The Role of Storage in Generative AI
GPUs play an important role in generative AI by accelerating the training of models, reports Adam Armstrong. And, "GPUs use power like there's no tomorrow," says Khalid Eidoo in this TechTarget article.
“When working with millions of images, the GPU buffer quickly fills up and images need to be written quickly to storage,” says Eidoo, and “high-throughput storage can reduce the potential for a data bottleneck.” This article explains more about performance and storage requirements for generative AI.
Read more at TechTarget.
Related content
- GDPR Compliance Tips for Cloud Storage
-
Storage pools and storage spaces in Windows
Storage spaces and storage pools combine a variety of storage technologies into a single logical unit, ensuring high availability and a choice of resiliency capability. -
Storage Spaces Direct with different storage media
In Windows Server 2016, software-defined storage lets you combine several volumes to create a central storage pool; then, you can use a combination of HDD, SSD, and NVMe SSD storage media to divide the pool into different volumes. -
Highly available storage virtualization
Implementing highly available SAN data storage virtualization. -
A buyer's guide to NVMe-based storage
An all-flash NVMe-based data storage solution can contribute to a lean, powerful, and future-proof data center.
Subscribe to our ADMIN Newsletters
Subscribe to our Linux Newsletters
Find Linux and Open Source Jobs
Most Popular
Focus On Self-Hosting
• Self-Hosted PaaS with Coolify
• Build and Host Docker Images
• Self-Hosted Pritunl VPN Server with MFA
• Self-Hosted Chat Servers
• Self-Hosted Remote Support with RustDesk
Support Our Work
ADMIN content is made possible with support from readers like you. Please consider contributing when you've found an article to be beneficial.
