Date: Tuesday, May 17 (Main Conference Day 1)
Start Time: 2:05 pm
End Time: 2:35 pm
Whether you’re using TensorFlow, PyTorch or another framework, we’ll show you optimization techniques to enhance performance on your existing hardware. With the OpenVINO Toolkit, built on the foundation of OneAPI, developers can utilize their own AI model or leverage one of the hundreds of pre-trained models available across vision and audio use cases. Learn how the Neural Network Compression Framework provides optimal model training templates for performance boosts while preserving accuracy, and how the Model Optimizer reduces complexity and makes model conversion faster. Other areas we’ll explore include auto device discovery to enable automatic load balancing and how to optimize for latency or throughput based on your workload.