A+ Server 4125GS-TNRT
Executive Summary
GPU servers offer a tremendous benefit in terms of performance for AI and HPC applications compared to a traditional CPU only server. A wide range of applications can be executed on these systems, and the performance increase for applications that take advantage of the GPUs has been widely documented. While GPU focused servers contain single or dual CPUs and up to 10 PCIe GPUs, how the system is architected can impact the application speed and flexibility of the server. There are three ways to design a GPU server, resulting in a more optimized system for various workloads. The data flow between the CPU and GPUs is crucial when choosing a GPU server.
Certifications
Red Hat certified hardware is proven to incorporate Red Hat's best practices and provides customers tested interoperability, known life cycle management, and trusted support.
| Compare | Product | Level | |
|---|---|---|---|
Red Hat OpenStack Services on OpenShift 18.0 - 18.x Base OS: Red Hat Enterprise Linux 9.0 Architecture: x86_64 | Certified | ||
Red Hat OpenStack Platform 17.0 - 17.x Base OS: Red Hat Enterprise Linux 9.0 Architecture: x86_64 | Certified | ||
Red Hat Enterprise Linux 9.0 - 9.x Architecture: x86_64 | Certified | ||
Red Hat Enterprise Linux 8.6 - 8.x Architecture: x86_64 | Certified | ||
Red Hat OpenShift Container Platform 4.13 - 4.x Base OS: Red Hat Enterprise Linux 9.0 Architecture: x86_64 | Certified | ||
Red Hat OpenShift Container Platform 4.11 - 4.12 Base OS: Red Hat Enterprise Linux 8.6 Architecture: x86_64 | Certified | ||
Red Hat Virtualization Knowledgebase articlesBase OS: Red Hat Enterprise Linux 8.6 Architecture: x86_64 | Certified |
