Siemens Smart Infrastructure is expanding the data centre partner ecosystem to scale the next-generation AI infrastructure. It is investing in Emerald AI to “bridge” the gap between AI compute demand and grid constraints through IT/OT convergence, it is planning to integrate Fluence battery energy storage solutions, and it is further collaborating with PhysicsX over AI-accelerated modelling for data centre power infrastructure. This expanded ecosystem aims to bring compute and power flexibility together to accelerate grid interconnection and time to revenue for AI infrastructure operators. The combined capabilities will create flexibility across compute, energy and infrastructure systems, helping data centre operators connect to the grid faster, scale efficiently, and operate reliably in a power-constrained world.
“As demand for AI processing accelerates, data center growth is increasingly constrained by grid capacity and interconnection timelines. Addressing this requires complex coordination across both the digital and energy domains, and scaling AI infrastructure isn’t just a computing challenge, it is equally an energy and infrastructure challenge,” said Ruth Gratzke, President of Siemens Smart Infrastructure US.
Emerald AI enables AI workloads to shift in time and location to align with grid conditions, allowing data center demand to respond dynamically to available power. By coordinating when and where AI workloads run alongside dispatching onsite energy resources, this approach helps smooth peak demand, achieves faster and larger grid connections for data centers, and reduces pressure on constrained power infrastructure.
A key element of this expanded ecosystem is the addition of Fluence’s grid-scale energy storage solutions, designed to support the next generation of high-performance AI data centers. As compute clusters grow in size and density, Fluence energy storage solutions enable data centers to accelerate grid connection by shaping load and coordinating ramp rates, making large AI-scale demand more predictable and easier for utilities to approve.
Siemens is collaborating with PhysicsX to apply physics AI to the design and operation of data center power distribution systems. Using AI models trained on Siemens’ multi-physics simulation data, engineers can predict thermal behavior in complex busway systems in real time. With PhysicsX, simulations that once took days can run in under a second, enabling faster design iteration, optimized infrastructure for dynamic AI workloads, and the foundation for predictive monitoring across entire facilities.
