# OpenVINO

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Repository: https://github.com/openvinotoolkit/openvino
Canonical: https://ross.abutalabs.com/products/openvino
Homepage: https://docs.openvino.ai
Language: C++
License: Apache-2.0
License Family: permissive
Topics: inference, deep-learning, openvino, ai, computer-vision, diffusion-models, generative-ai, llm-inference, natural-language-processing, nlp, performance-boost, speech-recognition, stable-diffusion, deploy-ai, optimize-ai, transformers, yolo, recommendation-system, good-first-issue
Last push: 2026-08-26T23:58:15+00:00
Link (homepage): https://docs.openvino.ai
Link (site_page): https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-genai.html
Link (site_page): https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-linux.html
Link (site_page): https://docs.openvino.ai/install
Link (site_page): https://docs.openvino.ai/2026/about-openvino/performance-benchmarks.html

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2879, "days_push": 7, "days_rel": 7, "gap_med": 48, "n_releases_24m": 16}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10740, forks 3335 (observed 2026-08-28T04:10:43.960038+00:00)

## What it is
OpenVINO is an open-source toolkit from Intel for optimizing and deploying deep learning inference across CPU, GPU, and NPU hardware. It supports models from PyTorch, TensorFlow, ONNX, and Hugging Face, targeting computer vision, LLMs, speech, and generative AI workloads from edge to cloud.

## Use cases
- run deep learning inference faster on intel cpu and gpu
- deploy llm inference on intel npu
- convert pytorch or onnx models to an optimized runtime
- run stable diffusion locally with better performance
- deploy computer vision models at the edge
- optimize transformer models for inference
- run speech recognition models with low latency

## When to choose
- you deploy inference on Intel CPUs, integrated/discrete GPUs, or NPUs
- you need a framework-agnostic runtime for PyTorch, TensorFlow, or ONNX models
- you target edge devices with limited resources
- you want optimized LLM or Stable Diffusion inference without a GPU cluster

## When to avoid
- you need NVIDIA CUDA-specific optimizations or TensorRT integration
- your workload is training rather than inference
- you only target non-Intel hardware where other runtimes may perform better

## Facets
- artifact type: library
- maturity: stable
- function: machine-learning, deep-learning, llm-inference, computer-vision, speech-recognition, nlp, stable-diffusion, transformers, gpu-computing, sdk
- domain: deep-learning, machine-learning, computer-vision, artificial-intelligence, gpu-computing, developer-tools
- platform: windows, python, cpp, cross-platform, embedded, iot
- tags: inference-optimization, intel-hardware, npu, model-conversion, onnx, pytorch, tensorflow, edge-ai, generative-ai, runtime, natural-language-processing, linux, macos, gpu, nodejs

## Member repositories
- openvinotoolkit/openvino (main) score 95
- openvinotoolkit/openvino_notebooks (examples) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:43.960038+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:17:55.469490+00:00, confidence not recorded.
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  - homepage: https://docs.openvino.ai (fetched 2026-08-29T08:17:09.785614+00:00, sha ae8727519138)
  - site_page: https://docs.openvino.ai/2026/get-started/install-openvino.html (fetched 2026-08-29T08:17:09.798883+00:00, sha b0d5fdd800ef)
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  - site_page: https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-linux.html (fetched 2026-08-29T08:17:09.802029+00:00, sha f7e0d4a7caa3)
  - site_page: https://docs.openvino.ai/install (fetched 2026-08-29T08:17:09.794970+00:00, sha fa33af18288c)
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  - site_page: https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-archive-linux.html (fetched 2026-08-29T08:17:09.803496+00:00, sha 228d14d1aee6)
  - site_page: https://docs.openvino.ai/2026/get-started/install-openvino/install-openvino-pip.html (fetched 2026-08-29T08:17:09.804927+00:00, sha 0237a9fdde8b)
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- Data as of 2026-08-30T08:39:29.467469+00:00.