GDIT and AWS Use a Desert E-Bike Race to Pressure-Test Battlefield Logistics AI
GDIT and AWS are testing battlefield logistics AI on a Baja 1000 race bike, treating the thousand-mile desert course as a proxy for the comms-denied terrain the software is meant to run on.
GDIT and AWS are testing battlefield logistics AI on a Baja 1000 race bike, treating the thousand-mile desert course as a proxy for the comms-denied terrain the software is meant to run on.
General Dynamics Information Technology and Amazon Web Services are testing logistics-and-maintenance AI at the Baja 1000 off-road race, Defense One reported June 2. The platform rides an electric off-road bike, the kind GDIT said special operations forces already use on some missions, over the roughly thousand-mile course through California and Mexico.
GDIT calls the platform Project Celerity. Its artificial-intelligence vice president, Brandon Bean, described it to Defense One as an AI platform for managing energy, and said it will "provide predictive analytics on when and where the rider needs to pit and where we need to replace the batteries." For a military unit the same model would forecast fuel, parts and power before supplies run out, in places with no reliable network to query. Shannon Judd, AWS's director of global defense partners, told Defense One the tooling maps onto patrols, special operations and disaster relief where there is no signal.
Project Celerity draws on GDIT's DOGMA, the Defense Operations Grid-Mesh Accelerator, software that fuses sensor data and pushes it to an operator under jamming and broken communications, according to the company. GDIT launched DOGMA on January 19 and has since built three versions, for data fusion, for autonomy and a cognitive layer called WorldView, Defense One reported. GDIT said DOGMA first ran at the Pentagon's T-REX experiment, where it cut a decision cycle from 30 minutes to three seconds while monitoring unmanned aircraft.
The two firms already work together at the defense edge. AWS named GDIT its Global Defense Consulting Partner of the Year on January 2, citing the tactical-edge AI behind tools like DOGMA, the companies said.
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Subscribe Free →What the race cannot answer is whether logistics tuned on one bike will hold for a fuel-hungry military fleet, or whether DOGMA's autonomy version reaches a program of record. The Baja 1000 runs its course before either question gets settled.
Frequently Asked Questions
What are GDIT and AWS testing at the Baja 1000?
Per Defense One, the two companies are using the thousand-mile off-road race to stress-test Project Celerity, an AI platform GDIT describes as managing energy and predicting when an electric race bike needs to pit and swap batteries.
Why use a desert race to test military software?
The race is harsh, remote, and offline, which makes it a low-cost proxy for the comms-denied conditions the underlying military logistics and autonomy AI is meant to survive, according to GDIT and AWS executives quoted by Defense One.
What is DOGMA?
DOGMA, GDIT's Defense Operations Grid-Mesh Accelerator, is software that fuses sensor data and sends it to an operator under jamming and broken communications. GDIT launched it in January 2026 and says it now comes in data-fusion, autonomy, and WorldView versions.
Where did DOGMA first run, and how did it perform?
GDIT says DOGMA debuted at the Pentagon's T-REX experiment, where it cut a decision cycle from 30 minutes to three seconds while monitoring unmanned aircraft, per the company's launch materials.
How are GDIT and AWS connected?
AWS named GDIT its Global Defense Consulting Partner of the Year in January 2026, citing their joint tactical-edge AI work, according to the companies' announcements.
What is the battlefield payoff?
AWS's Shannon Judd told Defense One the same predictive and rider-health tooling could support patrols, special operations, and disaster relief in areas with no signal, pointing toward predictive logistics for military convoys.
AI-generated summary, reviewed by an editor. More on our AI guidelines.
Marcus Schuler
Marcus Schuler edits BattlePolicy, a daily defense-technology brief connecting the companies and capabilities behind modern war to the contest among Europe, the US, Russia, and China.