The CXL Consortium looks forward to participating in the Future of Memory and Storage (FMS) event at the Santa Clara Convention Center from August 5-7, 2025.
CXL Kiosk at the Open Standards Pavilion (Booth no. 725)
- Explore how CXL can expand your memory footprint by visiting our representatives at our kiosk. View the CXL Video Demos HERE.
CXL presentation on Wednesday, August 6, at 9:45 am PT
- Title: How CXL Transforms Server Memory Infrastructure
- Abstract: CXL technology allows both coherent shared and dedicated pooled memory to serve different purposes – enabling a composable data center architecture and providing a cost-efficient solution to expand memory, while improving overall performance for memory-intensive applications like In-Memory Database, HPC, and AI/ML. In this session, attendees will explore the benefits of CXL memory pooling and sharing and gain valuable insights into how the technology is being deployed to accelerate performance in AI workloads, In-Memory Databases, and Big Data Analytics.
- Moderator: Anil Godbole (MWG Co-Chair)
- Panelists: Sandeep Dattaprasad (Astera Labs), Siamak Tavallaei (Samsung), Geof Findley (Montage Technology), JP Jiang (XConn Technology)
- Location: Ballroom D, Santa Clara Convention Center
Beer, Pizza, and Chat with the Experts
- CXL Consortium representatives are attending the event to discuss how CXL can expand your memory.
- Date and time: Wednesday, August 6, 7:15 – 8:30 pm PT
- Location: Ballrooms A-D
Meet CXL Consortium members at FMS
- Samsung (Booth no. 407) Visit the Samsung booth to view the following CXL demos.
- CMM-H memory pooling using Liqid system (research project)
- CXL benefits in RAG application
- Collaboration for CXL memory pooling with Montage, H3 Platform, and Samsung
- Teledyne LeCroy (Booth no. 625): Optimizing CXL implementations with Protocol Analyzers
- UnifabriX (Booth no. 940): View a live demo of a memory over fabrics architecture.
- Wolley (Booth no. 952): Memory expansion for AI workstations
- XCENA (Booth no. 734): Explore how MX1 – CXL Computational Memory can enhance system performance by processing data closer to where it resides.
- XConn Technologies (Booth no. 1245): Demo of dynamic memory pool using CXL VCS
- ZeroPoint Technologies (Booth no. 645): Discover How CXL and Compression IP Are Revolutionizing Memory Efficiency for AI & HPC