Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Memory and Storage Needs for a GPU-centric Cloud Datacenter

CloudFest via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the critical memory and storage requirements for GPU-centric cloud datacenters in this 23-minute conference talk from CloudFest 2025. Learn how the AI revolution is driving unprecedented advancements in CPU, GPU, and storage/memory technologies, creating more powerful server platforms capable of handling complex AI workloads. Discover why data storage, manipulation, and analysis have become crucial components for AI training and inference models, requiring rapid technological evolution in memory and storage solutions. Understand the essential requirements of higher performance, increased capacity, and lower latency needed to support faster AI models and complex computational workloads. Examine the latest trends in memory and storage technology, including innovative SSD form factors like E3.S that optimize datacenter efficiency. Investigate the industry trend toward dramatically higher SSD capacities exceeding 60TB and explore cutting-edge innovations such as MRDIMMs operating at impressive speeds of 8,800MHz. Gain insights from Esther Spanjer, Director of Enterprise Business Development EMEA at Micron Technology, as she presents the technological developments shaping the future of cloud infrastructure and datacenter architecture optimized for AI applications.

Syllabus

Memory and Storage Needs for a GPU-centric Cloud Datacenter - Micron at CloudFest 2025

Taught by

CloudFest

Reviews

Start your review of Memory and Storage Needs for a GPU-centric Cloud Datacenter

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.