Using ONNX w/ Qualcomm powered devices from smartphones to the cloud edge and everything in between скачать в хорошем качестве

Using ONNX w/ Qualcomm powered devices from smartphones to the cloud edge and everything in between

Whenever our clients target high performant AI cloud inferencing servers, create new and exciting AI based experiences on mobile phones or improve our lives by adding more and more AI features into cars, many of them use ONNX models as an interchange format. Qualcomm helps to deploy and accelerate natural language processing, computer vision, classification, segmentation, and transformer based models in various verticals: Mobile, IoT, XR, Compute and Automotive. We created a link between ONNX and Qualcomm AI Engine direct that allows us to run the same model not only on various backends such as CPU, GPU, Hexagon processor or Low Power AI subsystem of the same SoC, and migrate it to run on range of the devices due to the portability that ONNX provides. In addition to the above, we would briefly cover in this session the work we are doing with Microsoft on collaboration for ONNX RT Execution Provider for a range of our AI accelerators. Felix Baum is responsible for AI software products at Qualcomm Technologies Inc. (QTI). Felix has spent 20+ years in the embedded industry, both as an embedded developer and as a product manager. He previously led QTI product management for Hexagon software, supporting DSPs with scalar, vector and tensor accelerators for camera, video, machine learning and audio verticals. Prior to that, he led marketing and product management efforts for various real-time operating system technologies. His career began at NASA’s Jet Propulsion Laboratory at the California Institute of Technology, designing flight software for various spacecrafts. Felix holds a Master’s degree in CS from the Cal State Northridge and an MBA from the UCLA.