AMD Advancing AI

Build Without Limits with AWS Cloud infrastructure

Art Baudo
Principal Product Marketing Manager, AWS

Niall Mullen
Senior Director, Cloud Infrastructure Engineering, Netflix

In this session, learn how builders and organizations are using AWS Cloud infrastructure, powered by AMD, to create and run critical applications that meet customer and business needs. Explore AWS innovations, starting from the silicon and extending to data centers across the globe. Discover how AWS can accelerate innovation, improve efficiency, and support global scale for your organization.

Synergistic Acceleration: GPU-CPU and Network Solutions for Scalable AI Clusters

Presenter and Moderator:
Francis Matus, VP of Engineering, AMD Pensando Network Technology Solutions
Kumaran Siva, CVP Server Business Unit, AMD

Panelists: 
Jay Jubran, PhD, IBM Cloud & AI Infrastructure
Ihab Tarazi, SVP and CTO, Dell
Darrick Horton, Co-Founder & CEO, TensorWave

As AI permeates every corner of the Enterprise, the demand for robust AI clusters within data centers has never been more pressing. This session explores how specialized AI clusters are empowering organizations to harness the power of AI for innovation and growth. We'll discuss the roles of GPUs, CPUs, and high-performance networking in forming these clusters and how they address the unique needs of the Enterprise. Francis Matus, VP of Engineering for AMD Pensando Networking Solutions will provide valuable insights on how AMD and its partners are enabling businesses to overcome challenges in AI deployment, driving transformation across industries. The session will also feature a panel discussion, where experts from Dell, IBM, and TensorWave will share their experiences and real-world insights, highlighting the benefits of AMD-powered AI clusters for Enterprise success. Join us as we unravel the synergy between compute resources, networking, and AI, and discover how this integration is paving the way for scalable, efficient, and cutting-edge AI solutions that are propelling Enterprises forward.

Fueling AI Innovation: AMD Instinct™ & ROCm in Action

Anush Elangovan
VP of AI Software Development, AMD

Sudip Roy
Senior Director of Inference, Cohere

Join Anush Elangovan, AMD VP of AI software, for insights on the growing momentum of AMD Instinct™ GPUs and the ROCm™ software stack driving the most advanced AI workloads. Learn about performance, support for models like Llama 4 and DeepSeek, and AMD’s developer-first approach. Also hear real-world results from a leading AI company.

Build for What’s Next in AI

Vik Malyala
SVP, Technology and AI President & Managing Director, EMEA, Supermicro

Darrick Horton, Co-Founder & CEO, TensorWave

Jason Yorn, VP, Global Channel and Alliances, Vultr

Join the Supermicro breakout session with special guest partners as we discuss the future of AI data centers and how Supermicro with AMD are leading rack-scale deployments and building some of the largest, most performant and efficient data centers at scale. Learn about Supermicro’s end-to-end data center solutions, benefits of liquid-cool vs air-cool, and time-to-market advantages for enterprise organizations looking to modernize and maximize their AI infrastructure.

Building the AI-ready Enterprise: Modernizing Your Cloud Infrastructure with AMD

Kevin Cochrane
CMO, Vultr

AI has sparked a tectonic shift in the IT landscape. Beyond core innovations in the GPUs themselves, AI has sparked a need to reinvent the entire application and infrastructure stack.  To build the AI-ready enterprise, a new AI supply chain from centralized platform engineering teams to downstream developers to your end customers is needed to deliver personalized digital services and experiences at scale. In this session, join Vultr to learn how to modernize your cloud infrastructure with AMD EPYC CPUs and AMD Instinct GPUs to build the AI-ready enterprise.

Powering AI at Scale: OCI Superclusters with AMD

Kiran Edara
Vice President Product Management, Compute, Oracle Cloud Infrastructure

Oracle Cloud Infrastructure (OCI) and AMD are advancing the next generation of AI superclusters, delivering breakthrough performance for large-scale AI and agentic workloads. This session highlights the latest innovations in hardware and networking, including high-speed GPU interconnects, advanced RDMA capabilities, and ultra-low-latency, high-bandwidth architectures that far exceed traditional cloud capabilities. Explore how these technologies are unlocking unprecedented scalability, paving the way for Zettascale AI Supercomputers in the cloud and advancing the possibilities of frontier AI.

