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BAYWAWData Center

BAYWAW AI Container · 1.2 MW

The AI data center that ships in a container.

A containerized AI data center: 624 NVIDIA B300 GPUs, single-phase immersion cooling and 1.2 MW in one 40ft ISO container, at a PUE of 1.05. Live on your site in as little as four months.

  • Built in the UAE
  • Deployable worldwide
  • Managed 24/7
Three-dimensional view of the BAYWAW AI Container: an ISO 40ft High Cube container measuring 12,192 × 2,438 × 2,896 mm, with roof-mounted heat-rejection units, an LED-lit roofline and a glazed entry door reached by steps with handrails.

40ft High Cube ISO container12,192 × 2,438 × 2,896 mm

NVIDIA B300 GPUs
624
Total GPU memory
179TB
Facility power
1.2MW
Power usage effectiveness
1.05PUE

01Why now

AI moves in quarters. Construction moves in years.

For most AI programs, the constraint is not ambition. It is power-dense, cooled and connected capacity, available when the roadmap needs it. A modular data center changes the timeline.

  1. 01

    Construction can’t keep pace

    Conventional data center projects are typically measured in years from planning to commissioning. A factory-built container moves integration off site, so compute can be running in as little as four months.

  2. 02

    AI density has outgrown air

    Racks of modern AI accelerators concentrate far more heat than most air-cooled halls were designed for. Immersing servers in dielectric liquid removes heat at the source, which is how 624 GPUs fit in a single 40ft container.

  3. 03

    Sovereignty starts with location

    Governments and regulated industries increasingly need sensitive data and models to stay within their borders. A container can be deployed on your own soil, on a site you control.

02The BAYWAW AI Container

One container. A complete AI data center.

Compute, immersion cooling, network and security, pre-integrated in a 40ft High Cube ISO container and fed by two redundant power modules. Every system is tested and validated before shipment, so it arrives configured, optimized and ready to run.

Plan view of the BAYWAW AI ContainerSchematic top view of a 40ft container with six immersion tanks, three on each side of a central service aisle. Each tank holds 13 servers, or 104 GPUs.12,192 mm2,438 mmTank 01Tank 02Tank 03Tank 04Tank 05Tank 06Service aisle13 servers · 104 GPUs per tank
  • Coolant distribution manifold
  • Return manifold to CDU
  • Server blade, 8 GPUs
Schematic plan view, not to scale: six GRC NX single-phase immersion tanks arranged 3 + 3 around a central service aisle.
Compute
624 × B30078 Hypertec servers with 8 NVIDIA B300 GPUs each, 288 GB of HBM3e per GPU and up to 13.5 PFLOPS of peak FP4 compute per GPU.
Cooling
6 × GRC NXSingle-phase immersion tanks with redundant coolant loops and CDUs, plus roof-mounted heat-rejection units.
Power
1.2 MW · N+2Two power modules, one active at full capacity and one on standby, with failover in under 10 ms.
Network
8 × 400GEast-west links per server on a rail-optimized, non-blocking GPU fabric, plus a front-end spine, edge routing, next-generation firewalls and out-of-band management.

03Technology

Three engineering decisions behind every container.

An immersion-cooled data center is only as good as its power and its network. Cooling, power and network are designed as one system and tested together before shipment.

  • 01Single-phase immersion cooling

    Cooled in liquid, not air

    Servers sit in a dielectric liquid bath. Coolant flows from the distribution manifold across liquid-cooled plates and returns to redundant CDUs, while roof-mounted units reject the heat.

    1.05PUE
    How immersion cooling works
  • 02Energy-agnostic, solar-ready power

    Any power source, N+2 redundancy

    Connect to the grid, on-site generation or a solar farm with battery storage. Two power modules, one active and one on standby, fail over in under 10 ms.

    < 10 msFailover
    Plan a solar-powered data center
  • 03Rail-optimized 400G fabric

    A non-blocking network, validated before shipment

    Each server connects through 8 × 400G east-west rails and 2 × 400G north-south links. The network is validated end-to-end, with automated tests and compliance checks, before the container ships.

    8 × 400GRails per server
    See the network architecture

04Deployment

From order to compute in as little as four months.

Integration happens in the UAE, not on your site. What arrives is a tested data center, ready to connect.

  1. Step 01

    Scope and site survey

    We size the deployment around your workloads and assess power, connectivity, access and foundation on site.

  2. Step 02

    Build and integration in the UAE

    Servers, immersion tanks, coolant loops and network are assembled and integrated in the container, and every system is configured, power modules included.

  3. Step 03

    Factory testing and network validation

    Every system is tested. The network is validated end-to-end with AI-driven diagnostics, topology mapping, configuration compliance checks and automated tests.

  4. Step 04

    Transport as a standard ISO container

    The 40ft High Cube ships by road or sea like any ISO container, built to withstand transport and harsh environments.

  5. Step 05

    Plug in and commission

    Power and network are connected, the system is commissioned on site and handed over to 24/7 managed operations.

Indicative sequence. Actual timelines depend on scope, site readiness and logistics.

05Comparison

A container or a conventional build?

Conventional facilities remain the right answer for some programs. For dense AI compute on a deadline, the trade-offs look like this.

