AI is proliferating rapidly, fueled by ever-larger models and data sets that are expanding AI use cases and improving its accuracy. Future computing systems are now required to simultaneously deliver high performance, process large amounts of data, and use the least possible energy. The growing energy footprint of AI and the strain it places on the power grid is an increasing concern for companies and even entire countries. This could adversely impact future growth and could slow the semiconductor industry’s march towards $1 trillion in revenue, which is largely driven by AI applications.
This is a formidable challenge that cannot be addressed in silos by individual companies or even industry segments. The SEMI Smart Data-AI Initiative is exploring how to overcome this challenge with collaborative and innovative system-level solutions that connect the dots across the entire AI system stack.
In March 2025, we hosted a successful workshop, bringing together industry leaders across the value chain for a day of thoughtful discussions and knowledge sharing. Building on this foundation, we developed an exciting Smart Data-AI session to be held at SEMICON West in Phoenix, Arizona on October 7 from 10:30 a.m.-4:40 p.m. The “Future of Computing: Energy-Efficient Computing for AI and Beyond” forum will bring together executives and thought leaders across the entire ecosystem – including design, fabrication, interconnects, system integration, hyperscale architectures, advanced materials, and emerging technologies such as photonics and quantum. Attendees will have a unique opportunity to get strategic perspectives from these distinguished experts and learn about exciting future trends.
Why Attend?
- Gain insights from global leaders and learn about innovative paths towards an energy-efficient computing future.
- Network and build cross-industry collaborations for the next wave of AI, photonics and quantum.
- Promote a more sustainable path for continued growth of AI to benefit humanity and the planet.
- Join the SEMI Smart Data-AI initiative to develop solutions and take concrete actions to reduce AI’s growing energy footprint.
- Support the industry in achieving its goal of reaching $1 trillion in revenue.
Speaker Highlights Include:
AMD • Ciena • Hewlett Packard Enterprise • IBM • Merck KGaA, Darmstadt, Germany •
Microsoft • Quantum Economic Development Consortium • Rapidus • Rigetti •
Siemens AG • Stanford University
Dr. Pushkar P. Apte is the Strategic Technology Advisor and leads the Smart Data-AI Initiative at SEMI.
