PTS Design and Engineering, Inc.

06/17/2026

Everyone says AI is crashing. Here's what's actually happening. The "AI bubble burst" headlines are everywhere. But I've spent 30 years building data centers, and right now I'm developing gigawatt AI infrastructure across the US.
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Is AI crashing? I'm calling it a pivot. For 30 years I've built data centers & I'm developing gigawatt-scale AI infrastructure across the US.

06/10/2026

The people building artificial intelligence are making a mistake about what a human being actually is. I would know. I've spent thirty years building the houses that AI lives in.

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The people building artificial intelligence are making a mistake about what a human being actually is. I would know. I've spent thirty years building the houses that AI lives in.

06/03/2026

"AI is draining our rivers" is one of the stickiest tech narratives of the last two years. It's also a misallocation of public concern at a scale I've rarely seen in 25 years of building infrastructure.

The facts:
■ All US data centers consumed ~17.4 billion gallons of water in 2023 (about 0.3% of the public water supply).
■ US irrigation pours ~43 trillion gallons a year onto cropland. That's a factor of more than 2,000 to 1.
■ In the Colorado River basin, alfalfa alone — cattle feed, much of it exported to dairies in China and Saudi Arabia — consumes more water than every city and industry in the basin combined.

But here's where I argue against my own side: the critics are wrong about scale, and right about shape. Data center water isn't a volume problem. It's a concentration problem — too much demand landing on too few pipes, often in the driest places. And a concentration problem has a name for its solution: distribution. The people sounding the alarm have, without realizing it, written the specification for decentralized, behind-the-meter, closed-loop infrastructure — the exact opposite of the drop-a-gigawatt-anywhere model we're racing to build.

My new essay, "The Almond and the Algorithm," is about learning to worry about water accurately — and why that discernment is the skill the age of AI will demand most.
Link:

The internet says AI data centers are draining our rivers. The numbers say we're worried about the wrong water.

05/27/2026

Gartner research highlights that AI workloads are pushing beyond traditional infrastructure assumptions — especially around power availability and workload density. That’s forcing a rethink of how infrastructure is designed, segmented, and deployed.

If you’re thinking through this, read this complimentary Gartner report as a strong starting point:
→ Download the complimentary Gartner® report
(The AI Data Center Power Management Playbook)
https://hubs.la/Q04j1Gnz0

05/22/2026

Pete Sacco, CEO of PTS Data Center Solutions, believes that clusters of small data centers requiring only 5 to 20 MW of power are the future. He noted many large projects are now being cancelled due to interconnection delays and local pushback. At the same time, he said inference work — answering prompts — as opposed to training, is growing rapidly and will account for 55 per cent of AI computing demand in 2027.
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Pete Sacco, CEO of PTS Data Center Solutions, believes that clusters of small data centers requiring only 5 to 20 MW of power are the future.

05/14/2026

One of the more important insights from Gartner’s latest research: AI workloads don’t behave like traditional enterprise workloads. They require different power profiles, different cooling strategies, and different infrastructure environments. Which means shared environments can introduce inefficiencies, reliability risks, and rising costs. That’s a meaningful shift for anyone thinking about private cloud or AI deployment.

Download the complimentary Gartner® report: https://hubs.la/Q04gGH9v0

05/12/2026

PTS Data Center Solutions is proud to announce that the Lawrence Livermore National Labs' DICE Project has achieved LEED Gold certification, marking a significant milestone in the company’s continued commitment to delivering high-performance, sustainable mission critical facilities.

PTS is proud to announce the LEED Gold certification of Lawrence Livermore National Labs' (LLNL) DICE Project.

05/08/2026

Most people think AI is limited by GPUs. Gartner research indicates something different: Power is becoming the primary constraint in AI infrastructure. That shift has real implications for how and where AI workloads are deployed.

It’s no longer just about scaling compute — it’s about designing infrastructure around energy, density, and control. If you’re building or operating AI systems, this is worth understanding:

→ Download the complimentary Gartner® report: https://hubs.la/Q04f-8bJ0

04/24/2026

https://hubs.la/Q04dmKyR0

Pete Sacco (PTS Data Center Solutions) says the days of big facilities are over as compute transitions from training to inferencing, which requires a decentralized model.

03/20/2026

Something happened to me over the last few months that I need to share.

Peter Diamandis launched an Xprize asking creators to envision a positive future for AI. I've built data centers for NASA and national labs for almost 30 years, so I know this technology from the foundation up. But instead of writing about the future, I decided to build the vision with an AI, in real time, across weeks of deep creative collaboration.

What came out of that process wasn't just a film concept. It was a living example of the very future we were trying to describe. The AI navigated a landscape my life had built. I saw my own landscape more clearly because of how it navigated. Neither of us could have found the story alone.

Michael Levin's research on cognitive light cones explains why. And my own experience in meditation and plant medicine confirms it from the inside: when you expand the boundary of what's in conversation with what, the system doesn't just communicate better. It gets smarter.

I wrote the whole story here:

What Happens When You Build a Future Vision with the Technology You're Envisioning