Tom Burick once built robots that could navigate mazes and respond to voice commands. He restored a 1950s teardrop trailer down to its original rivets. But nothing he’s done in his 30 years as a builder and educator has drawn the kind of sustained, wide-eyed attention as the 30-foot-long, 800-vacuum-tube monster now humming in the back of a high school shop classroom in Virginia: a full-scale, operational replica of the ENIAC, the world’s first general-purpose electronic computer.
Key Takeaways
- The ENIAC replica spans 30 feet and contains 800 vacuum tubes, mirroring the original’s 1945 design.
- Burick led a team of high school students over 18 months to complete the build, blending historical research with hands-on engineering.
- The replica is not a simulation—it uses discrete components and physical patch cables to perform real calculations.
- Unlike the original $500,000 machine (over $8.2 million today), this version cost under $40,000.
- The project was driven by Burick’s belief that students learn engineering best by rebuilding the foundations—literally.
The Machine That Started It All—And Why It Matters Now
The original ENIAC, unveiled at the University of Pennsylvania in 1946, weighed 30 tons and consumed 150 kilowatts of power. It was designed to calculate artillery trajectories during World War II. But its real legacy was broader: it proved that electronic systems could be reprogrammed to solve different problems, a foundational concept for modern computing.
That idea—reprogrammability—wasn’t obvious in 1945. Machines before ENIAC were hardwired for one task. The leap to a machine that could be rewired for different problems was major. And now, 81 years later, Burick’s students are learning that lesson the hard way: by rewiring it themselves.
Each function on the replica is set using patch cables and switches. To change the program, you reconfigure the machine by hand—just like the original “ENIAC women,” the six female programmers whose work was long overlooked. There’s no operating system. No compiler. No abstraction layer. Just electrons, copper, and glass tubes glowing in the dark.
Burick’s Classroom Is Now a Time Machine
At William Monroe High School in rural Virginia, the ENIAC replica dominates the back third of the engineering lab. It’s flanked by 3D printers and microcontroller kits, but those feel like afterthoughts. The replica doesn’t just take up space—it changes the room’s gravity.
Students don’t just walk by it. They stop. They stare. They touch the metal chassis, trace the cables, peer at the blinking lights. And when Burick powers it on, the room fills with a low hum and the faint smell of warming glass.
“You can’t explain the scale of it,” Burick told IEEE Spectrum. “You have to see it. You have to hear it. You have to feel it vibrate when it runs a calculation.” That’s why he didn’t settle for a simulation, a video, or even a scale model. “If you want students to understand computing, you start with the machine that made it possible.”
Why Build a 1945 Computer in 2026?
The question comes up a lot. Why spend 18 months and thousands of dollars building a machine that’s slower than a $5 Raspberry Pi? Why not just teach students assembly or embedded systems?
Burick’s answer cuts through the noise: “Because they don’t know how anything works anymore.”
He sees students who can write Python scripts but don’t know what a transistor does. Who use APIs without understanding the layers beneath. The ENIAC project forces them to confront the physical reality of computing. Each vacuum tube had to be tested. Each resistor calculated. Each wire soldered by hand.
“You can’t Ctrl+Z your way out of a bad solder joint,” one student said during a presentation. That kind of consequence—immediate, tactile, unforgiving—is rare in modern software education.
The Build Wasn’t Just Engineering—It Was Archaeology
Burick didn’t have blueprints. The original ENIAC schematics were scattered across archives, some declassified, others incomplete. His team had to cross-reference technical manuals, declassified Army documents, and photos from the 1940s.
They discovered discrepancies in voltage tolerances, conflicting reports on tube types, and even errors in digitized schematics. “We weren’t just building a machine,” Burick said. “We were reverse-engineering a myth.”
One breakthrough came when a historian at the Computer History Museum in Mountain View emailed Burick a scanned page from a 1946 maintenance log—previously uncataloged—that clarified the grounding scheme for the accumulator units. “That one page saved us two weeks of trial and error,” he said.
The team used modern materials where safe and practical—aluminum framing instead of wood, safety fuses, updated power supplies—but stayed faithful to the original architecture. The replica doesn’t emulate ENIAC. It is ENIAC, rebuilt.
