Hyperscalers at the AI Infra Summit
The AI Infra 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.
Download the Hyperscalers Insights Report
“Microsoft is exploring fine-grained power management by monitoring and throttling inference workloads to increase server density.”
“AWS offers multiple entry points to the generative AI journey, from SageMaker for model building to Bedrock for easy integration and Amazon Q for no-code application development.”
“Meta is focusing on three areas to improve reliability: avoidance (reusing proven hardware designs), detection (pre-flight checks), and tolerance (reducing restart times).”
Previous Relevant Speakers Included...
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
What Will Hyperscalers Gain from the AI Infra Summit?
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Keep Up with Competitor Innovations
With VP & C-Suite speakers from all 4 US hyperscalers on our programmes, stay informed on the latest developments in cloud, edge, AI infrastructure, and data center design, allowing you to track various competitor progress at one comprehensive event.
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Connect with Key Partners
Meet partners across all AI infrastructure sectors, from bell weather brands to the hottest startups coming out of stealth, covering interconnect, cooling, power, memory, networking, storage, edge, hardware, and many more spaces.
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Engage with Enterprise Customers
Find current and prospective enterprise customers from multiple industries, showcase your solutions, and understand the challenges of the 35% of our audience who stem from cross-sector enterprises.
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Comprehensive Learning Environment
Access multi-track conference sessions tailored to the interests of numerous AI infrastructure teams and participate in a series of hands-on developer workshops from leading infrastructure players to build practical skills for you and your colleagues. (Previous workshops have been hosted by Intel, SambaNova, AMD, and more)
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