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AI factories illustration with buidlings, data center racks, cloud-based data transfer lines, keyvisual used for data center use case
REAL-WORLD APPLICATION

Manage Data Center infrastructure for AI workloads

Accelerated computing is driving unprecedented demands in data center scale, density, and complexity. Siemens delivers industrial-grade, integrated solutions engineered to maximize tokens-per-watt and minimize time-to-compute for AI-ready data centers.

Challenge

AI-ready data centers face the "10x challenge" – a tenfold increase in scale, power density, or thermal loads compared to traditional data centers. This changes how we need to design, control and connect these facilities, with a fundamental shift in infrastructure design.

Solution

AI workloads demand a strong, harmonized infrastructure to deliver maximum tokens-per-watt. Siemens leverages decades of industrial and data center experience to develop validated reference architectures, purpose-built for AI workloads and their specific availability, efficiency, and scalability goals. As standardized blueprints, they deliver predictable performance across globally distributed sites.

Extreme power densities

Manage HPC racks exceeding 100 kW with advanced power solutions to get most tokens-per-watt.

Intense thermal loads

Replace air cooling with liquid cooling to ensure thermal stability and efficiency.

Urgent, scalable deployment

Decrease time-to-compute with modular, standardized designs across diverse global sites.

Operational complexity

Integrate and manage intricate systems for massive AI workloads while balancing talent shortage.

Grid constraints

Adopt flexible energy strategies to accelerate grid interconnection and secure required power capacity.

Sustainability and decarbonization

Optimize energy and water use, integrate renewables, and enable AI workloads at massive scale, carbon-aware.

How to get started

As trusted technology partner, Siemens drives innovation and interoperability, helping operators build AI-ready data centers. We focus on integrated, scalable and modular solutions and proven designs that de-risk deployment and can adapt to evolving AI compute needs.

Data centers need a continuous power supply. Their operators should be able to perform retrofits and upgrades without interrupting operations. The LData system from the SIVACON 8PS product family support an easy planning and a rapid installation as well as a flexible and reliable operation. http://www.siemens.com/LData-system

Reliable power distribution

Combine Siemens switchgear, busway and prefabricated modular solutions to deliver high-density power for AI workloads. With dynamic load balancing, power quality insights, critical redundancy, grid interoperability, and upcoming DC and solid-state technology, we cover your power architecture.

Illustration of a liquid cooling solution in a data center including the White Space with Rear Door Heat Exchanger (RDHx) and coolant distribution unit (CDU) and the Grey Space with chiller and cooling tower.

Cooling control & simulation

Integrate liquid cooling with Siemens intelligent valves and actuators to manage high-density loads. Our thermal simulation software helps optimize efficiency based on the fluid/air flows in room, rack and chip. Partners of us support direct-to-chip and rear-door heat exchanger solutions.

Illustration of a data center with redundant automation systems and servers in a room with a red light.

Industrial-grade automation

Connect compute, power and cooling with Siemens PLCs, DDCs and simulation for high availability and fault tolerance. Advanced metering stabilizes power quality and grid risks. Our Integrated Data Center Management Suite unifies BMS, EPMS, SCADA and DCIM in one view for OT operation.

software screenshot of a digital twin simulation, POD room

Digital twin simulations

Siemens digital twins design and test complex scenarios (thermal, power, layouts, logistics) before build‑out to reduce deployment risk and time‑to‑compute. In operation, the executable twin enables ongoing optimization, predictive analytics, and scenario planning for resilient capacity.

An energy‑generation site with power lines, transmission towers, and a nearby solar field on the water, intersected by a small road, overlaid with a digital visualization layer. From the GWS campaign.

Grid connectivity

Siemens advanced control schemes coordinate onsite generation, UPS, storage, and other power infrastructure to unlock energy flexibility. This helps manage load profiles to better align with grid demands, accelerating grid connection and improving operational readiness for AI workloads.

CASE STUDY

Taming GPU power swings

Soluna and Siemens Solve GPU Power Swings for AI

Soluna Holdings is a developer of green data centers for intensive computing applications, including Bitcoin mining and AI. Soluna and Siemens have signed a Memorandum of Understanding (MOU) on Project Grace: on a 2MW pilot site, we will deploy and validate a behind-the-meter power-and-controls approach to capture, monitor and manage rapid, GPU-driven swings in power demand when running AI and high-performance computing workloads directly on renewable energy.

Goal: Creating a repeatable blueprint for future behind-the-meter AI deployments at renewable generation sites.

Siemens portfolio involved:

  • Electrical and mechanical equipment, including transformers, switchgear, power converters, and ancillary systems
  • SICAM SCADA platform for monitoring and control
Read more

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