The Bigger Picture: Why Hardware Literacy Is Fading—and Why It Shouldn’t
Today’s engineering students are fluent in software frameworks, cloud infrastructure, and machine learning pipelines. But ask them to trace a signal from input to output through logic gates, or explain how a flip-flop holds state, and many hesitate. The abstractions that make modern development fast and scalable also create a cognitive distance from the physical layer.
This isn’t just an academic concern. In 2023, Intel reported that nearly 40% of its new engineering hires lacked hands-on experience with PCB design or analog circuits. At Google and Microsoft, internal training programs now include “hardware boot camps” to bridge the gap for software-focused grads. Even at MIT, educators have introduced mandatory circuit labs for computer science majors after noticing a decline in electrical intuition.
Burick’s ENIAC project is a direct counterweight to that trend. It forces students to see computing as a chain of cause and effect: a pulse travels down a wire, flips a state in a register, triggers a cascade through adders, and finally lights a digit on a panel. No libraries. No garbage collection. No invisible threads.
That kind of understanding pays off in unexpected ways. Engineers from companies like SpaceX and Tesla often cite early tinkering with radios or old computers as formative. Gwynne Shotwell, President of SpaceX, once described debugging satellite systems by recalling how vacuum tubes behaved under thermal stress—an intuition forged in amateur radio projects decades earlier.
When students wire up an accumulator unit and see it store a number through physical relays, they’re not just learning history. They’re building mental models that will help them diagnose a memory leak in a real-time control system ten years from now.
Competing Efforts: Who Else Is Rebuilding the Past?
Burick’s project stands out not because it’s the first ENIAC replica—but because it’s built and maintained by high schoolers. Other efforts exist, but they’re typically led by museums or retired engineers with deep institutional backing.
The original ENIAC is preserved at the University of Pennsylvania, but it’s non-operational. The Computer History Museum in California has a working replica of the 1949 EDSAC, another early computer, completed in 2016 after a 15-year effort. That project cost over $750,000 and involved engineers from Google and Microsoft. The Analytical Engine project in the UK, aiming to build Charles Babbage’s unbuilt 19th-century design, has been underway since 2011 with support from the Science Museum London and private donors.
By contrast, Burick’s team had no endowment, no corporate sponsor, and limited access to rare parts. They sourced 6L6 and 12AX7 vacuum tubes from eBay and surplus electronics dealers—many still sealed in original WWII-era packaging. They repurposed industrial terminal blocks from defunct telecom equipment. Local electricians donated time to help design the power distribution system, ensuring the classroom circuit wouldn’t trip every time a bank of tubes fired up.
What makes this effort different is its educational DNA. At Penn or Mountain View, the goal is preservation. In Burick’s classroom, the goal is transformation—of students, of teaching, of what’s possible in underfunded public schools. Other replicas are artifacts. This one is a teacher.
Cost vs. Original: A Modern Paradox
- Original ENIAC (1945): $500,000 (~$8.2 million in 2026 dollars)
- Replica (2026): Under $40,000
- Size: 30 feet long, 10 feet high
- Weight: ~4,000 pounds (replica)
- Power draw: 12 kW (slightly less than original)
- Processing speed: 5,000 additions per second
The cost difference is jarring. But Burick points out that the original cost included classified R&D, custom components, and wartime urgency. His build used off-the-shelf tubes (NOS—new old stock), surplus transformers, and donated labor. Still, the gap speaks volumes: what once required a government budget now fits within a high school’s STEM grant.
What This Means For You
If you’re a developer, this isn’t nostalgia. It’s a warning. The further we move from the physical underpinnings of computing, the more fragile our understanding becomes. When a bug appears, do you know whether it’s in the code, the compiler, the kernel, or the silicon? Most of us don’t. We’ve built skyscrapers on foundations we’ve never seen.
For builders and educators, Burick’s project is a blueprint. You don’t need a tech giant’s budget to teach deep systems thinking. You need curiosity, access to parts, and the willingness to rebuild the past. Open hardware, retro computing, and physical computing projects aren’t hobbies—they’re essential counterweights to the abstractions of modern software.
Will we still teach algorithms without teaching electrons? Maybe. But the engineers who can bridge that gap—the ones who’ve held a vacuum tube that once carried a program into history—will see systems differently. They’ll debug differently. They’ll design differently.
What happens when a new generation doesn’t just learn about ENIAC, but turns it on?
Sources: IEEE Spectrum, original report
