The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
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The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
Serial Attached SCSI (SAS) Paving the Future for Modern Data Centers
SNIA Experts on Data
26 minutes
8 months ago
Serial Attached SCSI (SAS) Paving the Future for Modern Data Centers
This episode highlights ongoing SCSI and SAS technology innovations, demonstrating their essential roles in modern data management and infrastructure. As hyperscalers push for performance and capacity, legacy systems are evolving to meet needs while addressing sustainability, efficiency, and security challenges. Join Rick Kutcipal, Board Member of the SNIA STA (SCSI Trade Association) Community, as he discusses: • The roles of SNIA STA Community and the INCITS/SCSI standards organization&nbs...
SNIA Experts on Data
The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
