AI servers require network cards

This necessitates a new back-end network in cloud and large enterprise data centers, designed for HPC workloads like AI training.

How do AI workloads influence hardware selection? Hardware choices vary based on workload needs, such as GPU density for

AI Agents: coordination, control, and visibility between networks and NICs to ensure optimized performance and unified management

Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team

Why GPUs Lead Deep Learning Innovation GPUs have become the standard for AI workloads thanks to their parallel processing

In this article, we will look at why standard servers are not suitable for AI tasks, and what characteristics are needed

However, for large-scale clusters, an external Ethernet-based AI fabric is required to coordinate data movement between multiple

Choosing AI network switches for H100/H200, B300, or GB300 GPU clusters? This guide covers port speed requirements, switch

Scale-out fabric: The scale-out fabric is the fabric used to interconnect AI servers to create clusters. This fabric is essential for

Understanding those differences is essential for anyone involved in designing, manufacturing, or procuring the printed circuit boards

About this Document This document is a generic design document for building network infrastructure for high-performance AI clusters.

Key Takeaways AI servers play a ubiquitous role in every industry across the entire AI pipeline. AI servers are strategically

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