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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

Overview

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.

Requirements

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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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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