Podcast – Ethernet for AI applications with J Metz
Connectivity is the critical component that brings data to and from the storage devices to the accelerators, mostly GPUs. Large workloads require significant GPUs to work together to build models.…
Connectivity is the critical component that brings data to and from the storage devices to the accelerators, mostly GPUs. Large workloads require significant GPUs to work together to build models.…
AI can be used to assist with content creation in many ways, from summarizing and organizing data to generating images. However, the content usually is not ready for prime time…
Storage is becoming more and more critical in AI as the industry matures and workloads diversify. Data profiles can change, and you need to be able to adapt quickly to…
The orchestration of data in pipelines is essential to the success of an AI project. Due to a lack of efficient data management processes, many AI projects fail to make…
We had MLCommons on the podcast a while ago, and it was time for an update on what is new with MLCommons. It was great to have David Kanter, the…