Workshop 101 (Beginner): Developing AI Agents with AMD GPUs

Workshop 102 (Beginner): Finetuning AI Models

Workshop 201 (Advanced): Optimizing Model Serving with vLLM

Workshop 202 (Advanced): How to Develop Optimized Kernels

The Future of Training and Reinforcement Learning

High Performance AMD GPU Programming with Mojo

Easy, Fast, and Cost-Effective LLM Serving for Everyone

It’s Time for AI-nomics: The CIO Playbook for Hybrid AI

Flynn Maloy
VP & CMO, Lenovo ISG

AI-nomics examines how enterprises invest in AI, overcome challenges, and realize business value. While 50% of organizations have adopted AI, many struggle with unclear ROI. Lenovo's hybrid AI approach delivers AI capabilities to your data across personal, enterprise and public environments while modernizing infrastructure. Join us to explore key findings from IDC CIO Playbook 2025 (based on 3,000 decision makers) and discover Lenovo's trusted enterprise solutions for advancing AI-ready business.

Development to Deployment, Open-Source AI Innovation with Dell Technologies and AMD

Isaac Piñon
Director, Product Marketing CSG Solutions, Dell Technologies

Justin Jones
Product Marketing Manager, AI Solutions, Dell Technologies

Open-source tools are transforming AI, enabling organizations to innovate and collaborate with greater flexibility and accessibility. Dell Technologies’ AMD-powered PCs support AI development and testing, while Dell Technologies’ data center infrastructure and the Dell Enterprise Hub on Hugging Face help deploy optimized models reliably and at scale. Together, Dell Technologies and AMD unlock the full potential of open-source frameworks, driving impact across industries.

Enterprise AI Inference Across the AMD Compute Spectrum - An Uber™ Success Story 

Nav Kanani
Platform Architect, Uber

Ravi Kuppuswamy
SVP Server Product & Engineering, AMD

Inference time and data complexity challenge AI performance and cost. However, the improved accuracy of smaller models and advanced hardware now enable companies to better allocate compute resources and improve throughput. This session explores how compute diversity can meet evolving AI needs, highlighting how Uber has balanced performance and cost to deliver strong user experiences.

The Future of PCs: Scaling Up AI PC in the Enterprise 

Jason Banta
CVP and GM, Client OEM, AMD

Join us for an insightful session on AI PCs and their unique value to enterprises. We'll highlight AMD's investment in this technology and the surrounding software and model ecosystem. Discover new paradigms like local, agentic AI, which enhance workflows and have significant impact potential. Hear partner and customer success stories, real-world examples, and enterprise customer benefits.

Challenges and Opportunities in Large-Scale Training on AMD Instinct MI300X GPUs

Efficient LLM Inference with SGLang

Sam Altman

CEO, OpenAI

Sam Altman is the co-founder and CEO of OpenAI, the AI research and deployment company behind ChatGPT and Sora. Sam was president of the early-stage startup accelerator Y Combinator from 2014 to 2019. In 2015, Sam co-founded OpenAI with the mission to build general-purpose artificial intelligence that benefits all humanity.

Yee Jiun Song

Vice President of Engineering, Infrastructure Foundation, META

Yee Jiun Song serves as Vice President of Engineering at Meta, leading the Infrastructure Foundation organization. In this role, he oversees the strategy and development of Meta's AI, compute, and storage hardware platforms, custom silicon, supply chain operations, and the management of global infrastructure capacity.  

Yee Jiun’s tenure at Meta started in 2010 when he joined the company as a Research Scientist with a focus on improving system reliability and fault tolerance. He later became Vice President of Engineering for the Core Systems organization, where he played a key role in developing the software systems necessary for Meta's services to scale reliably to millions of servers.

Yee Jiun is committed to research and innovation and has published in various academic conferences, including SOSP, OSDI, and ISCA.

Yee Jiun holds a B.S. in Electrical Engineering and Computer Science and a B.A. in Economics from the University of California, Berkeley, an M.S. in Computer Science from Stanford University, and a Ph.D. in Computer Science from Cornell University.

