Techno
TM
The Techno is a rapidly deployable 50 MWe power plant for AI compute. Comprised of factory-manufactured modules that fit on the back of the truck.
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What it is
The Techno is a 50 MWe power plant with five 10 MWe reactors sharing multiple turbines. With phased maintenance, it is never fully offline.
Co-located with data centers, the Techno is the clean and sustainable power solution for artificial intelligence.
Tech Specs
Configuration
Configuration
5 Reactors
Auxiliary systems
Shared turbines
Reactor model
Techno
Reactor Type
Sodium Thermal (STR)
Core Systems
Moderator
Graphite
Coolant
Liquid Sodium
Operating Pressure
Near Atmospheric
Operating temp.
160 - 425 °C
Fuel
Form
UO₂ Ceramic
Enrichment
8 % LEU+
Safety
Shutdown
5 Reactors
Decay Heat Removal
Shared turbines
Sodium Test Loop
The foundation of our sodium testing program. The STL circulates sodium reliably with in-house design, manufacturing, and test programs. Its small-scale components provide baseline flow, temperature, and quality data for Techno-0 and Techno. Operational in our skunkworks lab in Idaho today.
Process
A field-proven deployment process that derisks your investment
Solution Setup
01
Assessing how Digit can help your facility automate
On-site Validation
02
Demonstrating results as an integrated part of your workflow
Operational Impact
03
Partnering to maintain throughput and ensure growth
The Measurement
Every figure we publish is measured at the bus. Nothing here is modeled.
Simulation is where power engineering starts, not where it ends. Our fleet is instrumented at the point of interconnection and read quarterly under real load, so the numbers on this page are what the hardware did, not what the model promised.
BASIS
P95
Reporting basis
Cadence
Quarterly
Read cadence
Window
12 mo
Trailing window
Tolerance
±0.5%
Accuracy
We use off-the-shelf fuel
LEU
Low-enriched uranium with <5% fissile U-235 or <8% for LEU+.
Vetted supply chain. Produced
at scale.
HALEU
A higher-enriched fuel that doesn't yet exist at commercial scale. Techno will consider implementation as the supply chain expands.
60,000 tons
The problem