AI Infrastructure Silicon Valley - Executive Series | Shehram Jamal | NVIDIA

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Shehram Jamal

Chief Product Officer for Data & Models

Humain

play_circle_outline General-purpose computing vs. accelerated computing

play_circle_outline Heterogeneous architecture, parallel processing, efficiency of accelerated computing

play_circle_outline Use cases and impacts of accelerated computing on individuals

play_circle_outline Prerequisites for building enterprise AI systems

play_circle_outline Innovations in semiconductor area for energy efficiency in AI workloads

play_circle_outline Exploring the Impact of Kernel in AI and X-Ray Computing: Tips for Career Success and Staying Informed

play_circle_outline Maximizing Productivity with Soft Skills and Leveraging Interdisciplinary Connections in AI and Computing Applications

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Shehram Jamal | NVIDIA

Shehram Jamal

Chief Product Officer for Data & Models Humain

The discussion focuses on the shift to accelerated computing using GPUs or TPUs for specific tasks like machine learning. Benefits include performance improvements, energy efficiency, and cost savings achieved through heterogeneous architecture and parallel processing. AI applications require accelerated computing for faster data processing. This is evident in image recognition, self-driving cars, medical diagnostics, and virtual assistants. Training and inference are key components of AI systems, with inference expected to dominate. Private AI is growing as ... Read more

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What are the benefits and differences between traditional general-purpose computing and accelerated computing? add

What are the three main concepts of accelerated computing? add

What kind of impact can accelerated computing have on an average user? add

What are the prerequisites for building enterprise AI? add

What advancements are needed for energy efficiency in AI workloads? add

What are the five things for pursuing a career in AI and X-ray computing that were mentioned in the text? add

What are some examples of interdisciplinary connections between AI-insulated computing and other fields such as materials sciences, physics, biology, economics, and environmental sciences? add

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