Alternatives to OpenVINO Model Server

A self-hosted inference server for serving AI models that have been optimized with OpenVINO. The listings below can replace it for an important use case. Each note says what changes if you switch.

The original

Replacements

Listings that take over the same core job as OpenVINO Model Server.

  • NVIDIA Triton Inference Server

    An open-source inference server for deploying machine learning models from many frameworks on GPUs and CPUs.

    NVIDIA Triton Inference Server serves models from many ML frameworks on GPUs and CPUs, so models need no conversion to OpenVINO formats, with Docker-based deployment.

  • KServe

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

    KServe provides a Kubernetes-native serving layer for predictive and generative models across frameworks, but requires a Kubernetes cluster and the skills to run one.

  • vLLM

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

    vLLM serves language models with high throughput on Linux GPUs rather than OpenVINO-optimized models, and also uses the Apache-2.0 license.

  • LocalAI

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

    LocalAI serves language, image and speech models behind APIs compatible with common AI services on Linux or macOS, without the OpenVINO format requirement, under MIT.

  • Xinference

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

    Xinference serves language, speech and multimodal models behind one GPT-style API from a laptop up to servers, without requiring OpenVINO-converted models.

  • Sonar

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

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

Similar software

Related functionality, not a direct replacement.