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Update HUB SDK Docs (#13309)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md
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---
comments: true
description: Learn how to optimize Ultralytics YOLOv8 models with Intel OpenVINO for maximum performance. Discover expert techniques to minimize latency and maximize throughput for real-time object detection applications.
keywords: Ultralytics, YOLOv8, OpenVINO, optimization, latency, throughput, inference, object detection, deep learning, machine learning, guide, Intel
description: Discover how to enhance Ultralytics YOLO model performance using Intel's OpenVINO toolkit. Boost latency and throughput efficiently.
keywords: Ultralytics YOLO, OpenVINO optimization, deep learning, model inference, throughput optimization, latency optimization, AI deployment, Intel's OpenVINO, performance tuning
---
# Optimizing OpenVINO Inference for Ultralytics YOLO Models: A Comprehensive Guide