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The Switch and Endpoint Adapter acts as a discrete switch, facilitating connections between CXL memory, GPUs, and other CXL-compatible devices within the Omega Fabric. It provides support for endpoint devices ranging from CXL 1.1 to CXL 3.0 and enables packet routing through a specialized switching system. The adapter can cascade multiple switches to enhance path redundancy and manage congestion, making it an integral part of advanced network setups focused on expanding data throughput and minimizing latency.
IntelliProp's Network Attached Memory System (NAM) is engineered to support up to six Enhanced Standard Form Factor devices, including GPUs, memory accelerators, or other endpoints with CXL architecture. This 2U chassis accommodates the Switch and Endpoint Adapter, blending into server environments to fortify memory systems. It can function as a dedicated switch or as a switch with installed endpoints, facilitating effective memory resource management and extending server capabilities.
Omega Fabric, part of IntelliProp's CXL-based offerings, is integral for revolutionizing memory economics by extending server CXL capacity and linking to external memory pools. It operates at the intersection of server-memory interaction, effectively reducing latency and boosting processing speeds, particularly for in-memory database tasks. By incorporating multiple tiers of memory within its architecture, it enhances server performance and optimizes memory utilization, encouraging seamless data flow and application efficiency.
The CXL Host Adapter by IntelliProp is designed to enhance memory capacity in server environments. It includes dual CXL links and various Omega Fabric ports, with four DDR4 slots facilitating CXL memory expansion within servers and enabling memory pooling between CXL hosts. Its compatibility spans current CXL 1.1 host processors and upcoming CXL 2.0 and 3.0 models, offering a seamless upgrade path. The adapter features a robust fabric capacity of 400Gbps, making it an ideal choice for boosting connectivity and data flow in data-intensive applications.
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