THE CATALYST LAB 💡

Enterprise IT Insights, Product Reviews & Strategy!

Top AI Data Center Networking Challenges Explained Clearly
Chad Jungwirth

Top Challenges in AI Data Center Networking

AI data center networking is now a direct driver of AI performance. In a traditional data center, the network mainly supports application traffic, storage access, and routine east-west communication. In an AI cluster, the network affects how quickly GPUs can

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Why Buy Refurbished Equipment to Reduce IT Costs
Charles Lymangood

Why Buy Refurbished Equipment to Reduce IT Costs?

Enterprise IT teams are under pressure to do more with less. Hardware prices are rising, refresh cycles are moving faster, and many organizations still face long lead times for servers, switches, storage, and GPUs. That is why many buyers ask

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How to Implement Zero Trust Architecture for Better Security?
Sophan Pheng

How to Implement Zero Trust Architecture for Better Security?

In today’s rapidly evolving digital landscape, traditional security models are no longer enough to protect organizations from sophisticated cyber threats. Zero Trust Architecture (ZTA) is a modern, proactive security framework that challenges the outdated notion of trusted internal networks. With

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HPE ProLiant DL360 Gen11 Review: Specs, Performance & AI Workloads
Chad Jungwirth

HPE ProLiant DL360 Gen11 Review: Specs, Performance & AI Workloads

Modern enterprises are rapidly shifting toward dense and scalable infrastructure to support virtualization, analytics, and hybrid cloud environments. As rack space becomes more valuable, organizations need systems that deliver maximum performance within a minimal physical footprint. The HPE 867959-B21 ProLiant

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NVIDIA H100 8x 80GB SXM Server Review for AI and HPC
Swastik Lamsal

NVIDIA H100 8x 80GB SXM Server Review for AI and HPC

AI infrastructure has changed quickly. What was once built around general-purpose GPU clusters is now shifting toward tightly integrated platforms designed for large models, high-throughput inference, and demanding HPC workloads. The move from NVIDIA A100 to H100 reflects that shift

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