  In our exploration of Composable Memory systems utilizing CXL, we focus on
overcoming adoption barriers at Hyperscale, underscored by economic models
demonstrating Total Cost of Ownership (TCO). While CXL addresses the pressing
memory capacity needs of emerging Hyperscale applications, the escalating
demands from evolving use cases such as AI outpace the capabilities of current
CXL solutions. Hyperscalers resort to software-based memory (de)compression
technology, alleviating memory capacity, storage, and network constraints but
incurring a notable "Tax" on Compute CPU cycles. As a pivotal guide to the CXL
community, Hyperscalers have formulated the groundbreaking Open Compute Project
(OCP) Hyperscale CXL Tiered Memory Expander specification. If implemented, this
specification lowers TCO adoption barriers, enabling diverse CXL deployments at
both Hyperscaler and Enterprise levels. We present a CXL integrated solution,
aligning with the aforementioned specification, introducing an
energy-efficient, scalable, hardware-accelerated, Lossless Compressed Memory
CXL Tier. This solution, slated for mid-2024 production and open for
integration with Memory Expander controller manufacturers, offers 2-3X CXL
memory compression in nanoseconds, delivering a 20-25% reduction in TCO for end
customers without requiring additional physical slots. In our discussion, we
pinpoint areas for collaborative innovation within the CXL Community to
expedite software/hardware advancements for CXL Tiered Memory Expansion.
Furthermore, we delve into unresolved challenges in Pooled deployment and
explore potential solutions, collectively aiming to make CXL adoption a "No
Brainer" at Hyperscale.
