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Tuesday, 9 Sep, 20251:00 PM
Following the MLCommons Q3 MLPerf Inference results announcement on the morning of Tuesday 9th September on the keynote stage, MLCommons Founder & Executive Director David Kantar will deliver a detailed analysis of the results followed by a Q&A session from the audience.
David Kanter
Founder & Executive DirectorMLCommonsDavid co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.
2:00 PMFull Stack InfraBeyond Benchmarks to Real Products:
Automatically convert trained AI models into optimized mobile apps, ready to deploy within hours—no app development required.End-to-End Automated Pipeline:
Seamlessly perform AI model conversion, device-specific optimization (NPU/GPU/CPU), and automatic SDK and app template generation (Android, iOS, Flutter).Real-World Impact & Use Cases:
Proven deployments across industries including healthcare and enterprise, delivering immediate value through reduced costs, enhanced data security, and superior real-time performance.
Yeonseok Kim
CEOZeticZETIC.ai
Website: https://zetic.ai/
ZETIC.ai is building the on-device AI ecosystem—empowering AI companies to deploy, optimize, and run their models directly on mobile devices without relying on the cloud. Our core product, ZETIC.MLange, automates the entire on-device AI deployment process: converting, optimizing, global device benchmarking, and packaging models in just 6 hours.
The platform supports diverse mobile hardware environments including NPUs, GPUs, and CPUs, delivering peak runtime performance tailored to each device. Unlike conventional solutions that require months of device-specific engineering or compromise model accuracy, ZETIC.MLange ensures full model fidelity, ultra-low latency, and efficient power usage—ideal for real-time, privacy-sensitive applications.
ZETIC.ai enables AI companies to scale globally without the cost, complexity, or regulatory limitations of cloud infrastructure. By running AI directly on end-user devices, companies can bypass cross-border data concerns and accelerate secure global deployment—making AI truly accessible anytime, anywhere.2:15 PMFuture Technologies Track: Photonics2:30 PMFuture Technologies Track: Photonics2:45 PMFuture Technologies Track: Photonics3:15 PMData Movement & Management Track
Matthew Burns
Global Director, Technical MarketingSamtecMatthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 25 years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. He currently serves as Secretary at PICMG. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.
4:00 PMData Movement & Management TrackUltra Ethernet Consortium
Website: https://ultraethernet.org/
Please visit our website for more information.4:45 PMMemory Innovation Track5:00 PMMemory Innovation Track5:15 PMMemory Innovation Track5:30 PMWomen in AI Panel
Nalini Garg
California State AmbassadorWomen In AINalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.
Ipsita Mohanty
Vice ChairIEEE Women in EngineeringIpsita Mohanty is an accomplished AI Leader and Vice Chair of IEEE Women in Engineering, Santa Clara Valley, Region 6. With over 15 years of experience spanning Salesforce, Goldman Sachs, Walmart Labs, and Amdocs, she has led several impactful AI-driven initiatives, including architecting Salesforce-Tableau Agents and enhancing recommendation systems at Walmart. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University and a Bachelor’s in Computer Science and Engineering from KIIT University. She is also the co-founder of QApp, an AI/ML automation platform empowering freelancers. Winner of several AI Awards and recognized among the Top 100 Women in AI Leaders globally, she actively contributes to AI research and community leadership while championing diversity in technology.
Shweta Behere
Senior Engineering ManagerWorkdayShweta Behere is a Senior Engineering Manager at Workday, where she leads cloud platform engineering teams dedicated to building resilient and scalable systems. She is at the forefront of delivering AI solutions to enhance cloud platform infrastructure and observability. She currently serves as the IEEE Chair for the Women in Engineering Affinity Group for the Santa Clara Valley Section.
With over 18 years of experience, Shweta has made significant contributions to advancing public cloud, storage, and virtualization technologies, resulting in multiple patents and publications highlighting her innovative impact. Her leadership has earned her industry recognition, including being named among the “Top 50 Women of Impact in 2025" by Women Impact Tech and one of the “30 Outstanding Women in Engineering Leadership” by the Women Tech Network for her substantial contributions to the field.
Shweta is passionate about promoting women in engineering fields. As a thought leader, she addresses the challenges of balancing career and parenthood in tech, sharing her insights through articles and panel discussions. Through her mentorship, advocacy, and leadership, Shweta Behere inspires the next generation of technologists, especially women, and actively cultivates a more inclusive and supportive environment.IEEE Women in Engineering
Website: https://wie.ieee.org/
Please visit our website for more information.Women in AI
Website: https://www.womeninai.co/
Women in AI (WAI) is a nonprofit do-tank working towards inclusive AI that benefits global society. We are a community-driven initiative bringing empowerment, knowledge and active collaboration via education, research, events, and blogging.
