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Embedded Executive Podcast
Embedded Executive: AI Effects All Subsystems Including Memory, with Micron
May 1, 2024
Mark Montierth, Corporate VP of Micron's Memory Business, discusses the critical role of memory in AI projects, the impact of memory demands on AI models, and the relationship between AI and memory subsystems. The podcast explores Micron's advancements in memory supply for mobile devices and the need for efficiency improvements in edge devices.
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Quick takeaways
- Memory subsystems are now crucial for AI performance due to the shift towards massive models and billions of parameters.
- Micron is focusing on delivering industry-leading memory products for mobile devices to meet the demands of AI workloads.
Deep dives
The Impact of Memory on AI Workloads
In the podcast, Mark Montyr discusses how memory and storage play a crucial role in the latest trends in the mobile industry, particularly in the realm of generative AI at the edge. Traditionally, workloads focused more on compute performance rather than memory usage. However, the advent of AI with massive models and billions of parameters has shifted the landscape, making memory bandwidth and capacity crucial for performance. Increasing memory capacity and bandwidth directly improve model responsiveness and quality.
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Discover
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