Free NVIDIA products designed to make your AI App efficient
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NVIDIA's end-to-end AI workflow
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TAO toolkit
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high performance pre-trained vision AI models
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Enabling beyond pre-trained AI models
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Achieving state of the art accuracy for public datasets
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NVIDIA TensorRT
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TensorRT workflow
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Triton inference server
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DeepStream SDK
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DeepStream application architecture
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Pipelin efficiency with zero memory copies
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NVIDIA graph composer
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DeepStream video demo
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Summary
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Developer resources
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Outro
Description:
Explore best practices for real-time intelligent video analytics in this comprehensive conference talk from GOTO Copenhagen 2021. Dive into the challenges of implementing Vision AI networks and learn NVIDIA's approach to achieving real-time inference performance. Discover techniques such as transfer learning, data augmentation, automatic mixed precision, quantization, and network pruning. Gain insights into NVIDIA's end-to-end AI workflow, including the TAO toolkit, TensorRT, Triton Inference Server, and DeepStream SDK. Learn how to optimize AI models for various hardware platforms and maximize GPU utilization. The presentation covers practical tips, free NVIDIA products, and demonstrates real-world applications through a video demo. Ideal for data scientists, AI developers, and anyone interested in cutting-edge video analytics technology.
Best Practices for Real-time Intelligent Video Analytics