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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.

Author:

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.

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.

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.

Author:

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. 

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. 

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.

Author:

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.

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.

Outdated x86 CPU/NIC architectures bottleneck AI's power, limiting true Generative AI potential. NeuReality's groundbreaking NR1® Chip combines entirely new categories of AI-CPU and AI-NIC into one single chip, fundamentally redefining AI data center inference solutions. It solves these bottlenecks, boosting Generative AI token output up to 6.5x for the same cost and power versus x86 CPU systems, making AI widely affordable and accessible for businesses and governments. It works in harmony with any AI Accelerator/GPU, maximizing GPU utilization, performance, and system energy efficiency. Our NR1® Inference Appliance, with its built-in software, intuitive SDK, and APIs, comes preloaded with out-of-the-box LLMs like Llama 3, Mistral, DeepSeek, Granite, and Qwen for rapid, seamless deployment with significantly reduced complexity, cost, and power consumption at scale.

Author:

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.