Evaluating
Duos Edge AI?

What is Duos Edge AI, and what does Duos Technologies Group do?

Duos Edge AI is a subsidiary of Duos Technologies Group, Inc. (Nasdaq: DUOT). According to the company’s SEC filings, it deploys and operates modular Edge Data Center (EDC) pods that provide colocation and GPU as a service in underserved Tier 3 and Tier 4 US markets, with a footprint in Texas and Georgia.

So what does Duos Technologies do? The parent group is publicly listed; Duos Edge AI is the unit focused on digital infrastructure. Its model is to build, own and operate edge data centers and earn hosting, colocation and GPU rental revenue, acting as the service provider rather than an equipment vendor. A customer buys capacity in a Duos Edge data center; it does not buy the pod itself.

Source: Duos Technologies Group FY2025 results, SEC 8-K exhibit, March 31, 2026. Reviewed November 2, 2026.

What are Duos Edge data center pods from Duos Technologies?

In a data center, a pod is a repeatable block of racks with its own power, cooling and network infrastructure. Duos uses the term for its Edge Data Center pods: modular units placed close to the users and networks they serve, rather than in a large regional campus.

That is the main difference between an edge data center and a traditional data center. An edge facility is sited at the network edge to support local data processing and minimize latency for nearby schools, carriers, enterprises and public services. Traditional data centers concentrate capacity where large-scale power and connectivity already exist. Many specialized AI inference and high performance computing projects sit between the two, which is why the edge pod model has attracted attention.

Some in the data center market call this the missing middle: workloads too local or latency-sensitive for a distant hyperscale region, but too large for a server closet. Processing data locally, or local computing, can improve network performance for enterprise computing, critical infrastructure and emerging technologies. Traditional large-scale development, by contrast, concentrates very large campuses in a few regions with heavy power and fiber access.

Duos’s filings do not state the enclosure type or cooling method of its standard pods. For the Columbus, Georgia campus, DDC Solutions says it will cool the high-density GPU infrastructure (DDC Solutions).

Duos Edge AI data center capacity by the numbers

The figures below come from Duos Technologies Group, Inc. SEC 8-K exhibits. They describe the company’s reported position, not QIT’s capability.

Duos Edge AI’s regional deployments started with single pods. The Columbus agreement shows how the Duos Edge AI data center model can grow from single pods into a multi-megawatt hyperscaler campus. The proposed 0Lat lease shows that ownership of a deployed portfolio can change after commissioning, which matters to any customer planning a multi-year term.

Sources: SEC 8-K exhibit, March 31, 2026; SEC 8-K exhibit, August 17, 2026. Reviewed November 2, 2026. Some company press summaries mention deployment speed and per-cabinet density; those claims are not repeated here because we could not confirm them in the filings.

Duos Edge AI vs QIT: what you are buying

The table compares delivery models, not performance. A colocation contract and a capital project for next generation AI infrastructure carry different risks, costs and responsibilities, so put them side by side only after you know which one you need.

Duos Edge AI alternatives for digital infrastructure buyers

You need edge capacity, not a facility

If your requirement is a few racks near local users, buying colocation from an edge service provider such as Duos Edge AI may be the most direct route, and lets you rely on the provider’s operational expertise rather than building your own. Ask which of the provider’s regional deployments is closest, the network edge you will reach, the power available per cabinet and the support model for critical operations.

You need GPUs, not racks

If the goal is AI data center capacity without owning hardware, compare hosted GPU offers from Duos Edge AI and from neoclouds. See how QIT works with neoclouds.

You control power and want to own the asset

If you have an energized property, a 5–10 MW opportunity and a long-term view of the asset, a scoped modular project may fit better. QIT plans liquid-cooled GPU containers around existing infrastructure where it is suitable, adds 1 MW blocks to meet evolving needs, and installs each factory-integrated container on a prepared site in 15 hours.

Other modular builders take different approaches. Compare the Armada and Crusoe Spark pages, or the wider list of modular data center companies.

Questions to put to any edge service provider

• Is the price for colocation, GPU as a service, or owned equipment?
• What capacity is available today at the named site, and what is only contracted or planned?
• How is the pod cooled, and what density can each cabinet support under load?
• Who owns the facility today, and what happens to your contract if the portfolio is leased or sold?
• What infrastructure equipment, spares, onsite services and response times cover critical services?
• How does the site connect to carriers and to your existing infrastructure?

Written answers make an edge data center offer comparable with a modular data center project, and expose any assumption that would change the decision.

When to speak with QIT

Speak with QIT when you have a powered site, a 5–10 MW plan and a reason to own or control the infrastructure. Start with the modular data center guide, read edge data centers explained, and check the Texas site checklist. Then discuss a project.

QIT is independent of Duos Technologies. This Duos Edge AI comparison does not claim a partnership, equivalent capacity or better performance.