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Image · Computer vision
YOLOv8 with OpenVINO (Ultralytics, 2025)
OrganicOperational
last checked 46 days ago
Ultralytics
A toolkit for exporting YOLOv8/YOLO26 computer vision models to Intel OpenVINO format, enabling up to 3x CPU speedup and acceleration on Intel integrated/discrete GPUs and NPUs. Supports object detection, segmentation, classification, pose estimation, and other vision tasks with quantization options and deployment across Intel hardware.
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Pricing
Model: Freemium
AGPL-3.0 license available for students, enthusiasts, and non-commercial use; requires contacting Ultralytics for commercial/enterprise license
- AGPL-3.0 Open Source · Free · FreeFree for educational and non-commercial use
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Change log
2026-08-28
integrations
2026-08-28
Description
2026-08-28
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open source
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Skill level
2026-08-28
target audience
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industries
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use cases
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hardware requirements
2026-08-28
offline capable
2026-08-28
model choice
2026-08-28
supported file types
Platforms
- Web
- Desktop
- Mobile
- API
Listed skill level: Intermediate
Compatibility
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Offline capable: Yes — listed as offline capable
Operating systems
- Linux · Officially supported
- macOS · Officially supported
- Windows · Officially supported
Requires Intel processor with OpenVINO support. Optional NPU support on Intel Core Ultra series (2xxV and 3xx series and above). Compatible with Intel CPUs, integrated/discrete GPUs, and NPUs. Requires appropriate drivers for GPU/NPU acceleration.
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