Why AI’s Limit Is Power, Not Chips: Gopi Sirineni at AI Infra Summit 2026 Power, not chips, has become the limiting factor in the AI buildout, according to Axiado founder, President and CEO Gopi Sirineni, who said at the AI Infra Summit 2026 that the fix lives in the platform management layer rather than better facilities or silicon. Sirineni said Axiado's AI agents running on its Trusted Control Unit (TCU) silicon perform dynamic voltage and frequency scaling (DVFS) and dynamic thermal management in milliseconds with no human in the loop, delivering efficiency gains ranging from 10% out of the box to 30% with tuning. Sirineni argued that managing and securing modern AI infrastructure requires moving away from decades-old legacy management paradigms toward autonomous infrastructure management. A free online environment where users can create, edit, and share electrical schematics, or convert between popular file formats like Eagle, Altium, and OrCAD. schematics.io Find the IoT board you’ve been searching for using this interactive solution space to help you visualize the product selection process and showcase important trade-off decisions. transim.com/iot Transform your product pages with embeddable schematic, simulation, and 3D content modules while providing interactive user experiences for your customers. transim.com/Products/Engage AspenCore Network A worldwide innovation hub servicing component manufacturers and distributors with unique marketing solutions aspencore.com SiliconExpert provides engineers with the data and insight they need to remove risk from the supply chain. siliconexpert.com Transim powers many of the tools engineers use every day on manufacturers' websites and can develop solutions for any company. transim.com A free online environment where users can create, edit, and share electrical schematics, or convert between popular file formats like Eagle, Altium, and OrCAD. schematics.io Find the IoT board you’ve been searching for using this interactive solution space to help you visualize the product selection process and showcase important trade-off decisions. transim.com/iot Transform your product pages with embeddable schematic, simulation, and 3D content modules while providing interactive user experiences for your customers. transim.com/Products/Engage About A worldwide innovation hub servicing component manufacturers and distributors with unique marketing solutions aspencore.com SiliconExpert provides engineers with the data and insight they need to remove risk from the supply chain. siliconexpert.com Transim powers many of the tools engineers use every day on manufacturers' websites and can develop solutions for any company. transim.com "Partner Content" allows today's industry thought leaders to share their unique insight and perspective with the greater ASPENCORE audience. Material published as "Partner Content" was created by or on behalf of ASPENCORE's partner s in conjunction with the ASPENCORE Studio team and may not reflect the views of the site and editors to which it is published.For more information on this program, email support@aspencore.com Power, not chips, has become the limiting factor in the artificial intelligence buildout, according to Axiado founder, President, and CEO Gopi Sirineni. Speaking with EE Times reporter Sally Ward-Foxton at the AI Infra Summit 2026, Sirineni discussed his presentation, “More Tokens Per Dollar: AI-Driven Platform Efficiency Controllers for High-Density AI Racks.” He explained that the solution to data center power constraints lives in the platform management layer rather than better facilities or better silicon. Axiado addresses this through AI agents running on its Trusted Control Unit TCU silicon that sense, decide and act in milliseconds with no human in the loop. Sirineni detailed what Axiado’s dynamic voltage and frequency scaling DVFS and dynamic thermal management agents can accomplish that a modern server cannot do for itself, noting that efficiency gains range from 10% out of the box to 30% with tuning. Sirineni argued that effectively managing and securing modern AI infrastructure requires moving away from decades-old legacy management paradigms toward truly intelligent, autonomous infrastructure management to drive higher efficiency, better security and greater reliability.