Summary
Large machine learning models are advancing healthcare, scientific discovery, economic innovation, and national security. As these models increase in scale and capability, they require unprecedented memory capacity, creating a critical bottleneck for future Artificial Intelligence (AI) infrastructure. Emerging technologies such as Compute Express Link (CXL) enable large-scale memory resources to be shared across multiple servers, expanding capacity beyond the limits of a single server. However, sharing memory among multiple users introduces significant challenges to data privacy and system sec
