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About

Juan Mulford mulcas.com, @MulfordCastro

Long story short

I write about infrastructure.

For much of my career, that meant storage, virtualization, VMware, servers, and enterprise systems. Today, that same journey has expanded into GPU computing, AI infrastructure, modern data centers, and advanced cooling technologies.

This blog is where I document what I learn along the way.

About me

Hi, I’m Juan Mulford.

I am an infrastructure-focused technology professional with more than 15 years of experience across networking, enterprise storage, virtualization, data center systems, and AI infrastructure.

My career started in telecommunications, networking, and systems operations. After moving to Taiwan in 2012, much of my work became focused on enterprise storage, VMware virtualization, VDI, solution architecture, benchmarking, and the integration of complex infrastructure platforms.

Over the years, that work naturally evolved toward broader data center technologies. Today, my professional focus includes GPU computing, AI infrastructure, scalable server platforms, liquid cooling, and the technologies required to build modern AI-ready data centers.

I have always enjoyed going beyond product specifications to understand how technologies actually work together, how they perform, where their limitations are, and how they can be applied to real-world infrastructure challenges.

That is also the purpose of this blog.

Some posts are deep technical explorations. Others are troubleshooting notes, benchmarks, observations, tutorials, or lessons learned while working with different technologies. The subjects may change as the industry evolves, but the common theme remains infrastructure.

Throughout my career, I have also spent a significant amount of time creating technical content, conducting benchmarks and proof-of-concepts, developing reference solutions, and explaining complex technologies to technical and business audiences.

After spending more than a decade in Taiwan, I relocated to the United States, where I continue working in the data center and AI infrastructure industry.

This site is my personal space to document that journey, share what I learn, and occasionally revisit technologies that helped shape it.

Thanks for visiting.

Contact

X (Twitter): @MulfordCastro

LinkedIn: Juan Mulford

Disclaimer

The opinions and views expressed on this site are my own and do not represent those of any current or former employer.

 

Latest Articles

East-West vs. North-South: How AI is Reshaping Data Center Traffic

East-West vs. North-South: How AI is Reshaping Data Center Traffic

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Network traffic was largely about users coming into the data center or data going out (classic North-South flows). But with the rise of modern AI, those days are gone. In today’s AI boom, the network has taken on a starring role, especially East-West traffic...
AI Compute Has Options- CPUs, GPUs, and Custom Silicon

AI Compute Has Options: CPUs, GPUs, and Custom Silicon

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For years, GPUs were the only path to cutting-edge AI. Now, the landscape is shifting. With CPUs evolving, custom silicon rising, and Intel Gaudi offering a middle ground, enterprises finally have real choices. The question isn’t GPUs versus ASICs — it’s which tool fits your workload stage best.
NVIDIA is the new VMware. Let me explain...

NVIDIA is the new VMware. Let me explain…

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At the same time VMware lost its spark, AI emerged as the next big tech wave. Leading this charge was NVIDIA, a company originally known for gaming GPUs but now dominating AI and data center computing. NVIDIA quickly stepped into the gap left by VMware, capturing the excitement of IT professionals and hobbyists alike.
Direct-to-Chip Liquid Cooling Explained

Direct-to-Chip Liquid Cooling Explained: A Visual Guide

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As AI accelerates computing demands, traditional air cooling can no longer meet thermal requirements efficiently. Direct-to-chip liquid cooling offers a revolutionary solution by removing heat directly from chips through a sophisticated cooling process.