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OpenVINO

Intel's open-source toolkit for optimizing and deploying AI inference across hardware platforms

★ 10,445 GitHub Apache-2.0 inference-optimizationintelmodel-servingedge-aicross-platformmodel-quantization LLM & Chat

Überblick

OpenVINO (Open Visual Inference and Neural network Optimization) is Intel's open-source toolkit for optimizing and deploying AI inference across a wide range of hardware — CPUs, GPUs, NPUs, and FPGAs. With 10k+ GitHub stars, OpenVINO enables developers to convert, optimize, and run deep learning models from frameworks like TensorFlow, PyTorch, and ONNX with minimal performance loss. It supports model quantization, pruning, and hardware-aware optimizations for edge, cloud, and IoT deployments.

Anforderungen

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  openvino:
    image: openvino/ubuntu22_dev:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/openvino:/data

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Anleitungen & Artikel

Deploying OpenVINO with Docker for Cross-Platform AI Inference

Step-by-step guide to deploying Intel OpenVINO with Docker — using official images for development, GPU-accelerated inference, and production-ready model serving.

Jun 27, 2026

Getting Started with OpenVINO: Intel's AI Inference Optimization Toolkit

A comprehensive guide to Intel's OpenVINO toolkit — optimize and deploy AI inference across CPUs, GPUs, NPUs, and FPGAs with model quantization, pruning, and multi-framework support.

Jun 27, 2026