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How AI Drives the Need for Next-Generation Infrastructure Architectures with Liqid | Utilizing AI: 2×17

We are on the cusp of a totally new architecture for enterprise IT, and this change toward composability is being driven by applications like AI. Instead of designing around fixed-configuration servers, disaggregation allows the use of pools of resources, and composability allows dynamic allocation of these resources as needed for different applications. When it comes to AI workloads, organizations can deploy a set of expensive GPUs and then allocate these as needed to various tasks, and redeploy these when that task (ML training, for example) is done. That’s what Liqid is delivering for their customers, and why we invited CEO and Co-Founder Sumit Puri and Chief AI Architect Josiah Clark to join Stephen Foskett and Chris Grundemann for this episode of Utilizing AI.

Three Questions

  1. Are there any jobs that will be completely eliminated by AI in the next five years?
  2. Can you think of any fields that have not yet been touched by AI?
  3. How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices?

Guests and Hosts

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About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

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