The CXL Consortium is returning to Supercomputing 2026 (SC26) to showcase the benefits of CXL for AI and HPC applications.
CXL Pavilion (Booth no. 1218)
Visit the CXL Pavilion to view the following CXL demonstrations:
- AMD | Powering Next-Generation Agentic AI with AMD Epyc and CXL Gen6 Expanded Memory
- Astera Labs | From Bottleneck to Breakthrough: Accelerating AI Inferencing for Agentic AI with Leo Smart Memory Controllers
- Intel | Optimize Memory TCO with Intel® Flat Memory Mode for Agentic AI on Future-Gen Xeon Processor
- Lightelligence | CXL 3.X Over Optics
- Micron | Abaco Reference Design: Redefining DRAM as Shared Infrastructure for Scalable Agentic AI
- Montage Technology | CXL Dynamic Capacity Device (DCD) Technology
- Netlist | Unlocking the Full Potential of CXL Memory Solutions for AI, Cloud, and Enterprise
- Panmnesia | CXL 3.2 Fabric Switch Supporting Port-Based Routing
- Penguin Solutions | DDR4 Reimagined: Expanding DDR5 Server Memory with CXL
- Primemas | Expand Memory Beyond Limits
- ScaleFlux | MC600 CXL Memory Expansion
- UnifabriX | POOL IT. SHARE IT. ACCELERATE AI. Powered by UnifabriX MPU
- VIAVI | CXL 3.1 Linkup over Optical Interconnect
Exhibitor Forum Presentation: Building the Future of AI Infrastructure With CXL
- Date and time: Tuesday, November 17, 2026, from 1:30 – 2:00 pm CT
- Speaker: Anil Godbole, CXL Consortium Marketing Working Group (MWG) Chair
- Description: Discover how the Compute Express Link® (CXL®) ecosystem is helping solve the memory challenges limiting today’s AI infrastructure. Recently, leading cloud service providers and GPU manufacturers have highlighted CXL memory pooling as an effective approach for improving KV cache access and enabling more efficient AI inference at scale. This Exhibitor Forum session highlights the growing momentum behind CXL adoption, featuring demonstrations from CXL Consortium members that showcase memory expansion, pooling, composable infrastructure, software enablement, validation, and production-ready solutions. Attendees will gain insight into how a diverse ecosystem of silicon providers, system manufacturers, software developers, and infrastructure companies is working together to bring CXL to market and address the memory and infrastructure challenges of modern AI workloads.
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