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UNICOM Engineering

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Purpose-built hardware platforms for application providers.

UNICOM Engineering, a division of UNICOM Global, designs and manufactures purpose-built hardware platforms for application providers in networking, security, communications, edge computing, and storage. The company specializes in OEM integration, lifecycle deployment services, and appliance development for ISVs and enterprise technology vendors. Their MarketScale channel covers hardware design, edge infrastructure, and the operational considerations facing IoT and data center solution providers.

35 episodesVisit website ↗
Channel Brief·UNICOM Engineering · 35 episodes
Updated May 19, 2026

AI infrastructure scales only with accountable integration partners

UNICOM Engineering argues that moving AI from one-off builds to repeatable global deployments requires a single accountable partner managing design, cooling, logistics, and installation end-to-end. The channel offers this claim through interviews with engineers and executives, plus facility tours and technical deep-dives.

UNICOM Engineering's central thesis is that AI infrastructure deployment at scale demands a single accountable partner with end-to-end capability across design, integration, cooling, logistics, and installation, plus strong ecosystem relationships with OEMs and ISVs. The channel supports this argument by featuring interviews with UNICOM leadership describing real-world complexity, tours of UNICOM's 65,000-square-foot integration facility in Galway, and technical episodes exploring specific solutions (liquid cooling, confidential computing, edge computing, high-bandwidth memory) that only a full-service integrator can orchestrate.

Drawn from Simplifying AI Infrastructure: From Data Cente… and 3 more →

“A single accountable partner and strong ecosystem relationships help organizations simplify AI infrastructure delivery.”

Episode 1: Simplifying AI Infrastructure: From Data Center to Deployment (Part 1)

By the numbers

70%

of IT leaders integrating AI within their environments

40% to 95%

projected annual growth rate of confidential computing market

5x

revenue increase from intelligent storage software adoption

20%

operating margin boost from intelligent storage software

What the channel argues

Data70% of IT leaders are integrating AI, making purpose-built infrastructure a competitive necessity.→
DataConfidential computing market is projected to grow 40% to 95% annually, driven by legacy data center migration challenges.→
DataOrganizations using intelligent storage software see five-fold revenue increase and 20% operating margin boost.→
DataUNICOM's Galway facility spans 65,000 square feet with 30,000 square feet of warehouse and approximately 3,000 pilot positions.→
InsightEnd-to-end integration capability from design through regulatory compliance, manufacturing, logistics, and support is UNICOM's core differentiator.→
Insight4th Gen Intel Xeon Scalable Processors include IP-based and instruction set-based accelerators for significant performance gains.→

What you'll learn

•Why AI infrastructure deployment complexity requires a single accountable partner managing design, cooling, logistics, and regulatory compliance simultaneously.
•How edge computing, powered by 5G and AI, is becoming a strategic growth driver for enterprises seeking real-time data processing and reduced latency.
•What role confidential computing (Intel's Project Amber) plays in addressing data security concerns during legacy data center migrations.
•How advanced cooling technologies (liquid and immersion) and high-bandwidth memory innovations are becoming necessary to handle exponential data growth.
•Why network configuration decisions upfront can prevent costly issues and optimize storage outcomes in Dell PowerStore deployments.

What to do about it

→Evaluate your AI infrastructure strategy and identify whether you have single-point accountability for design, integration, cooling, logistics, and installation, or if responsibility is fragmented across multiple vendors.
→Assess your edge computing readiness by determining whether your current infrastructure can handle real-time data processing and 5G integration, and whether security (confidential computing) is built in.
→Partner with an integrator that has demonstrated end-to-end capabilities across regulatory compliance (EU Lot 9), manufacturing, global logistics, and customer support, rather than point solutions.

Who and what shows up

Jeff Hudgins

VP of Global Services, UNICOM Engineering

Breaks down real-world challenges of deploying AI infrastructure at scale and explains how single accountability and ecosystem partnerships simplify delivery.

Austin Hipes

Chief Technologist and VP Engineering, UNICOM Engineering

Discusses 4th Gen Intel Xeon impact, liquid and immersion cooling market drivers and use cases, and technical innovations shaping enterprise infrastructure.

Ken Danton

Senior Director of Sales, Dell Technologies

Explores trends driving enterprise edge computing adoption, challenges in deploying IT infrastructure outside data centers, and Dell-UNICOM partnership in delivering edge solutions.

Madhu Bramharouthu

Technical Sales Manager for Xeon Scalable Processors, Intel

Discusses 4th Gen Xeon Scalable Processor history, accelerators, and applications across industries, emphasizing performance, power efficiency, and total cost of ownership improvements.

Mike Cantwell

Global Regulatory Compliance Manager, UNICOM Engineering

Expert on regulatory processes including EU Lot 9; explains how UNICOM handles regulatory compliance, customs, and duties as part of end-to-end infrastructure delivery.

Questions this channel answers

Q

What makes deploying AI infrastructure at scale so complex?

Moving AI from one-off builds to repeatable global deployments introduces complexity across design, integration, cooling, logistics, and installation. A single accountable partner with strong ecosystem relationships helps organizations manage this end-to-end.

Simplifying AI Infrastructure: From Data Center to Deplo… →
Q

Why is edge computing becoming strategic for enterprises?

Processing data at the edge reduces latency and enables real-time AI-driven insights, unlocking competitive advantages in digital transformation. Edge computing, powered by 5G and AI, allows enterprises to create applications that exceed previous capabilities.

Driving Growth at the Edge with Dell Technologies →
Q

How does confidential computing address data security concerns?

Intel's Project Amber and confidential computing solutions help enterprises migrate from legacy data centers securely by encrypting data in use, addressing hesitancy around edge computing adoption.

Unveiling the Future of Confidential Computing with Inte… →
Q

What technical innovations are enabling next-generation infrastructure?

4th Gen Intel Xeon Scalable Processors include IP-based and instruction set-based accelerators, while liquid and immersion cooling, high-bandwidth memory, and intelligent storage software deliver performance, power efficiency, and cost improvements.

Breaking Down Liquid and Immersion Cooling – An Overview… →
Q

What should you consider before deploying Dell PowerStore?

Network configuration choices directly impact PowerStore performance and reliability. UNICOM Engineering outlines nine key points covering network compatibility and performance evaluation that should be addressed upfront to prevent costly issues.

Navigating Network Deployment: Key Points for Dell Power… →
Topics:AI infrastructure deployment and scalingEdge computing and 5G integrationConfidential computing and data securityLiquid and immersion cooling systemsDell PowerEdge and Intel Xeon processors
Themes:End-to-end accountability simplifies AI infrastructure at scaleEdge, 5G, and AI convergence requires purpose-built hardware and integrationTechnical depth and ecosystem relationships are competitive differentiators

Industry context

AI infrastructure deployment at scale increasingly requires purpose-built hardware, advanced cooling, and edge-processing integration. 5G penetration and edge AI workloads are reshaping data center design, network architecture, and the demand for carriers to interconnect isolated networks.

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