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Leonard Lee에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Leonard Lee 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.
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Vision 2024: The Intel AI Show (with Karl Freund)

32:15
 
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Manage episode 414162016 series 3556820
Leonard Lee에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Leonard Lee 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.

In this installment of the neXt Curve reThink Podcast Silicon Futures series, Leonard Lee of neXt Curve and Karl Freund of Cambrian-AI Research share their puts and takes from Intel's Vision 2024 event which took place in Phoenix, AZ.
The duo talk and debate about:

  • Introduction to Intel Vision 2024 (2:49)
  • Gaudi 3 - King of the Gen A accelerator hill? (2:55)
  • The power efficiency of Gaudi 3 as a GenAI inference differentiator (5:57)
  • The headwinds facing Gaudi 3 in keeping the energy efficiency crown (7:31)
  • The problem of chips-to-systems comparisons in Gen AI benchmarking (9:35)
  • Three flavors of Gaudi 3 for all edge AI scenarios (11:24)
  • Intel becomes a "software company" with Intel Tiber (13:31)
  • Where will Intel likely sell Gaudi 3? (14:23)
  • XEON 6 - Key to Intel's GenAI opportunity in the x86 brownfield? (16:24)
  • Intel Vision 2024 bright spot - 5 Nodes in Four Years execution (20:28)
  • The new systems game that is GenAI supercomputing (21:57)
  • Where is Intel's GenAI supercomputing champion? (23:52)
  • Data type is the unsung scaling factor for GenAI inference (25:24)
  • Our thoughts on Lunar Lake and its impact on the AI PC race (27:14)
  • It's a wrap! (29:49)

Remember to like, subscribe to the neXt Curve reThink YouTube channel. Also, follow neXt Curve by subscribing at www.next-curve.com.
Check out Cambrian-AI Research at www.cambrian-ai.com and get in touch with Karl Freund on LinkedIn. You can also read his research on Forbes where he has a column.
Also, remember to subscribe to the Silicon Futures playlist for insights into the semiconductor industry that matter.

  continue reading

46 에피소드

Artwork
icon공유
 
Manage episode 414162016 series 3556820
Leonard Lee에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Leonard Lee 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.

In this installment of the neXt Curve reThink Podcast Silicon Futures series, Leonard Lee of neXt Curve and Karl Freund of Cambrian-AI Research share their puts and takes from Intel's Vision 2024 event which took place in Phoenix, AZ.
The duo talk and debate about:

  • Introduction to Intel Vision 2024 (2:49)
  • Gaudi 3 - King of the Gen A accelerator hill? (2:55)
  • The power efficiency of Gaudi 3 as a GenAI inference differentiator (5:57)
  • The headwinds facing Gaudi 3 in keeping the energy efficiency crown (7:31)
  • The problem of chips-to-systems comparisons in Gen AI benchmarking (9:35)
  • Three flavors of Gaudi 3 for all edge AI scenarios (11:24)
  • Intel becomes a "software company" with Intel Tiber (13:31)
  • Where will Intel likely sell Gaudi 3? (14:23)
  • XEON 6 - Key to Intel's GenAI opportunity in the x86 brownfield? (16:24)
  • Intel Vision 2024 bright spot - 5 Nodes in Four Years execution (20:28)
  • The new systems game that is GenAI supercomputing (21:57)
  • Where is Intel's GenAI supercomputing champion? (23:52)
  • Data type is the unsung scaling factor for GenAI inference (25:24)
  • Our thoughts on Lunar Lake and its impact on the AI PC race (27:14)
  • It's a wrap! (29:49)

Remember to like, subscribe to the neXt Curve reThink YouTube channel. Also, follow neXt Curve by subscribing at www.next-curve.com.
Check out Cambrian-AI Research at www.cambrian-ai.com and get in touch with Karl Freund on LinkedIn. You can also read his research on Forbes where he has a column.
Also, remember to subscribe to the Silicon Futures playlist for insights into the semiconductor industry that matter.

  continue reading

46 에피소드

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