Tareq Amin

CEO, HUMAIN

Tareq Amin is technologist, business leader and entrepreneur with over two decades of leadership experience in technology and telecom industry.

In May 2025, Tareq Amin was appointed Chief Executive Officer of HUMAIN, a full-stack AI company owned by the Public Investment Fund (PIF) and chaired by His Royal Highness, the Crown Prince of Saudi Arabia. Under his leadership, HUMAIN aims to become the region’s leading AI company, delivering AI-native platforms across four integrated layers: AI Infrastructure, AI Cloud, Data & Models, and Applications & Solutions.

Before joining HUMAIN, Amin served as CEO of Aramco Digital, where he led the new Aramco subsidiary in driving digital transformation and advancing strategic innovation across the Kingdom of Saudi Arabia. Prior to that, he launched Rakuten Symphony in August 2021 under the Rakuten Group, aiming to converge IT and telecom networks. As CEO, he spearheaded Symphony’s entry into the mobile market and introduced a large-scale, automation-driven platform for telecom operators worldwide.

In 2022, Amin was also appointed as CEO of Rakuten Mobile to support the growth in Japan and synergize with the global business of the company.

Before 2018, Amin has served Reliance Jio as Senior VP of Technology Development and Automation where he effectively contributed to the transformation of the mobile industry in India. Over the previous year, Amin also served in telecom business as VP of Huawei’s Carrier Solutions and As Senior Director of National Planning & Performance at T-Mobile.

Amin holds a bachelor’s degree in Electrical Engineering and Physics from Portland State University at Oregon.

Amin is a leading voice on the future of technology and a passionate advocate for the democratization of industry. He is committed to transforming how we work, innovate, and collaborate in the era of artificial intelligence.

Mahesh Thiagarajan

Executive Vice President, Oracle Cloud Infrastructure (OCI)

Mahesh Thiagarajan is the Executive Vice President of Oracle Cloud Infrastructure (OCI), where he leads the development and operation of OCI’s core infrastructure services, including Compute, Networking, Storage, Hardware, Data Centers, and Supply Chain. He is dedicated to building and scaling a secure, high-performance, and resilient cloud infrastructure to meet the needs of enterprises worldwide.

As an early member of the team that launched Oracle Cloud Infrastructure in 2016, Mahesh has played a pivotal role in shaping its growth and innovation. He has led multiple organizations within OCI, launching a range of products and platforms across security, developer experience, databases, and big data services. Under his leadership, OCI has consistently delivered on its promise of a distributed, enterprise-grade cloud platform that empowers customers to innovate and achieve greater efficiency.

Prior to joining Oracle, Mahesh was a founding member of the Azure IaaS Platform at Microsoft, where he contributed to building the foundational layers of Microsoft’s cloud offering.

Eric Boyd

Corporate Vice President, Azure AI Platform, Microsoft

Eric Boyd leads the global AI Platform engineering team within Microsoft’s CoreAI division – a team whose mission is to empower every developer to shape the future with AI. The team manages the deployment and optimization of a broad selection of best-in-class foundation and open-source Generative AI models that support diverse workloads. Eric’s oversight includes development of products, tools and services that empower enterprises to scale transformative AI initiatives with Azure OpenAI service, Azure Machine Learning, AI Services (like Speech, Language and Vision), Azure AI Search, Model Customization, and Responsible AI. His purview also includes live-site internal platforms that provide data, experimentation, and Graphics Processing Units (GPU) cluster management.

During his tenure at Microsoft, Eric has created success in several roles, leveraging his innate talent to inspire and engage team members at every level. He joined the company in 2009 to create the Silicon Valley Search Ads team. He moved to Washington in 2011 to lead the Bing Ads Development team prior to taking on his current role in 2015.

Before coming to Microsoft, Eric was the VP of Engineering at Mochi Media, an ads startup that was acquired by Shanda Games. Prior to Mochi Media, he was a VP of Platform Engineering at Yahoo for ten years.

Eric graduated from the Massachusetts Institute of Technology with a bachelor’s degree in Computer Science. He is an avid skier, Seattle Seahawks and Boston Red Sox fan, and a semi-retired professional blackjack player.