At Women in AI we empower women and minorities to become AI & Data experts, innovators and leaders. We encourage ethical applications and responsible use of artificial intelligence.
Mission: Women in AI is a community working towards shaping inclusive AI for our common future
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Wednesday, 10 Sep, 20252:00 PMInferencing Innovations
Moshe Tanach
Co-Founder & CEONeuRealityNeuReality
Website: https://www.neureality.ai/
Founded in 2019, NeuReality Ltd. is an AI technology innovation company creating purpose-built AI-platforms for ultra-scalability of real-life AI applications. As artificial intelligence becomes part of the fabric of daily life, deploying AI at scale is one of the biggest technical challenges of the computing industry. NeuReality is the first complete, system-level solution specifically designed to address the challenges of optimizing, deploying, managing, and scaling AI workloads. NeuReality’s revolutionary AI-centric solution – built around the NR1 Network Attached Processing Unit (NAPU) and inference serving building blocks in software – is designed specifically for AI workloads, enabling the scale of real-life AI Applications.
With the NR1 NAPU, our solution reduces the dependencies on CPUs, NICs and PCI-switches, moving simple but critical data-path functions from software to hardware.
With the automatic software tools and SDK we provide toolchain, runtime, orchestration, MLOPs integration and simple UX for data scientists and DevOps to remove barriers in deploying AI
The result is an innovative AI-optimized system that reduces energy consumption, shrinks the data center footprint, and lowers TCO by cutting capital costs.
it’s built from ground up to enable ultra-scalability.
Download the latest case study here: https://www.neureality.ai/casestudies/ai-linear-scalability/
2:15 PMInferencing InnovationsAxelera
Website: https://www.axelera.ai/
Axelera AI is delivering the world’s most powerful and advanced solutions for AI at the Edge. Its industry-defining Metis™ AI platform – a complete hardware and software solution for AI inference at the edge – makes computer vision applications more accessible, powerful and user friendly than ever before. Based in the AI Innovation Center of the High Tech Campus in Eindhoven, The Netherlands, Axelera AI has R&D offices in Belgium, Switzerland, Italy and the UK, with over 170 employees in 18 countries. Its team of experts in AI software and hardware come from top AI firms and Fortune 500 companies.
For more information on Axelera AI, see: www.axelera.ai
3:00 PMIP & EDAArm
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.
3:15 PMIP & EDASemiconductor innovation is at a critical juncture, demanding next-generational methods to overcome rising complexities, shorter design cycles, and intense competitive pressures. Traditional EDA tools are constrained by manual processes and limited intelligence, but what if we could transcend these limitations? Enter AI Agents—the AI solution leveraging large language models and advanced algorithms to continue to improve themselves. In this talk, Mehir Arora, Head of Engineering of ChipAgents, will introduce how AI agents go beyond traditional EDA automation, embedding agentic intelligence capable of independently handling hardware modeling, constraint-solving, automated debugging, testbench generation, and even proactive design optimization. Highlights include Use Cases, Scalability & Reliability: Case studies illustrating substantial productivity improvements, enhanced design quality, and accelerated time-to-market achieved by leading semiconductor enterprises deploying AI Agents. AI Agents in Action: Real-world scenarios demonstrating how AI agents autonomously identify critical bugs, optimize RTL designs, and significantly shorten verification cycles.
Mehir Arora
Founding EngineerChipAgentsMehir 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.
3:30 PMIP & EDASiemens
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.
3:45 PMIP & EDAModerator
Richard Curtin
Managing PartnerSilicon CatalystSilicon Catalyst
Website: https://siliconcatalyst.com/
Please visit our website for more information.4:15 PMFuture Technologies Track: Quantum4:30 PMFuture Technologies Track: Quantum4:45 PMFuture Technologies Track: Quantum5:00 PMAgentic AI Innovations5:15 PMAgentic AI Innovations5:30 PMAgentic AI InnovationsLarge language models can now power capable software agents, yet real‑world success comes from disciplined engineering rather than flashy frameworks. Most reliable agents are built from simple, composable patterns instead of heavy abstractions.
The talk will introduce patterns to add complexity and autonomy only when it pays off. Attendees should leave with a practical decision framework for escalating from a single prompt to multi‑step agents, also keeping in mind guardrails for shipping trustworthy, cost‑effective agents at scale.
Sushant Mehta
Research EngineerGoogle Deepmind
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