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Jon Krohn

Mixture-of-Experts and State-Space Models on Edge Devices, with Tyler Cox and Shirish Gupta

Added on November 11, 2025 by Jon Krohn.

Mixture-of-experts models? State-space models? Easily running these cutting-edge LLM approaches on any device? In today's episode, deep experts Shirish and Tyler masterfully reveal all.

Shirish Gupta:

  • Returns to my podcast for the third time this year!

  • Director of A.I. Product Management at Dell Technologies, where he's been for over 20 years!

  • Holds a Master's in Engineering from the University of Maryland.

Tyler Cox:

  • Distinguished Engineer at Dell in the Client Solutions Group CTO.

  • Leads on-device A.I. innovation programs across a wide range of products, including A.I. PCs, workstations, and edge computing platforms.

  • Holds a Master's in Software Engineering from The University of Texas at Austin.

Today's episode will be particularly appealing to hands-on practitioners (e.g., data scientists, AI/ML engineers, software developers) as well as anyone who could benefit from considering shifting A.I. workloads from the cloud to local devices.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

In Data Science, Interview, Podcast, SuperDataScience, YouTube Tags superdatascience, ai, AIPC, mamba, LLM, LLMs, StateSpaceModel
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