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Beyond TOPS: A Holistic Framework for Edge AI Metrics

12:14
 
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Manage episode 506700427 series 3574631
EDGE AI FOUNDATION에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 EDGE AI FOUNDATION 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Beyond raw computational power lies the true measure of AI system effectiveness. Austin Lyons, founder of ChipStrat and analyst at Creative Strategies, challenges us to rethink how we evaluate Edge AI technologies in this thought-provoking talk on metrics that truly matter.
For too long, the industry has obsessed over Trillion Operations Per Second (TOPs) as the gold standard measurement. Lyons expertly deconstructs this limited view, introducing us to a more nuanced framework that considers what users actually experience. As generative AI moves to edge devices, shouldn't we care more about tokens per second—how quickly systems respond to our prompts—than abstract computational capabilities?
But speed alone doesn't tell the whole story. What happens when your lightning-fast AI assistant drains your battery in an hour? Lyons presents "tokens per second per watt" as a crucial metric for practical, everyday AI use. He also introduces the concept of "vibes"—those harder-to-quantify qualities like perceived intelligence and personality that make or break user adoption, drawing a compelling parallel to why people choose Apple products despite comparable technical specs from competitors.
The most valuable insight comes from Lyons' call for cross-functional collaboration in AI system design. When hardware engineers, software developers, designers, and product managers work in isolation, optimizing for their preferred metrics, the end result often disappoints users. By approaching AI development holistically, teams can make informed trade-offs that deliver better overall experiences—sometimes with less powerful but more efficient models.
Ready to transform how you think about AI performance? Subscribe to Austin's newsletter at chipstrat.com where he regularly shares insights on the evolving intersection of semiconductors, AI, and product strategy.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

챕터

1. Introduction and Background (00:00:00)

2. Thinking in Tokens vs TOPs (00:02:12)

3. Tokens Per Second and User Experience (00:05:17)

4. Beyond Speed: Vibes and Battery Life (00:06:37)

5. Making Holistic Decisions About AI Systems (00:09:21)

6. Call to Action and Conclusion (00:11:37)

61 에피소드

Artwork
icon공유
 
Manage episode 506700427 series 3574631
EDGE AI FOUNDATION에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 EDGE AI FOUNDATION 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Beyond raw computational power lies the true measure of AI system effectiveness. Austin Lyons, founder of ChipStrat and analyst at Creative Strategies, challenges us to rethink how we evaluate Edge AI technologies in this thought-provoking talk on metrics that truly matter.
For too long, the industry has obsessed over Trillion Operations Per Second (TOPs) as the gold standard measurement. Lyons expertly deconstructs this limited view, introducing us to a more nuanced framework that considers what users actually experience. As generative AI moves to edge devices, shouldn't we care more about tokens per second—how quickly systems respond to our prompts—than abstract computational capabilities?
But speed alone doesn't tell the whole story. What happens when your lightning-fast AI assistant drains your battery in an hour? Lyons presents "tokens per second per watt" as a crucial metric for practical, everyday AI use. He also introduces the concept of "vibes"—those harder-to-quantify qualities like perceived intelligence and personality that make or break user adoption, drawing a compelling parallel to why people choose Apple products despite comparable technical specs from competitors.
The most valuable insight comes from Lyons' call for cross-functional collaboration in AI system design. When hardware engineers, software developers, designers, and product managers work in isolation, optimizing for their preferred metrics, the end result often disappoints users. By approaching AI development holistically, teams can make informed trade-offs that deliver better overall experiences—sometimes with less powerful but more efficient models.
Ready to transform how you think about AI performance? Subscribe to Austin's newsletter at chipstrat.com where he regularly shares insights on the evolving intersection of semiconductors, AI, and product strategy.

Send us a text

Support the show

Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org

  continue reading

챕터

1. Introduction and Background (00:00:00)

2. Thinking in Tokens vs TOPs (00:02:12)

3. Tokens Per Second and User Experience (00:05:17)

4. Beyond Speed: Vibes and Battery Life (00:06:37)

5. Making Holistic Decisions About AI Systems (00:09:21)

6. Call to Action and Conclusion (00:11:37)

61 에피소드

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