Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge | NXP Semiconductors

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Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge

Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge

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About This Training

In this webinar, Markus Levy and Rick Bye examine machine learning as a part of edge computing, and look at the cost and performance tradeoffs between MCUs and complex SoCs, using Vision, Voice, and Vibration as examples.

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期間

1 hr

言語

英語

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Computing at the Edge | When, Why and How?

Part 1: When, Why and How?

Day 1 | Computing at the Edge

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Part 2: Flexible Options for Inference Implementation at the Edge

Part 2: Flexible Options for Inference Implementation at the Edge

Day 2 | Computing at the Edge

Download Presentation [English]

Computing at the Edge | Edge Computing Solutions with Layerscape and EdgeScale

Part 3: Edge Computing Solutions with Layerscape and EdgeScale

Day 3 | Computing at the Edge

Learn More