Paper Title: New Memory Architectures for AI

Paper Abstract: As Artificial Intelligence is becoming more pervasive, the global spending on AI systems is forecasted to double over the next four years, from $50.1 billion in 2021 to more than $110 billion in 2024. The fundamental challenge lies with the sheer amount of compute power needed to build and train many of the more advanced AI models that are being developed. This session will hear from industry experts and innovators on the challenges of AI workloads and the evolving compute architectures needed as the platform to support AI and ML innovations.

Paper Author: Steve Pawlowski, CVP, Advanced Memory Systems, Micron Technology

Author Bio: Steve Pawlowski is advanced computing solutions vice president at Micron Technology. He is responsible for defining and developing innovative memory solutions for the enterprise and high-performance computing markets. Prior to joining Micron in July 2014, Steve was a senior fellow and the chief technology officer for Intel’s Data Center and Connected Systems Group. His extensive industry experience includes 31 years at Intel, where he held several high-level positions and led teams in the design and development of next-generation system architectures and computing platforms. Pawlowski earned bachelor’s degrees in EE and computer systems engineering technology from the Oregon Institute of Technology, and a masters degree in CS and engineering from the Oregon Graduate Institute. He also holds 58 patents.