
Long before AI made server cooling a boardroom subject, Charles Liang was counting wasted watts. The Supermicro co-founder’s career runs from Taiwan’s classrooms to the machinery behind the AI boom - with the responsibilities of scale now catching up.
Before you build another data center, count what is already inside the old one. Serverfarm turned that discipline into a business - and is now applying it to the AI infrastructure rush.

The Credo chief executive spent years building a business between the chips. Now his pitch for AI infrastructure involves purple cables, quieter connections, and a surprising argument for doing less work on each optical channel.
Buying GPUs is the easy part. Penguin Solutions built a business around the harder job: turning chips, memory, networks, and software into computing people can actually use.

From software engineering to the CEO’s office at Penguin Solutions, Kash Shaikh has kept returning to the same problem: how to make complicated technology useful to the people who depend on it.

At sixteen, he needed a judge’s permission to run a business. Today, the vCluster Labs co-founder is working on a different kind of independence: giving teams control of their own infrastructure.

Before co-founding Celestial AI, David Lazovsky built a materials research company and took it public. His next bet was on moving data with light - a pursuit that brought him, and the business, into Marvell.

After two startup acquisitions, Sachin Gandhi is building Retym around an easily overlooked part of AI: the connections between its machines. His route runs through chip engineering, company operations and the patient work of getting silicon into customers’ designs.
A Christmas coding project became Alluxio. Haoyuan (H.Y.) Li has spent the years since working on a stubborn problem: getting data to the machines that need it, before the waiting gets expensive.

At 14, he built an app that taught people to make apps. With Marqo, Tom Hamer turned to the gap between what people mean and what computers understand. His next project takes aim at the wait.

A customer noticed the engine inside Simplismart. For co-founder Amritanshu Jain, that conversation helped turn a broad machine-learning platform into a more focused bet on how AI runs.

Before Raion turned toward AI infrastructure, Laurence Cohen was working on a more familiar bottleneck: getting the right people into the same conversation. His route from finance to founder interviews helps explain the business he is building now.

From Google Wallet and Index to Chalk, Marc Freed-Finnegan has kept returning to the moment a customer needs an answer. His latest work asks AI to get the timing right - and remember what it knew.

He spent eleven years helping Twitter decide what people should see. At Parallel Web Systems, Parag Agrawal is building for a different reader: the AI agent, and the people whose work supplies its answers.

After building Cavium and helping steer Marvell toward data infrastructure, Raghib Hussain took on an older company with a fresh start. At Altera, his wager is that programmable chips need a more predictable business behind them.
He set out to make autonomous robots possible, then designed chips, then walked away from the chips. At Lemurian Labs, Jay Dawani keeps following the same question: what is actually stopping the idea from working?
The name on your camera card now supplies the infrastructure behind AI. Its next challenge is making an unpredictable memory business behave more predictably.
The processor gets the applause. Micron makes the memory that keeps it working - and its shift from PC upgrades to AI infrastructure reveals where computing is getting stuck.
AI has a storage problem hiding behind its chip problem. KIOXIA America’s answer starts with a 245.76 TB drive and reaches all the way back to the invention of NAND flash.
The chip gets the applause. Supermicro builds the server, connects the rack, and deals with the heat. Its rise explains why the AI boom belongs to the people who can make all the parts work together.
Before a phone connects, a radar sees or an AI network moves a packet, someone has to ask an awkward question: does it actually work? Keysight sells the tools to find out.
Amkor turns silicon into something the world can use. Its expanding Arizona campus shows why the next contest in computing runs through packaging and test.

He co-founded Sanmina in 1980 with circuit boards, customers and little room for error. Four decades later, Jure Sola is applying the same practical instincts to the machinery behind artificial intelligence.

Before Datadog became a public company, Olivier Pomel and his co-founder had a simpler ambition: get their teams to stop blaming each other. The habit that followed - looking for uncomfortable facts - still shapes how he builds.
An engineering graduate who once worked on a space-shuttle project now runs Ecolab. Christophe Beck’s next assignment is down to earth: helping the AI economy live within its water supply.

A Navy engineer who kept Camp David running now leads Jacobs through a different kind of reconstruction. His career connects the discipline of service with the physical demands of the AI age.
When Matt Murphy took over Marvell in 2016, its data center business was a small part of the company. His next decade was spent moving toward the infrastructure that AI would eventually need.

The former engineer and federal prosecutor now leads Constellation. His deals with technology companies reveal what happens when the speed of AI meets the long working life of a power plant.

Before a new technology can change your life, someone has to find out whether it works. From early smartphones to 6G, Satish Dhanasekaran has built a career on that inconvenient little detail.
Before AI made power and cooling a boardroom obsession, Giordano Albertazzi spent decades learning the machinery. Now the Vertiv CEO has to make an industry moving at software speed work in the physical world.