  • Time to compute

    BAYWAW AI Container
    In as little as four months from order to operation
    Conventional build
    Typically measured in years from planning to commissioning
  • Energy efficiency

    BAYWAW AI Container
    PUE of 1.05
    Conventional build
    Industry average of roughly 1.5 to 1.6
  • Footprint

    BAYWAW AI Container
    One 40ft ISO container, about 12.2 × 2.4 m, plus its power modules, for a 1.2 MW AI data center
    Conventional build
    A dedicated building with separate electrical and mechanical plant rooms
  • Cooling

    BAYWAW AI Container
    Single-phase immersion removes heat at the source
    Conventional build
    Often air-based; dense AI racks may require liquid-cooling retrofits
  • Location

    BAYWAW AI Container
    Any suitable site: campus, industrial or energy site, edge location
    Conventional build
    Fixed to the site where the building stands
  • Scaling

    BAYWAW AI Container
    Add containers as demand grows
    Conventional build
    Typically new construction phases
  • Delivery

    BAYWAW AI Container
    Pre-integrated, tested and validated before shipment
    Conventional build
    Assembled on site, often across several contractors
  • Operations

    BAYWAW AI Container
    End-to-end managed services, 24/7/365
    Conventional build
    In-house teams or separate service contracts

Industry-average PUE according to the Uptime Institute’s annual Global Data Center Survey.

06Who it’s for

Built for organizations that need AI compute on their own terms.

From national AI programs to research campuses, the same container adapts to very different sites and missions.

Explore solutions by sector
  • National AI capacity on national soil, deployed on a government-controlled site and operated to your security requirements.

  • Dedicated GPU capacity for training and inference, close to your data, without waiting for a new facility to be built.

  • Dense AI compute close to users and networks, housed in a standard shipping container.

  • Turn the power available on your site into AI capacity, whether it comes from the grid, local generation or solar with storage.

  • A complete GPU cluster for research computing, delivered and managed so your teams can focus on the science.

07Managed services

We build it, ship it and run it.

Every BAYWAW AI Container is operated end to end: monitoring, maintenance, security, upgrades and on-site support, with a dedicated account manager as your single point of contact.

Follow-the-sun support
24/7/365
Initial response time
< 15min
Managed service areas
10

Follow-the-sun coverage

UTC offset

  • AmericasUTC −5 to −8
  • EMEAUTC 0 to +3
  • AsiaUTC +8 to +11
  • APACUTC +10 to +13
Regional support coverage by time zone, so an engineer is always on shift.

Included services

  • Server maintenance
  • Upgrades and lifecycle
  • Security patching
  • Component replacement
  • Warranty management
  • On-site support
  • 24/7 monitoring
  • Reporting and insights
  • Data and access security
  • Customer success

08Our heritage

From solar to silicon.

BAYWAW began in solar energy, supplying solar systems for infrastructure projects and trading new and certified second-hand panels. That experience shapes the BAYWAW AI Container: it is energy-agnostic and solar-ready, with an optional solar farm and battery storage feeding its power modules.

Annual energy at a continuous 1.2 MW (approx.)
10.5GWh

Where that energy comes from is a design decision we make with you.

Power chain

  1. Solar farmOptional
  2. Battery storage (BESS)Optional
  3. Power modulesOne active, one on standby
  4. BAYWAW AI Container1.2 MW
Optional power chain: a solar farm charges battery storage, which feeds the power modules of the AI Container.

Sourcing panels for another project? BAYWAW still supplies new and certified second-hand modules.

Solar panel trading

09Insights

Analysis for infrastructure decision-makers.

Guides on containerized data centers, immersion cooling and sovereign AI, written for the people who sign off on them.

10FAQ

Questions buyers ask first.

Short answers to the questions we hear most. For anything specific to your site, book a technical briefing with our engineers.

What is included in the BAYWAW AI Container?

The complete data center: 624 NVIDIA B300 GPUs in 78 Hypertec servers, six single-phase immersion tanks with redundant coolant loops and CDUs, roof-mounted heat rejection, two power modules with N+2 redundancy, and the full GPU, front-end, edge, security and management network. It is pre-integrated, tested and validated before delivery, then operated through end-to-end managed services.

What does our site need to host the container?

In broad terms: a flat, load-bearing foundation or pad for the 40ft High Cube container (maximum gross weight 30,480 kg) and its power modules, an energy source able to carry the 1.2 MW facility load (grid, on-site generation, or solar with battery storage), and network connectivity. Our engineers confirm the exact requirements during the site survey.

How quickly can it be deployed?

From order to operation in as little as four months. The container is built, integrated and tested in the UAE, then ships by road or sea as a standard ISO container. Actual timelines depend on scope, site readiness and logistics.

Can it run off-grid or on solar power?

Yes, with a suitable energy source on site. The container is energy-agnostic: it can draw on the grid, local generation, or an optional solar farm with battery energy storage feeding its power modules. We size the energy system with you, drawing on BAYWAW’s background in solar.

Who operates the data center once it is live?

BAYWAW manages it end to end: 24/7 monitoring, preventive maintenance, security patching, component replacement, warranty management, on-site support and regular reporting. Support follows the sun, 24/7/365, with an initial response in under 15 minutes and a dedicated account manager as your single point of contact.

How do we scale beyond one container?

By adding containers. Each unit is a self-contained 1.2 MW AI data center, so capacity grows in container-sized steps as demand grows, on one site or across several.

Where does our data stay?

On your site. The container is deployed where you choose, including government or enterprise premises, so data and models can remain within your jurisdiction. Next-generation firewalls protect the perimeter, and access control, network security and vulnerability management are part of the managed services.

What workloads is it designed for?

Large-scale AI training, fine-tuning and inference. Each NVIDIA B300 GPU carries 288 GB of HBM3e memory and delivers up to 13.5 PFLOPS of peak FP4 compute, connected by a rail-optimized, non-blocking 400G fabric.

Next step

Sovereign AI compute on your site in as little as four months.

Tell us about your workload, site and timeline. Our engineers typically reply within one business day with a first sizing and the next steps.