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AI-driven change is within the air, as are issues in regards to the know-how’s environmental impression. On this episode of NVIDIA’s AI Podcast, Daniel Castro, vice chairman of the Info Expertise and Innovation Basis and director of its Middle for Knowledge Innovation, speaks with host Noah Kravitz in regards to the motivation behind his AI energy use report, which addresses misconceptions in regards to the know-how’s vitality consumption. Castro additionally touches on the necessity for insurance policies and frameworks that encourage the event of energy-efficient know-how. Tune in to find the essential function of GPU acceleration in enhancing sustainability and the way AI will help handle local weather change challenges.
Register for NVIDIA GTC, a world AI developer convention working March 18-21 in San Jose, Calif., to discover classes on energy-efficient computing and using AI to combat climate change.
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Present Notes
1:41: Context on and findings from the AI vitality use report
10:36: How GPU acceleration has reworked the vitality effectivity of AI, significantly in climate and local weather forecasting
12:31: Examples of how GPU acceleration has improved the vitality effectivity of AI operations
15:51: Castro’s insights on sustainability and AI
20:01: Insurance policies and frameworks to encourage energy-efficient AI
26:43: Castro’s outlook on the interaction amongst advancing AI know-how, vitality sustainability and local weather change
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