with Helm, and requires a Kubernetes cluster to run.

  • OpenVINO Model Server

    A self-hosted inference server for serving AI models that have been optimized with OpenVINO.

    FreeOpen sourceLinuxSelf-hosted

    OpenVINO Model Server serves models converted to OpenVINO formats from Ubuntu or Red Hat containers, narrowing framework support compared with Triton, under Apache-2.0.

  • vLLM

    High-throughput, memory-efficient inference and serving engine for LLMs.

    FreeOpen sourceLinuxCommand line

    vLLM focuses on high-throughput serving of language models on Linux GPUs rather than models from many ML frameworks, and uses the Apache-2.0 license.

  • SGLang

    A serving framework for running large language models and multimodal models on your own GPUs.

    FreeOpen sourceSelf-hostedCommand line

    SGLang serves language and multimodal models on your own GPU servers with Docker files and benchmark tooling, but does not cover classic ML frameworks.

  • Sonar

    A self-hosted LLM inference server, formerly Aphrodite Engine, that serves Hugging Face models through OpenAI-compatible APIs.

    FreeOpen sourcemacOSLinuxSelf-hostedCommand line

    Sonar, formerly Aphrodite Engine, serves Hugging Face language models through OpenAI-compatible APIs on NVIDIA, AMD, Intel, CPU and more, under the AGPL-3.0 license.

  • Xinference

    An open-source inference server for running language, speech and multimodal models through one API.

    FreeOpen sourcemacOSLinuxSelf-hostedCommand line

    Xinference serves language, speech and multimodal models behind one GPT-style API, running from a laptop to servers, rather than general ML framework models.

  • LocalAI

    Serve language, image and speech models on your own hardware.

    FreeOpen sourceLinuxmacOSSelf-hosted

    LocalAI serves language, image and speech models on Linux or macOS behind APIs compatible with common AI services, aimed at self-hosters rather than production infrastructure teams.

Also worth comparing

These listings name NVIDIA Triton Inference Server as their own alternative, so the relationship runs both ways.

  • GPUStack

    An open-source GPU cluster manager for serving AI models with vLLM and SGLang on your own hardware.

    FreeOpen sourceSelf-hosted

    NVIDIA Triton Inference Server serves models from many ML frameworks on GPUs and CPUs with Docker-based deployment, instead of managing vLLM and SGLang across a GPU pool.

Similar software

Related functionality, not a direct replacement.