MemCon 2024, happening March 26-27, is a cutting-edge event focused on systems design within the data-centric era.

With over 500 in-person attendees and 35 industry-leading speakers MemCon 2024 provides a platform to debate the challenges and innovations in memory and storage technologies.

Participants will explore topics akin to the “memory wall,” which refers back to the bottleneck that happens when the speed of knowledge access from memory lags behind the processing power of CPUs. This bottleneck can limit the general performance of computer systems.

Key discussions revolve around concepts akin to HBM (High Bandwidth Memory) and CXL (Compute Express Link), which promise to revolutionize storage architectures by offering higher bandwidth and capability.

These technologies have implications for AI/ML, where large data sets and complicated calculations require highly efficient storage solutions.

The many necessary topics up for discussion include:

  • Gain insight into data management roadblocks and make informed decisions about system infrastructure.
  • Understand the economics of knowledge management and its impact on infrastructure costs, particularly for AI/ML deployments.
  • Learn about industry-leading insights and recent products coming to market, shaping the longer term of AI/ML deployments and systems innovation.
  • Connect with a thriving network of systems and AI/ML experts and drive brand awareness and thought leadership within the storage and systems markets.

Of course, there are also quite a few networking opportunities and more relaxed sessions to fulfill and consult with those involved in data management, AI, ML, HPC and more.

Register your participation here to participate on this exciting conference.

Selected speakers at MemCon 2024

MemCon 2024 includes a line-up of distinguished speakers including, but not limited to:

  • Zaid Kahn, VP & GM, Cloud AI & Advanced Systems, Microsoft
  • Manoj Wadekar, Hardware Systems Engineer, Meta
  • Helen Byrne, Vice President, Solutions Architect, Graphcore
  • Tejas Chopra, Senior Software Engineer, Netflix
  • Puja Das, Senior Director, Personalization, Warner Bros. Entertainment
  • Jin-Hyeok Choi, Corporate EVP, Samsung Electronics and plenty of more.

Check out other speakers from the extensive and varied offering Here.

Agenda highlights

The event spans two days and includes keynote sessions, panel discussions and networking opportunities. Let’s take a have a look at some highlights from the agenda:

  • Zaid Kahn, VP & GM, Cloud AI & Advanced Systems at Microsoft: Keynote on changing system designs on account of evolving data and workloads.
  • Manoj Wadekar, hardware systems technologist at Meta: Development of hyperscale data centers.
  • Matt Jones, vp of strategic marketing at Rambus: AI 2.0 and its impact on memory landscapes.
  • Arun Raman, Deep Learning Solutions Architect, NVIDIA: Memory optimization for LLMs.
  • Tom Sheffler, solutions architect at Roche: Scaling genomics calculations.
  • Nan Ding, a research scientist on the Berkeley Research Lab: Evaluating disaggregated storage systems for HPC applications.

Important details about MemCon 2024

Here’s every thing you could learn about MemCon 2024:

  • Date: 26-27 March 2024
  • Location: Computer History Museum, Silicon Valley, California
  • Participant: Over 500 in-person attendees, 30% representing enterprise end users
  • Speaker: 35 industry-leading speakers from top technology firms
  • Focus: Addressing storage-related challenges within the data-centric era, exploring recent technologies and providing system design insights for AI/ML workloads
  • Highlights: Keynotes from distinguished industry figures, in-depth sessions on storage optimization, discussions on the impact of latest technologies akin to CXL and HBM, and networking opportunities with experts and colleagues in the sphere

Attend MemCon 2024 to remain on the forefront of systems design innovation and network with industry leaders.

Join Now to secure your home at this necessary event for everybody involved in data management technologies.

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