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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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Glenn Jocher 2024-06-02 21:39:34 +02:00 • committed by GitHub
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docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md
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---
comments: true
description: Explore how to achieve exceptional AI performance with DeepSparse's incredible inference speed. Discover how to deploy YOLOv5, and learn about model sparsification and fine-tuning with SparseML.
keywords: YOLOv5, DeepSparse, Ultralytics, Neural Magic, sparsification, inference runtime, deep learning, deployment, model fine-tuning, SparseML, AI performance, GPU-class performance
description: Learn how to deploy YOLOv5 using Neural Magic's DeepSparse for GPU-class performance on CPUs. Discover easy integration, flexible deployments, and more.
keywords: YOLOv5, DeepSparse, Neural Magic, YOLO deployment, Sparse inference, Deep learning, Model sparsity, CPU optimization, No hardware accelerators, AI deployment
---
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