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The Infrastructure Revolution for AI Factories w/ David Flynn
Manage episode 503185032 series 3375926
In this episode of Data Unchained,we sit down with David Flynn, Founder and CEO of Hammerspace, to explore how next-generation infrastructure is transforming the future of AI factories, hyperscaler data centers, and enterprise-scale AI deployments. From exabyte-in-a-rack architectures to parallel file systems native in Linux, this conversation reveals how organizations can drastically lower CapEx, OpEx, and power consumption while unlocking unprecedented performance density.
Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic
Music promoted by https://www.free-stock-music.com
Creative Commons Attribution 3.0 Unported License
https://creativecommons.org/licenses/by/3.0/deed.en_US
#AIInfrastructure #Hyperscalers #DataEngineering #EnterpriseAI #SoftwareArchitecture #ExabyteStorage #ParallelFileSystems #LinuxNative #DataCenters #AIatScale #OpenPlatformInitiative #globaldata
Hosted on Acast. See acast.com/privacy for more information.
95 episodes
Manage episode 503185032 series 3375926
In this episode of Data Unchained,we sit down with David Flynn, Founder and CEO of Hammerspace, to explore how next-generation infrastructure is transforming the future of AI factories, hyperscaler data centers, and enterprise-scale AI deployments. From exabyte-in-a-rack architectures to parallel file systems native in Linux, this conversation reveals how organizations can drastically lower CapEx, OpEx, and power consumption while unlocking unprecedented performance density.
Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic
Music promoted by https://www.free-stock-music.com
Creative Commons Attribution 3.0 Unported License
https://creativecommons.org/licenses/by/3.0/deed.en_US
#AIInfrastructure #Hyperscalers #DataEngineering #EnterpriseAI #SoftwareArchitecture #ExabyteStorage #ParallelFileSystems #LinuxNative #DataCenters #AIatScale #OpenPlatformInitiative #globaldata
Hosted on Acast. See acast.com/privacy for more information.
95 episodes
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