Master Edge AI Inferencing: A Practical Guide to Actionable Insights
In an upcoming online session, Innodisk will explore the topic of inferencing on the edge, and how best to use artificial intelligence in order to gain actionable insight from this practice.
For those unfamiliar, Innodisk is a leading designer and manufacturer of Industrial Embedded Flash and DRAM Storage products, with an emphasis on the Enterprise, Server, Industrial, Military, Networking, and Gaming Markets.
From the class’s description:
Data mining is the new gold rush to the digital world, an extensive amount of data is flowing between our devices. While we have the immense computing power of our servers, the rise of personal computing with capable silicon can process the data collected on edge. With technology like AI accelerators, it holds the key to understanding the data on premise without delay.
During this session, attendees can expect to learn:
- Training vs. inferencing.
- The application of inferencing: Provide actionable intelligence
- What advantages we get by inferencing on the edge
- How to get started my system level design. (OpenVINO/Tensorflow/Caffe/AI accelerator).
About the speaker:
James Shih
Engineer, Innodisk
James Shih is a leading Innodisk engineer with more than 20 years dedicated to the industrial computing sector. Tapped into the industrial computing landscape for decades, James has unrivaled knowledge and a unique perspective on the technological landscape and current trends across segments such as CPUs and GPUs, motherboards, flash storage, DRAM, and circuit designs. If you want to understand industrial computing, James is your guy.
Register for the webinar now: Get Started with AI Inferencing at the Edge
Can’t make the webinar, or are you reading this after August 6? Just click on the link above to watch it on demand.
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