Episode 73: A Potential Solution for AI’s Memory Crunch?

Episode 73: A Potential Solution for AI’s Memory Crunch?

From Research @ Citi by Citi

April 9, 2026 · 12 min

About this episode

Rob Rowe discusses the implications of TurboQuant, a new memory-compression technology, with Peter Lee.

Rob Rowe, Citi's U.S. Regional Director of Research, sits down with Head of Semiconductor and IT Hardware Analysis Peter Lee to explore the implications of TurboQuant, a new memory-compression technology that could eliminate bottlenecks in running AI large language models. As the two discuss, this innovation could have profound impacts on memory and storage demand. This podcast contains thematic content and is not intended to be investment research. Nor does it constitute financial, economic, legal, tax or accounting advice. This podcast is provided for information purposes only and does not constitute an offer or solicitation to purchase or sell any financial instruments. The contents of this podcast are not based on your individual circumstances and should not be relied upon as an assessment of suitability for you of a particular product, security, or transaction. The information in this podcast is based on generally available information and, although obtained from sources believed by Citi to be reliable, its accuracy and completeness are not guaranteed. Past performance is not a guarantee or indication of future results. This podcast may not be copied or distributed, in whole…

People in this episode

Host: Rob Rowe

Guest: Peter Lee

Topics covered

  • AI
  • memory-compression technology
  • semiconductors
  • large language models
  • technology innovation

Keywords

  • AI
  • memory
  • TurboQuant
  • semiconductors
  • technology
  • large language models
  • storage demand

Mentioned in this episode

Organizations: Citi, Citigroup Global Markets Inc.

Products: TurboQuant

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