# OpenVINO

> Optimize and deploy AI inference

Intel's toolkit for fast inference on CPUs, GPUs and NPUs.

- Source: https://github.com/openvinotoolkit/openvino
- Homepage: https://docs.openvino.ai
- License: Apache-2.0
- Language: C++
- Stars: 10944
- Forks: 3421
- Contributors: 784
- Last commit: 2026-10-03
- Latest release: 2026.4.1 (2026-10-01)
- Purpose: AI & LLM tooling, Local inference
- Runs on: Library / SDK
- For: Enterprise

## Worth score: 80/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 20/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 14/15
- Readiness: 11/15

## Alternatives

- [RunAnywhere SDKs](https://diggithub.com/RunanywhereAI/runanywhere-sdks.md): Run AI locally on devices
- [ncnn](https://diggithub.com/Tencent/ncnn.md): Neural network inference for mobile
- [Unsloth](https://diggithub.com/unslothai/unsloth.md): Fast local fine-tuning and running of LLMs
- [vLLM](https://diggithub.com/vllm-project/vllm.md): High-throughput LLM serving engine
- [SGLang](https://diggithub.com/sgl-project/sglang.md): Fast serving framework for LLMs
- [AirLLM](https://diggithub.com/lyogavin/airllm.md): Run 70B models on a 4GB GPU
- [llama.cpp](https://diggithub.com/ggml-org/llama.cpp.md): LLM inference in C/C++ on CPUs and GPUs
- [BitNet](https://diggithub.com/microsoft/BitNet.md): Inference framework for 1-bit LLMs

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Source page: https://diggithub.com/openvinotoolkit/openvino
Updated: 2026-10-04