Memory Systems for AI and Leading-Edge Applications
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Thanks to rapid advancements in computing, neural networks are fueling tremendous growth in AI for a broad spectrum of applications. Learn about the memory architectures, and their relative advantages, at the heart of the AI revolution.
This webinar will answer the following questions:
- What are the hardware-level bottlenecks to AI performance?
- How do you analyze whether applications are limited by processor or memory performance?
- What memory solutions are available to AI system architects?
- What are the merits and limitations of the various memory choices?
Steven Woo; Fellow and Distinguished Inventor, Rambus
Steven Woo is a Fellow and Distinguished Inventor at Rambus Inc. Since joining Rambus, Steve has worked in various roles leading architecture, technology, and performance analysis efforts, and in marketing and product planning roles leading strategy and customer programs. Steve has over 30 patents in the areas of memory, memory systems, and neural networks. Steve received his PhD and MS degrees in Electrical Engineering from Stanford University, and Master of Engineering and BS Engineering degrees from Harvey Mudd College.