OpenVINO

7.1easy start · #8 of 36
in Deep Learning Software

Runs on Linux, Mac, Web, Windows.

OpenVINO is ranked #8 of 36 in deep learning software on The Geeks Club. It runs on Linux, macOS, Web, Windows. There is a free plan.

OpenVINO plans and pricing

OpenVINO toolkit Free Open source toolkit · Free download intel.com · 7 Oct 2026

Free plan: Yes
Training mode: local
Deployment targets: multiple
GPU acceleration: Yes
Supported languages: Python, C, C++, JavaScript
Model formats: OpenVINO IR, PyTorch, TensorFlow, TensorFlow Lite, ONNX, PaddlePaddle

Lightning AI Studios 0 of 4 in the starter kit Lesson 17.6 NVIDIA Triton Inference Server 0 of 4 in the starter kit Lesson 27.5 ONNX Runtime 0 of 4 in the starter kit Lesson 37.5 Amazon SageMaker Autopilot 0 of 4 in the starter kit Lesson 47.4 Paperspace Gradient 0 of 4 in the starter kit Lesson 57.4 Apache TVM 0 of 4 in the starter kit Lesson 67.3

Purpose: OpenVINO is an open-source toolkit that accelerates AI inference while reducing model footprint and optimizing hardware use.
Use cases: The toolkit supports deep learning work in computer vision, large language models, and generative AI.
Deployment: The maker says models can be deployed across Intel hardware on-premises, on-device, in a browser, or in the cloud.
Frameworks: OpenVINO supports models from PyTorch, TensorFlow, TensorFlow Lite, PaddlePaddle, and ONNX.
APIs: OpenVINO offers C++, Python, C, and NodeJS APIs; its documentation describes the NodeJS API as early and actively developed.
Optimization: NNCF provides training-time and post-training model compression methods including pruning, sparsity, quantization, and weight compression.
Serving integrations: OpenVINO supports remote serving through OpenVINO Model Server and is also integrated with vLLM and Triton services.
Security: OpenVINO does not provide model encryption, decryption, or authentication; its security guidance describes using third-party tools for those protections.
Support: The maker lists an Intel community forum, Intel Support, GitHub issues, and Stack Overflow as help channels.
Platform limit: The download page lists Windows, macOS, and Linux packages; the listed macOS package is for macOS 12.6 and later.
Price from: Free

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