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...
Webinar Preview - Everything You Want to Know About RDMA But Were Too Proud to Ask
SNIA Experts on Data
13 minutes
7 months ago
Webinar Preview - Everything You Want to Know About RDMA But Were Too Proud to Ask
Our SNIA Experts on Data are here to explain the basics of RDMA and discuss why now is the right time for an “Everything You Want to Know About RDMA but were too proud to ask” webinar. Our expert panel, featuring Michal Kalderon, a Distinguished Engineer from Marvell and Rohan Mehta, a Senior Software Engineer from Microsoft have over a decade of experience developing RDMA solutions, they are joined by Erik Smith, Chair of SNIA Data, Storage & Networking Community and a Distinguishe...
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...
