Uvation

Uvation Uvation powers enterprises with GPUs, AI Servers, and HPC Computing designed for scale, speed, and security. Welcome to Uvation's official page!

Uvation is an American Information Technology and consulting company headquartered in Buffalo, New York. With a global footprint, we have extensive knowledge and expertise in IT services and solutions including Applications Development, Business Intelligence, Cloud Computing, Enterprise Services, Technology Infrastructure, Web Interactive services and many other industry solutions. This page serves as a source for news update and as an open community for our employees, customers, investors, and partners and anyone else who is interested in Uvation. Please be aware that postings to the Uvation facebook are not representative of the opinions of Uvation.

11/02/2026

When a coolant reading changes, your team needs more than an alarm. They need to know whether the fluid has changed, whether the sensor needs attention and what action is appropriate for that cooling loop.

That starts during design. Sensors need accessible locations for cleaning and calibration, samples need to represent the circulating fluid, and alarm thresholds need to match the coolant chemistry. October testing across four coolant formulations showed why the same measurement can tell different stories in different fluids.

Uvation brings cooling design and managed operations together, so monitoring, sampling, sensor maintenance and escalation can be agreed before handover. Planning a liquid-cooled deployment? Talk to us about giving your team a cooling system with a practical operating plan behind it.

10/31/2026

Your next racks could push the facility past its power budget even when there’s space to install them. Before sizing the expansion, it’s worth checking how much power the cooling and electrical systems need to support that additional IT load.

Here’s an illustrative comparison: at 10 MW of total facility draw, a PUE of 1.50 supports around 6.67 MW of IT load. At 1.20, it supports 8.33 MW. That difference gives the engineering team a reason to examine cooling controls, pump and fan demand, and electrical losses alongside hardware selection.

Uvation brings those decisions into one design. We evaluate the planned computing load and supporting systems together, including how they should perform at partial load and during hot weather.

Planning another deployment? Talk to Uvation about how much IT capacity your power budget could support with the right facility design.

10/28/2026

An industrial site can have a substation, nearby fiber and room for equipment without having a clear path to becoming an AI factory. For the engineering team assessing it, the question is how much of that existing infrastructure can support the proposed facility and what needs to change.

EPA guidance recognizes industrial brownfields as candidates for data-center redevelopment. Turning that opportunity into a workable design starts with checking the details: confirmed electrical capacity, a practical fiber connection route, ground conditions, and any cleanup obligations that affect where and how you can build.

Those findings need to shape the same plan. Power availability informs the compute capacity you can support. Cooling and electrical equipment need space and maintenance access. Ground conditions can affect equipment placement and cable routes. Assessing these requirements together gives your team a clearer basis for defining the build.

Uvation brings facility engineering, power, GPUs, cooling, networking and 24/7 managed operations into that assessment. The result is a development scope that connects the site’s existing assets with the infrastructure required to operate an AI factory.

Talk to us about turning your industrial site into a practical AI infrastructure project.

10/26/2026

A good land deal can leave your engineering team with an expensive problem: making the required AI capacity fit a site that cannot support it on schedule. Electrical upgrades, cooling layouts and fiber connections all need to be understood before the property decision is made.

Uvation brings facility engineering and hardware selection into that assessment together. Confirmed power availability, space for supporting equipment, network routes and maintenance access shape the plan around the system your team will need to operate.

A September property analysis describes a former telecom site with a 40 MW substation and utility approval to expand to 80 MW. The buyer demolished the existing data center, showing how the site's power infrastructure could matter more to the development decision than the building already there.

For your project, the outcome should be a defined scope: what can be reused, what needs to be built and how expansion would work. Uvation connects that scope with 24/7 managed operations. Talk to us about assessing your next site against the AI infrastructure you intend to deploy.

10/23/2026

A new accelerator system can fit your workload and still require substantial changes to your data hall. Available power at the rack, cooling connections, equipment clearances and cable routes all affect how much work it takes to install and operate it.

For the engineering team, those details belong in the original design. Can electrical distribution support a denser configuration? Is there room for additional cooling equipment? Can you bring in new racks and connect them while maintaining access to the systems already running? Answering those questions early gives your team more options when the next deployment comes around.

Uvation brings hardware selection, facility engineering and managed operations into the same plan. We connect the requirements of your initial deployment with realistic expansion scenarios, helping you identify where spare capacity, reserved space or adaptable connections would serve a useful purpose.

That makes it easier to evaluate new hardware against a defined upgrade path. Your team can assess what the facility already supports, what needs to change and how the installation would be managed.

