Home › Model Serving › OpenVINO

OpenVINO - AI Model Serving Tool

Overview

OpenVINO is an open-source toolkit for optimizing and deploying AI inference across various platforms. It supports models trained with popular frameworks and improves inference performance for computer vision, automatic speech recognition, and natural language processing tasks.

Key Features

  • Open-source toolkit for optimizing and deploying AI inference
  • Supports models trained with popular deep learning frameworks
  • Improves inference performance for computer vision, ASR, and NLP
  • Targets deployment across a variety of hardware platforms
  • Includes tools and utilities for model optimization and deployment workflows

Ideal Use Cases

  • Accelerating computer vision inference in production applications
  • Deploying on-device automatic speech recognition models
  • Optimizing and serving natural language processing models
  • Converting trained models for cross-platform deployment

Getting Started

  • Clone the repository from https://github.com/openvinotoolkit/openvino
  • Review repository documentation and examples
  • Prepare a trained model compatible with the toolkit
  • Optimize the model for inference using the toolkit's tools
  • Deploy the optimized model to your target hardware platform

Pricing

Open-source toolkit; no pricing information disclosed.

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
Visit Official Website

Related Tools

Replicate

A platform that allows users to run, host, and share AI models via an API, supporting a variety of generative tasks.
Hugging Face

A robust AI platform where the machine learning community collaborates on models, datasets, and applications.
Hugging Face Spaces

A platform for hosting machine learning demo apps with support for GPU acceleration, Docker, and custom Python environments.
HUGS

Optimized, zero‐configuration inference microservices from Hugging Face designed to simplify and accelerate the deployment of open AI models via an OpenAI‐compatible API.
Hugging Face Hub

The official Python client for the Hugging Face Hub, allowing users to interact with pre-trained models and datasets, manage repositories, and run inference on deployed models.
Inference Endpoints by Hugging Face

A fully managed inference deployment service that allows users to easily deploy models (such as Transformers and Diffusers) from the Hugging Face Hub on secure, compliant, and scalable infrastructure. It offers pay-as-you-go pricing and supports a variety of tasks including text generation, speech recognition, image generation, and more.