# @nvidia on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=h4Q-oqO6bQU
- **Gondola URL:** https://gondola.cc/posts/8673613-nvidia-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/thumbnails/f5ae3cd342.jpg
- **Posted:** 2023-09-19T15:55:17.000+00:00
- **Account Owner:** NVIDIA (@nvidia) — https://gondola.cc/nvidia

## Caption

Check out HALP (Hardware-Aware Latency Pruning), a new method designed to adapt convolutional neural networks (CNNs) and #transformer-based architectures for real-time performance. HALP optimizes pre-trained models to maximize compute utilization. In testing with NVIDIA DRIVE Orin™ on the road, it consistently outperformed alternative approaches.

00:00:00 - Introducing Hardware-Aware Latency Pruning (HALP)
00:00:29 - Common Model Optimization
00:00:59 - DNN Pruning
00:01:21 - Hardware Aware Latency Pruning
00:01:31 - Classification Tasks
00:01:37 - 3D Object Detection
00:02:04 - HALP with Transformers
00:03:09 - To learn more, visit our GitHub and project pages

GitHub: https://nvda.ws/3rlM7mo
Product page: https://nvda.ws/46961je 
Watch the full series here: https://nvda.ws/3LsSgnH
Learn more about DRIVE Labs: https://nvda.ws/36r5c6t

Follow us on social: 
Twitter: https://nvda.ws/3LRdkSs 
LinkedIn: https://nvda.ws/3wI4kue 
#NVIDIADRIVE

## Stats

- **Views:** 5,963
- **Likes:** 152
- **Shares:** 0
- **Comments:** 0

## Tags

transformer, nvidiadrive

---
Copyright (c) Gondola