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Podcast

Enabling AI Applications through Datacenter Connectivity with Nvidia

AI applications typically require massive volumes of data and multiple devices within the datacenter

AI applications typically require massive volumes of data and multiple devices within the datacenter. Nvidia acquired Mellanox to bring them industry-leading networking products to enable next-generation applications, including artificial intelligence. Kevin Deierling joins Chris Grundemann and Stephen Foskett to discuss the Nvidia vision for a datacenter-wide compute unit with integrated networking to bring all of these components together. This represents a continuous evolution of computing, from supercomputers to HPC to big data to AI, all of which have required more compute, memory, and storage resources than any one device and require the connectivity to bring it all together.

Three Questions

  • How long will it take for a conversational AI to pass the Turing test and fool an average person?
  • When will we have video-focused ML in the home that operates like the audio-based AI assistants like Siri or Alexa?
  • Are there any jobs that will be completely eliminated by AI in the next five years?

Guests and Hosts

Kevin Deierling, SVP Nvidia Networking. Connect with Kevin on LinkedIn or find him on Twitter at @TechseerKD.

Chris Grundemann, Chris Grundemann, a Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.

Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.