What Giga Energy does: equipment, data center construction and colocation
Giga Energy is a Houston-based company that manufactures power and cooling equipment and develops, builds and operates modular AI data centers. It runs factories in Houston, Texas and Long Beach, California. Its markets include AI and data centers, utilities, renewables, mining (including bitcoin), industrial customers and oil and gas.
The company describes a vertically integrated model with three parts:
- Equipment: power and cooling equipment sold direct and through resellers.
- Construction: build-to-suit data center projects for customers, including site development and engineering.
- Colocation: operating capacity on its own powered land and data center sites.
That breadth means Giga can act as an equipment vendor to developers and contractors, as a builder for operators, or as the operator itself. Each role puts a different boundary around what you buy.
Giga Energy states that it has built more than 175 MW of data centers and has a pipeline of more than 500 MW. Its site includes a customer story titled “Energized 10MW in West Texas.” These are company statements.
Source: Giga Energy website. Reviewed November 2, 2026.
GigaBase, GigaPod and power distribution equipment
GigaBase is Giga Energy’s turnkey, modular AI data center: a turnkey solution that combines the compute module with pre-built critical power infrastructure and cooling. Its core is the GigaPod AI-01, a 45-ft factory-built compute module that can be extended to 90 or 135 ft. Giga describes air-to-liquid cooling with hot-aisle containment, support for both liquid-cooled high-density and air-cooled racks, and an air-cooled chiller feeding a closed cooling-water loop. A per-GigaPod megawatt rating is not published, so ask for the rack count, rack power and IT capacity for your configuration.
The supporting power infrastructure is published with ratings:
- M-01 medium-voltage switchgear
- E-01 UPS E-House (3.0 MW, lithium-ion)
- E-02 power skid (3.6 MVA)
- DG-01 diesel generator (3.3 MW)
- M-02 air-cooled chiller (2 MW)
- Padmount transformers, substations and UL 891 switchboards
Giga also offers Giga Power Systems, a demand response service for data centers.
Sources: Giga Energy website and GigaPod page. Reviewed November 2, 2026. Ratings are Giga Energy’s published figures.
Not to be confused with
Several similar names appear in search results for “giga energy data center” and “gigapod”:
- Giga Data Centers (gigadatacenters.com) is a separate modular colocation provider based in Mooresville, North Carolina.
- GIGAPOD is also the name of a GIGABYTE rack-scale product line, unrelated to Giga Energy’s GigaPod module.
- Advanced Giga is also unrelated.
This page refers only to Giga Energy of Houston.
How the delivery models compare
Giga Energy’s scope can run from a single transformer to a full site with colocation. QIT’s scope is narrower: liquid-cooled GPU containers integrated with a customer’s site. The table compares published Giga information with QIT’s approach.
| Dimension | QIT | Giga Energy |
|---|---|---|
| Scope boundary | Defined per project: container, integration and the agreed site interfaces. | From individual equipment to turnkey GigaBase builds and colocation on Giga’s land. |
| Form factor | 20 ft shipping container (5.8 × 6.8 × 2.44 m). | 45-ft GigaPod compute module (extendable to 90/135 ft) plus power and cooling skids. |
| Cooling | Direct liquid cooling on every GPU and CPU; sealed closed loop with dry coolers, no water consumption. | Air-to-liquid with hot-aisle containment; liquid-cooled or air-cooled racks; air-cooled chiller with a closed loop. |
| Capacity | 1 MW IT and up to 1,200+ GPUs per container; phased into 5–10 MW sites. | Per-GigaPod MW not published; supporting modules rated individually. |
| Site | Prefers existing powered properties, Texas focus. | Customer sites (build-to-suit) or Giga’s own powered land. |
| Ownership and operation | Agreed at the start of each project. | Customer-owned equipment and builds, or Giga-operated colocation. |
| Schedule | Factory-integrated; installed on a prepared site in 15 hours. | Request a project-specific schedule. |
Power infrastructure and the critical path
For many AI data center projects, the schedule is set by power infrastructure rather than by the compute module. Transformers, switchgear and other electrical equipment can carry long lead times, and utility coordination and grid interconnection can take longer still. Delays in any one item hold up the whole site. Giga Energy’s model addresses this by manufacturing much of that equipment in its own factories.
QIT addresses the same problem from the site side. It prefers existing powered properties, where some of the electrical infrastructure is already in place, and plans GPU capacity in roughly 1 MW blocks so that the first phase can match the power available today.
Whichever route you take, put every long lead-time item into one schedule with the compute delivery. Ask each supplier for committed dates on its own equipment instead of applying a general market lead time to the whole project. Where possible, run factory work and site work in parallel, so that hardware, network and electrical systems arrive as the site becomes ready.
When each option fits
Giga Energy may fit when you need electrical infrastructure such as transformers, switchgear or UPS, want a single partner for power equipment and construction, or prefer colocation on powered land you do not own. Its manufacturing of long lead-time electrical equipment is central to its offer.
QIT may fit when you already have a powered property in Texas, want AI infrastructure with liquid cooling designed around the GPU platform and rack density from the start, and plan to add capacity in roughly 1 MW steps toward 5–10 MW.
The two can also be complementary: electrical equipment and compute modules are separate procurement decisions. See the modular data center companies guide and the bitcoin miners moving to AI guide for related providers.
Questions to ask any vendor
- What is the IT capacity of each compute module, and at what rack density?
- Is the cooling design rated for your GPU platform’s liquid requirements at your site’s design ambient temperature?
- Which electrical equipment is included, and what are the committed lead times?
- Will you own the site and equipment, or buy colocation capacity?
- Who operates and maintains the system after handover?
- What event starts the schedule, and what can move it?
- How is full-system acceptance tested and documented?
Related guides and next steps
Start with the power you can use and the scope boundary you want. These pages help frame the decision:
- Modular data centers for AI
- Powered land vs powered shell
- Texas data center site selection
- Liquid-cooled GPU containers
QIT is independent of Giga Energy. This page does not claim equivalent capacity or performance. Discuss your site with QIT.
Prepared by QIT · Updated November 2, 2026
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