-
Download Our Sponsorship BrochureLearn more about how you can partner with the event, and the opportunities available. Based on your objectives, we can create bespoke packages designed specifically for you! -
Download 2024 Sample Attendee ListCheck out the sample attendee list for 2024 to discover the types of attendees we attract to our event and who you can expect to meet, ranging from solution providers, hyperscalers and end-users. -
Meet Our CommunityDownload the Community Brochure to learn more about the people within our network and who you can expect to connect with before, during and after MemCon 2024!
Why Attend
Enterprises can lose track of ownership costs and miss out on their total available compute due to the ‘Memory Wall’ bottleneck and other systems design inefficiencies. MemCon 2024 breaks down these ‘Memory Wall’ and system design issues by putting together internal teams at organizations working with data-intensive workloads, AI vendors, and technology vendors, who are creating next-generation systems and components. MemCon 2024 is a one-stop-shop for emerging technologies in the memory and storage domain, and a hub for efficient data movement and management.
For technology vendors and system designers, MemCon 2024 is a user-centric deep-dive and a recognized launchpad for emerging technologies such as CXL and emerging memories. MemCon 2024 gives technology vendors direct access to meet data practitioners, who are grappling with designing efficient AI/ML systems.
For technology end-users, such as enterprise teams working on large language models (LLMs), or AI vendors that are designing state-of-the-art models, MemCon 2024 provides a platform to meet peers trying to overcome system data movement and management challenges. The conference provides real-world feedback for technology vendors and allows AI vendors and technology end-users to be at the forefront of system design innovation.
What’s in it for you?
- Discover, discuss, and debate data management roadblocks such as data complexities and limitations of traditional system design, enabling you to make critical business and technical-buying decisions about your systems infrastructure in the future.
- Make sense of ownership costs through understanding the intricacies of data management economics and reduce potential trade-offs by recognizing potential workload impacts on system design. Helping inform your understanding of AI/ML’s impact on infrastructure costs.
- Future-proof your data management operations through industry-leading insights from hardware and software architects. Be the first to see new products entering the market that will level up AI/ML deployments and unlock new systems innovation. Learn from the leading startups and connect with future leaders within the space.
- Join a thriving network of systems and AI/ML experts - whether accessing new pools of customers, connecting with potential technology partners, or tackling data issues with peers – the MemCon community is here to help build brand awareness, thought-leadership within the memory and systems markets and help you connect with enterprise-level business leaders.
Featured Speakers Include
Zaid Kahn
Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.
Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.
Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.
Petr Lapukhov
Petr Lapukhov is a Network Engineer at Meta. He has 20+ years in the networking industry, designing and operating large scale networks. He has a depth of experience in developing and operating software for network control and monitoring. His past experience includes CCIE/CCDE training and UNIX system administration.
Helen Byrne
Helen leads the Solution Architects team at Graphcore, helping innovators build their AI solutions using Graphcore’s Intelligence Processing Units (IPUs). She has been at Graphcore for more than 5 years, previously leading AI Field Engineering and working in AI Research, working on problems in Distributed Machine Learning. Before landing in the technology industry, she worked in Investment Banking. Her background is in Mathematics and she has a MSc in Artificial Intelligence.
Tejas Chopra
Tejas Chopra is a Sr. Engineer at Netflix working on Machine Learning Platform for Netflix Studios and a Founder at GoEB1 which is the world’s first and only thought leadership platform for immigrants.Tejas is a recipient of the prestigious EB1A (Einstein) visa in US. Tejas is a Tech 40 under 40 Award winner, a TEDx speaker, a Senior IEEE Member, an ACM member, and has spoken at conferences and panels on Cloud Computing, Blockchain, Software Development and Engineering Leadership.Tejas has been awarded the ‘International Achievers Award, 2023’ by the Indian Achievers’ Forum. He is an Adjunct Professor for Software Development at University of Advancing Technology, Arizona, an Angel investor and a Startup Advisor to startups like Nillion. He is also a member of the Advisory Board for Flash Memory Summit.Tejas’ experience has been in companies like Box, Apple, Samsung, Cadence, and Datrium. Tejas holds a Masters Degree in ECE from Carnegie Mellon University, Pittsburgh.
Puja Das
Jim Handy
Jim Handy of Objective Analysis has over 35 years in the electronics industry including 20 years as a leading semiconductor and SSD industry analyst. Early in his career he held marketing and design positions at leading semiconductor suppliers including Intel, National Semiconductor, and Infineon. A frequent presenter at trade shows, Mr. Handy is highly respected for his technical depth, accurate forecasts, widespread industry presence and volume of publication. He has written hundreds of market reports, articles for trade journals, and white papers, and is frequently interviewed and quoted in the electronics trade press and other media.
