Cadence
Website: https://www.cadence.com/en_US/home.html
Cadence’s goal is to empower engineers at semiconductor and systems companies to create innovative, intelligent, and highly differentiated electronic products that transform the way people live, work, and play. The company’s Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to systems—in AI, IoT, mobile, 5G, consumer, cloud, data center, automotive, aerospace, and other market segments. Cadence offers specialized IP with industry-leading performance, power efficiency, and interconnects, as well as AI-specific verification and implementation solutions. The company also employs machine learning within its tools and solutions to enable the best power, performance, and area (PPA), quality of results (QoR), and time-to-market (TTM) benefits.
Revterra’s Kinetic Stabilizer is engineered to handle the massive and volatile power swings demanded by large-scale AI workloads. AI is bottlenecked by infrastructure and requires a rapidly scalable, high-performance power quality solution that can be deployed without fear of supply chain disruption. Our battery-free technology provides a stable bridge between the grid and AI loads with a physically instantaneous, passive response—no power electronics required. Unlike conventional solutions, the Kinetic Stabilizer offers unmatched cost-effectiveness on a per-kW basis and a functionally infinite cycle life, free from the constraints of chemical storage.
Ben Jawdat
Founder & CEO
Revterra
Ben Jawdat is the founding CEO of Revterra, where he is working to commercialize a kinetic stabilizer solution to solve power quality challenges at AI datacenters and other commercial/industrial sites. Prior to starting Revterra, he worked on the development of new superconducting materials at the University of Houston where he received his PhD in physics, and completed postdoctoral studies at the Air Force Research Laboratory and Rice University.
Flexnode
Website: https://flexnode.io/
Flexnode designs, builds, and operates high density, rapidly-deployed, scalable modular data centers purpose-built for today and tomorrow’s most complex IT projects. Supporting 150kW+ racks, Flexnode’s data centers are AI-ready, specifically designed for today’s leading chipsets (i.e., NVIDIA GB200/B300, AMD MI355X) and future developments. Flexnode works closely with our clients to configure modular solutions to meet their exact needs. In addition, Flexnode works closely with all major hardware, cooling, and networking providers, giving its clients optionality while also ensuring solutions are precisely configured to optimize their IT initiatives. Flexnode’s modular design enables deployments from 1MW to 300MW+, reduces design-build time and construction material waste, while delivering industry-leading rack densities, PUE and resiliency. With densities increasing significantly, Flexnode’s modular design is a fast, reliable, and cost-effective way to deploy both today and tomorrow’s chipsets without sacrificing capex, power, space, or operability. In collaboration with best-in-class data center design, engineering, and construction partners, Flexnode delivers on projects ranging from 50kW to 1MW racks, to underpin vital AI initiatives globally.
Siemens
Website: https://eda.sw.siemens.com/en-US/
Siemens is rapidly expanding our number one position in digital industrial software to enable our customers to swiftly advance in their digital transformation. With the un-matched breadth and depth of the Siemens Xcelerator portfolio, Siemens is enabling customers to leverage AI to break down the barriers between their electrical, mechanical and software design silos, between their design, manufacturing, and ERP silos within all markets. It enables customers to bridge the virtual and physical design and manufacturing worlds, empowering customers to rapidly evolve from systems to market-leading ecosystems companies so they can leverage AI to engineer a smarter future faster – and deliver smart products, factories, infrastructure, and cities – for us all.
Moderator
Richard Curtin
Managing Partner
Silicon Catalyst
Silicon Catalyst
Website: https://siliconcatalyst.com/
Please visit our website for more information.Semiconductor development faces increasing complexity, faster timelines, and fierce competition, exposing the limitations of traditional EDA tools. In response, AI Agents, powered by LLMs and advanced algorithms, are emerging as next-gen solutions. This session explores how these agents surpass conventional automation by independently managing tasks like hardware modeling, constraint solving, debugging, testbench creation, and design optimization. We'll cover real-world use cases showing how AI Agents deliver improved productivity, design quality, and time-to-market, including their ability to autonomously detect bugs and optimize RTL designs.
Mehir Arora
Founding Engineer
ChipAgents
Mehir Arora is a founding engineer at ChipAgents, a company at the forefront of integrating agentic AI into Electronic Design Automation (EDA) workflows. Graduated from UC Santa Barbara, Mehir has contributed to advancing state-of-the-arts in AI methodologies, including a paper presented at ICML 2024. At ChipAgents, he focuses on developing agentic AI tools that enhance chip design and verification processes, aiming to significantly improve efficiency and productivity in semiconductor engineering.
Arm
Website: https://www.arm.com/markets/artificial-intelligence
Arm is the industry’s highest-performing and most power-efficient compute platform with unmatched scale that touches 100 percent of the connected global population. To meet the insatiable demand for compute, Arm is delivering advanced solutions that allow the world’s leading technology companies to unleash the unprecedented experiences and capabilities of AI. Together with the world’s largest computing ecosystem and 20 million software developers, we are building the future of AI on Arm.
AI inference costs are high and workloads are growing, especially when low latency is required. We demonstrate NorthPole's energy efficiency and high throughput for low-latency edge and datacenter inference tasks.
John Arthur
Principal Research Scientist
IBM
John Arthur is a principal research scientist and hardware manager in the brain-inspired computing group at IBM Research - Almaden. He has been building efficient and high-performance brain-inspired neural network chips and systems for the last 25 years, including Neurogrid at Stanford and both TrueNorth and NorthPole at IBM. John holds a PhD in bioengineering from University of Pennsylvania and BS in electrical engineering from Arizona State University.
Google Cloud provides leading infrastructure, platform capabilities, and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries use Google Cloud as their trusted partner to solve their most critical business problems.