Chris Wright

Chief Technology Officer and Senior Vice President, Global Engineering, Red Hat

Chris Wright is Chief Technology Officer and Senior Vice President of Global Engineering at Red Hat. He leads a team that guides Red Hat’s technology vision, co-creates technologies, and collaboratively implements change to ensure the success of Red Hat’s ecosystem of associates, customers, communities, and partners. He is passionate about open source software serving as the foundation for next-generation IT systems.

Wright’s Global Engineering organization includes: AI Engineering, Ecosystem Engineering, Experience Engineering, Field CTO organization, Offi ce of the CTO, Product Engineering, and Product Security.

During his 25+ years as a software engineer, Wright has worked in the telecommunications industry and beyond on high-availability and distributed systems. He also has experience in the Linux® industry on security, virtualization, and networking. Wright has been a Linux developer for more than 15 years, with most of this time spent working deep in the Linux kernel.

Aidan Gomez

CEO, Cohere

Aidan Gomez is co-founder & CEO at Cohere, the security-first enterprise AI company. Prior to Cohere, Aidan worked at Google Brain, where he co-authored the paper “Attention is All You Need,” which introduced the groundbreaking Transformer architecture for large language models (LLMs). He also collaborated with a number of AI luminaries, including Geoffrey Hinton and Jeff Dean, during his time at Google Brain, where the team focused their efforts on large-scale machine learning. Aidan also sits on the Board of Directors for Rivian. Based in Toronto and London, Aidan holds a B.S. in Computer Science from the University of Toronto, and a PhD in Computer Science from the University of Oxford. 

Nick Kucharewski

Senior Vice President & General Manager, Network Switching and Cloud Platform Business Units, Marvell

As Senior Vice President and General Manager of the Network Switching Business Unit, Nick is responsible for the company’s terabit-class switch silicon and software for AI and cloud data center applications. Additionally, Nick oversees the Cloud Platform Business Unit which focuses on system-level technology and vertical innovation spanning the Marvell Cloud Data Center product lines. This includes the company’s integrated DCI optical module business and co-package optics platform. 

He joined Marvell in 2023 from Qualcomm where he served as Senior Vice President & General Manager of Wireless Infrastructure & Networking. Before this, Nick was a member of the executive team at Rockley Photonics, a startup focused on co-packaged optics.

Previously, Nick spent more than 10 years at Broadcom, most recently as Vice President of Product Management for Switching. There he directed the company’s switch silicon roadmap spanning five generations of cloud switching products. Nick also worked at Applied Micro (AMCC) as an Engineering Manager. Nick came to Applied Micro through its acquisition of network processor pioneer MMC Networks in 2000.

Nick holds a B.S. and M.S. in Electrical Engineering from Stanford University. He has been awarded multiple US patents and has authored technical publications in the field of Networking and Optics.

Jitendra Mohan

CEO & Co-Founder, Astera Labs

Jitendra co-founded Astera Labs in 2017 with a vision to remove performance bottlenecks in data-centric systems. Jitendra has more than two decades of engineering and general management experience in identifying and solving complex technical problems in datacenter and server markets. Prior to Astera Labs, he worked as the General Manager for Texas Instruments’ High Speed Interface Business and Clocking Business. Earlier at National Semiconductor Corp, Jitendra led engineering teams in various technical leadership roles. Jitendra holds a BSEE from IIT-Bombay, an MSEE from Stanford University and over 35 granted patents. In addition to work, Jitendra enjoys outdoor activities and reading about the origins of the Universe.

Andrew Ng

Founder, DeepLearning.AI
Executive Chairman, Landing AI

Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.

Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.

As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.

Ashish Vaswani

Founder and CEO, Essential AI 

Dr. Ashish Vaswani is a Computer Scientist and Co-Founder and CEO of Essential.ai. In a scientific career spanning over a decade, he has made several important contributions to Deep Learning and AI. In the seminal paper "Attention is all you need," he co-invented the Transformer model, a vital component of modern AI systems. His work on Language Models in 2013 was among the first successful results of deep learning in language processing. His work, across fields from language to biology, has over 200,000 citations. He got his PhD in Computer Science at the University of Southern California. After 7 years in academia and Google Brain, he co-founded Adept AI Labs, the first company to democratize AI tool use. At Essential, Dr. Vaswani is pushing a new frontier for AI models with an Open Science philosophy.