Soluna Holdings, Inc. has entered into a Memorandum of Understanding with Siemens to tackle the challenge of rapid power fluctuations caused by GPU-intensive AI workloads in behind-the-meter renewable energy environments. The collaboration will launch a 2 MW pilot project at Soluna’s Project Grace site in Texas, aiming to develop a scalable solution for managing sudden spikes in energy demand from AI and high-performance computing. The pilot will integrate Siemens’ advanced electrical infrastructure, control systems, and monitoring technologies, including the SICAM SCADA platform, to test performance under dynamic compute loads. The goal is to create a repeatable, enterprise-grade blueprint for deploying AI workloads directly on renewable energy sources without compromising grid stability or power quality. AI workloads, particularly those driven by GPUs, can cause abrupt changes in power demand that strain local electrical systems—especially when operating off-grid or behind the meter. By leveraging existing renewable generation infrastructure, Soluna and Siemens aim to utilize surplus clean energy that would otherwise go unused, offering a cost-effective and sustainable alternative to traditional grid power. John Belizaire, CEO of Soluna, highlighted the strategic value of the partnership: “One of the biggest challenges to scaling AI is the massive compute power it requires. This project allows us to solve that problem using infrastructure already in place—turning underutilized renewable energy into a powerful resource for AI.” Brian Dula, President of Electrification and Automation at Siemens Smart Infrastructure USA, emphasized the broader vision: “AI is becoming foundational across industries. We’re focused on removing technical barriers so it can scale responsibly. This pilot demonstrates how renewable energy and intelligent infrastructure can be optimized together to power the future of AI.” The project will use Siemens’ full suite of equipment, including transformers, switchgear, power converters, and ancillary systems, to ensure reliability, efficiency, and scalability. Performance data collected during the pilot will inform future deployments at other renewable energy sites. Soluna and Siemens anticipate that the initiative will set a new standard for sustainable, resilient, and efficient AI computing—delivering measurable improvements in grid stability, energy efficiency, and environmental impact. For more information, visit solunacomputing.com.