The latest articles on DEV Community by Aditya Sharma (@aditya2406). https://dev.to/aditya2406 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1265306%2Febef64cc-9c23-45db-8c04-ff125944595c.jpeg https://dev.to/aditya2406 en Aditya Sharma Wed, 24 Jan 2024 22:36:39 +0000 https://dev.to/aditya2406/how-to-build-efficient-pipelining-for-real-time-video-streams-with-gpu-constraints-4495 https://dev.to/aditya2406/how-to-build-efficient-pipelining-for-real-time-video-streams-with-gpu-constraints-4495 <p>I'm currently working on developing a pipelining module for multiple video streams, aiming to achieve optimal GPU utilization while implementing Computer Vision models in real-time. My primary concern revolves around whether I need to load the model separately for each stream or if there exists a more efficient approach for applying Deep Learning models to the streams, considering my GPU constraints and the necessity for real-time processing.</p> <p>Any insights or suggestions on an effective strategy for handling this scenario would be greatly appreciated.</p>