Accelerate model deployment with

on YouTube ↗41m

" summary

Shows how to use Qualcomm AI Hub to optimize and deploy machine learning models onto Snapdragon X-Elite hardware. Covers an introduction to the Qualcomm AI Hub plus step‑by‑step examples of model optimization and the deployment workflow so developers and ML engineers can streamline bringing AI apps to devices.

AI-written summary · about

" chapters (7)

1. 0:00Introduction to AI Hub
2. 2:46AI Hub features & platforms
3. 7:18ONNX Runtime workflow
4. 14:48Demonstration of AI Hub
5. 20:02Real world case study
6. 27:11Key takeaways & resources
7. 28:37Q&A session

" related talks

• 14mAccelerating On-Device AI DevelopmentSiddhika Nevrekar · droidcon New York 2024
• 37mHow to Optimize, Validate and Deploy ML Models On DeviceAshvin Kumar, Meghan Stronach · droidcon Berlin 2025
• 26mHow to use Qualcomm AI HubShreya Jain, Meghan Stronach · droidcon New York 2024
• 08mUnlocking AI at Scale for PyTorch DevelopersJeff Gehlhaar · PyTorch Conference 2025
• 29mQualcomm® AI Stack for developers and extension to on-device AIAmber Branwell, Jackie Donoghue, Fred Balsiger, Vinesh Sukumar · Microsoft Build 2023
• 32mDeploy AI with SimulinkChristoph Stockhammer, Rajan Bharatkumar Mistry · droidcon Berlin 2025
• 54mHarnessing On-Device AI to Transform the Smartphone ExperienceVidyasagar Rao · TWIMLcon: AI Platforms 2021
• 01h 01mHow to Optimize, Validate and Deploy ML Models on DeviceMeghan Stronach, Bhushan Sonawane · droidcon London 2024