Hyperscalers at the AI Hardware & Edge AI Summit
The AI Hardware & Edge AI Summit welcomes hyperscaler companies from across the globe, with leading executives from all 4 hyperscalers presenting on the stage.
- 35% of our audience is enterprise - meet, engage and network with your customers.
- Stay on top of the market and your competitors in the hyperscaler presentations.
- Learn what enterprise end-users are finding challenging through industry specific use cases.
Your Relevant Speakers Include...
Partha Ranganathan
Parthasarathy (Partha) Ranganathan is currently a VP & Engineering Fellow, Google where he is the area technical lead for hardware and datacenters, designing systems at scale. Prior to this, he was a HP Fellow and Chief Technologist at Hewlett Packard Labs where he led their research on systems and data centers. Partha has worked on several interdisciplinary systems projects with broad impact on both academia and industry, including widely-used innovations in energy-aware user interfaces, heterogeneous multi-cores, power-efficient servers, accelerators, and disaggregated and data-centric data centers. He has published extensively (including being the co-author on the popular "Datacenter as a Computer" textbook), is a co-inventor on more than 100 patents, and has been recognized with numerous awards. He has been named a top-15 enterprise technology rock star by Business Insider, one of the top 35 young innovators in the world by MIT Tech Review, and is a recipient of the ACM SIGARCH Maurice Wilkes award, Rice University's Outstanding Young Engineering Alumni award, and the IIT Madras distinguished alumni award. He is one of few computer scientists to have his work recognized with an Emmy award. He is also a Fellow of the IEEE and ACM, and has also served on the board of directors for OpenCompute.
Bratin Saha
Dr. Bratin Saha is the Vice President of Machine Learning and AI services at AWS where he leads all the ML and AI services and helped build one of the fastest growing businesses in AWS history. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD Computer Science), and Indian Institute of Technology (BS Computer Science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals. Prior to Amazon he worked at Nvidia and Intel leading different product groups spanning imaging, analytics, media processing, high performance computing, machine learning, and software infrastructure.
Dan Rabinovitsj
Dan has 30+ years’ experience in developing technology that connects people, with a particular focus on market disruption and innovation. Dan has served in executive leadership roles in Silicon Labs, NXP, Atheros, Qualcomm, Ruckus Networks and Facebook/Meta. Dan joined Meta in 2018 to lead Facebook Connectivity, a team focused on bringing more people online at faster speeds and changing the telecom industry through the Telecom Infra Project. Dan is now supporting a team developing and sustaining data center hardware and AI systems.
Zaid Kahn
Zaid is currently a VP in Microsoft’s Silicon, Cloud Hardware, and Infrastructure Engineering organization where he leads systems engineering and hardware development for Azure including AI systems and infrastructure. Zaid is part of the technical leadership team across Microsoft that sets AI hardware strategy for training and inference. Zaid's teams are also responsible for software and hardware engineering efforts developing specialized compute systems, FPGA network products and ASIC hardware accelerators.
Prior to Microsoft Zaid was head of infrastructure at LinkedIn where he was responsible for all aspects of architecture and engineering for Datacenters, Networking, Compute, Storage and Hardware. Zaid also led several software development teams focusing on building and managing infrastructure as code. This included zero touch provisioning, software-defined networking, network operating systems (SONiC, OpenSwitch), self-healing networks, backbone controller, software defined storage and distributed host-based firewalls. The network teams Zaid led built the global network for LinkedIn, including POP's, peering for edge services, IPv6 implementation, DWDM infrastructure and datacenter network fabric. The hardware and datacenter engineering teams Zaid led were responsible for water cooling to the racks, optical fiber infrastructure and open hardware development which was contributed to the Open Compute Project Foundation (OCP).
Zaid holds several patents in networking and is a sought-after keynote speaker at top tier conferences and events. Zaid is currently the chairperson for the OCP Foundation Board. He is also currently on the EECS External Advisory Board (EAB) at UC Berkeley and a board member of Internet Ecosystem Innovation Committee (IEIC), a global internet think tank promoting internet diversity. Zaid has a Bachelor of Science in Computer Science and Physics from the University of the South Pacific.
Gerald Friedland
Dr. Gerald Friedland is a Principal Scientist at AWS working on Low-Code, No-Code Machine Learning. Before that he was CTO and founder of Brainome, a no-code machine learning service for miniature models. Other posts include UC Berkeley, Lawrence Livermore National Lab, and the International Computer Science Institute. He was the lead figure behind the Multimedia Commons initiative, a collection of 100M images and 1M videos for research and has published more than 200 peer-reviewed articles in conferences, journals, and books. His latest book "Information-Driven Machine Learning" was released by Springer-Nature in Dec. 2023. He also co-authored a textbook on Multimedia Computing with Cambridge University Press. Dr. Friedland received his doctorate (summa cum laude) and master's degree in computer science from Freie Universitaet Berlin, Germany, in 2002 and 2006, respectively.
Manoj Wadekar
Addressing Your Objectives
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Meeting and engaging with enterprise customers
- 35% of our audience is enterprise of all indsutries (pharma, banking, retail, automotive etc.), with networking opportunities available such as the Opening Gala, roundtables, Q&As in keynotes and our pre and post event networking app.
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Showcasing the latest products to establish position as market leader
- The keynote sessions will be attended by over 1,000+ leading AI experts, providing a strong thought leadership opportunity.
- Opening Gala - hosting a room full of profiled buyers, as attendees can see what the other hyperscalers are doing.
- All 4 major hyperscaler companies are present on programme across 3 days - hear different perspectives on their journeys.
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Keeping abreast of up and coming start ups, new industry developments and trends
- Visit the 'Next Generation AI Village' and expanded expo hall to meet up to 100 vendors. Network, view product launches and witness demos first hand to keep up to speed with the latest in tech services.
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