Embedded Vision

Streamlining Development of Edge AI Applications

Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process.
Dec. 1, 2021

Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.

Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.

NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.

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