Industry 4.0 + IIoT
Partnerships to scale next generation AI infrastructure
A s AI drives unprecedented demand for data centre capacity, the industry faces a growing challenge in aligning rapidly expanding compute infrastructure with available power. To address this, Siemens Smart Infrastructure is expanding its data centre ecosystem through strategic investment in and partnership with Emerald AI, alongside the integration of Fluence battery energy storage solutions, and collaborative physics-based AI modelling with PhysicsX. Together, these capabilities create flexibility across compute, energy, and infrastructure systems, helping data centre operators connect to the grid faster, scale eiciently, and operate reliably in a power-constrained world. “Scaling AI infrastructure is as much a computing challenge as it is an energy and infrastructure challenge,” said Ruth Gratzke, President of Siemens Smart Infrastructure US. “As demand for AI processing accelerates, data centre growth is increasingly constrained by grid capacity and interconnection timelines. Addressing this requires complex coordination across the digital and energy domains. Siemens is investing in key technologies and partnerships to expand the ecosystem required to scale AI responsibly and support the next generation of data centre infrastructure.” Managing AI workloads dynamically Emerald AI enables AI workloads to shi¡ in time and location to align with grid conditions, allowing data centre demand to respond dynamically to available power. By coordinating when and where AI workloads run and dispatching on-site energy resources, this approach helps smooth peak demand, achieves faster and larger grid connections for data centres, and reduces pressure on constrained power infrastructure. Siemens’ strategic investment in Emerald AI strengthens its ability to introduce flexibility at the compute layer. Combined with Siemens’ expertise in power infrastructure and operational technology, this
can turn power-constrained locations into viable data centre sites and accelerate time to power, which can enable deployment of energy storage in months, rather than years of grid upgrades. Fluence’s en- ergy storage solutions can also provide dispatchable, on-site power which can enable data centres to operate during grid build-outs, ca- pacity shortfalls, or outages. By supporting consistent power quality and flexible scaling, Fluence can help data centre operators bring ca- pacity online faster while maintaining the reliability required for mis- sion-critical AI workloads. Strengthening this ecosystem further, Siemens is collaborating with PhysicsX to apply physics AI to the design and operation of data centre power distribution systems. Using AI models trained on Siemens’ multi-physics simulation data, engineers can predict thermal behaviour in complex busway systems in real time. With PhysicsX, simulations that once took days can run in under a second, enabling faster design iteration, optimised infrastructure for dynamic AI workloads, and providing a foundation for predictive monitoring across facilities. Physics AI enables faster design, optimised infrastructure The rapid growth of AI will continue to place new and o¡en highly dynamic demands on power systems, with large training and inference clusters creating rapidly shi¡ing loads that challenge traditional grid planning and data centre design. As a result, operators must find new ways to manage these demands while maintaining the performance and reliability required for AI infrastructure. Siemens’ expanded ecosystem is designed to help address this challenge by bringing together AI workload orchestration, grid-integrated energy systems, and AI-optimised physical infrastructure to support the next generation of AI infrastructure.
For more information visit: www.siemens.com
creates true IT/OT convergence between AI workloads and power systems. Energy storage solutions on-site A further key element of this ex- panded ecosystem is the addition of Fluence’s grid-scale energy storage solutions, designed to support the next generation of high-performance AI data centres. As compute clusters grow in size and density, Fluence energy stor- age solutions enable data centres to accelerate grid connection by shaping load and coordinating ramp rates, making large AI-scale demand more predictable and easier for utilities to approve. This
Building an ecosystem for next-generation AI infrastructure.
MAY 2026 Electricity + Control
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