Talk to Uvation about designing an AI factory around your first deployment and the hardware choices you want to preserve.

10/21/2026

Dedicated generation changes how you design and operate an AI facility. The power plant’s output, the GPU cluster’s demand, the cooling load and the maintenance plan all need to work together. Those requirements shape both the investment and the engineering scope.

An October analysis of Japan’s data-center market concludes that on-site cogeneration could improve project returns by enabling earlier operation. For the engineering team, that raises practical questions: how much power reaches the IT equipment, what happens during generator maintenance, and how will commissioning align with each phase of hardware deployment?

Uvation’s autonomous AI factory model integrates dedicated on-site nuclear microreactors with the infrastructure they are designed to power. Electrical distribution, GPUs, cooling, networking, and 24/7 managed operations can be planned together, with nuclear approvals and deployment timelines incorporated into the development schedule.

That gives your team a coordinated basis for specifying the facility and its operating requirements. Talk to Uvation about planning dedicated power and your AI factory as one complete infrastructure project.

10/19/2026

Sizing an AI facility’s power supply means understanding when loads peak, how quickly demand changes and which services need continuous capacity. Those details determine what the electrical system and operations team need to handle.

Data centers surveyed by EPRI identified potential peak-power reductions of 10–30%, depending on facility type. For your environment, that could mean using batteries to cover a short demand peak or moving a batch job within its permitted completion window while keeping customer-facing workloads running.

The engineering needs to support those decisions. Battery output and runtime must match the intended duty, with sufficient reserve for backup requirements. Controls need defined operating limits, and the team needs procedures for initiating an adjustment, monitoring its effect and returning to normal operation.

Uvation brings power-system engineering, GPU infrastructure and 24/7 managed operations into the same scope. That allows flexibility to be designed around the workloads, supported by the installed equipment and assigned to an accountable operating team.

Talk to Us about building power flexibility into your AI facility’s electrical design and operating plan.

10/16/2026

A large central GPU cluster and smaller facilities near your operating sites can serve different parts of the same infrastructure plan. The engineering question is which workloads benefit from concentrated capacity and which benefit from being closer to the systems and people they support.

A manufacturer could keep model training at a central campus while processing production data beside individual plants. A regional provider could deploy capacity closer to customers, shortening network paths for time-sensitive services. Each facility needs compute, storage and connectivity sized for its role, with clear operating responsibilities across the wider environment.

Uvation’s autonomous AI factory model brings dedicated on-site nuclear microreactactors into that design, pairing compute with behind-the-meter generation designed for grid-independent operation. Nuclear deployment is planned around site-specific approvals and delivery timelines, so power and computing capacity can be evaluated together.

Uvation integrates GPUs, power, cooling, fiber connectivity, security and 24/7 managed operations. Our modular approach supports repeatable deployments across locations, with engineering that accounts for each site’s requirements.

Talk to Uvation about connecting central capacity with smaller AI factories where your operations need them.

10/14/2026

A failed optical component is already a maintenance job. Discovering that replacing it requires removing a larger assembly, disconnecting adjacent links or moving workloads makes that job considerably harder. Your team needs to know the repair scope before the equipment is ordered.

As optics move closer to networking chips, check exactly what is replaceable in the selected system. Can you reach and exchange the part independently? Does replacement require a shutdown, specialist tools or supplier intervention? Which checks confirm the repaired connection is ready to carry workloads again?

Uvation brings hardware selection and managed operations into the same design discussion, so replacement procedures, spare compatibility and physical access can be reviewed alongside performance. Define who performs the work and what must be available on site while those requirements can still shape the configuration.

Bring us your next AI network expansion. Talk to Uvation about infrastructure your team can maintain with clear procedures, planned spares and accountable operational support.

10/09/2026

2 a.m. in the GPU hall. A training run is 6 days in. The servers are patched and the network is locked down. Then a cooling setpoint changes on a building controller that sits on a facilities network, under a vendor’s remote-access account.

The pumps slow and the racks heat up. The cluster throttles, then shuts down. About a third of data center cooling systems sit 1 hop away from an internet-exposed system, so this path into your AI services is real.

Cooling, physical access, and environmental monitoring keep your AI factory running. They belong in the same security scope as the compute they protect. Uvation inventories those control systems, separates their networks, defines who can reach them remotely, and gives each one an accountable operating owner.

Talk to us about bringing facility controls and AI infrastructure into one accountable security and operating scope.

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