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The NEU Era Insight Series: Scaling AI Infrastructure: A Passive Physical Layer Perspective

Scaling AI Infrastructure: A Passive Physical Layer Perspective As Artificial Intelligence (AI) and Machine Learning (ML) workloads rapidly grow, design focus usually centers on integrating active compute elements and networking hardware; like the graphics processing unit (GPU) and other accelerators, customized Application Specific Integrated Chips (ASICs), and high-speed switches. However, the actual choke point of […]

The NEU Era Insight Series: Accelerators: What they are and their influence on fiber infrastructure.

Introduction Artificial intelligence (AI) workloads are fundamentally reshaping data center architecture. While compute engines, termed accelerators, are often center stage, their performance can be limited by the underlying physical layer they connect with, so the network infrastructure also needs to change according to the type of accelerator being deployed. AI compute is now moving from […]

The NEU Era Insight Series: What’s Driving Pre-terminated VSFF Interconnects in the AI Era?

To understand the rapid shift to Very Small Form Factor (VSFF) fiber connectors like MMC or SN-MT and pre-terminated connector solutions in the modern Data Center needs an appreciation of the role of Spine-Leaf architectures, the need for fast installation within a Data Center facility plus the importance of the quality of the connection. Introduction […]