: CXL-based memory expansion offers approximately 8x lower latency compared to network-based RDMA (Remote Direct Memory Access).
: Utilizing CXL 3.0 allows the system to support up to 4,096 nodes, which is significantly more scalable than proprietary interconnects like NVIDIA's NVLink. pim073.jpg
The reference likely pertains to the (often designated as Figure 7 in related documentation). This system is designed to run Large Language Models (LLMs) without expensive GPUs by using Compute Express Link (CXL) technology. : CXL-based memory expansion offers approximately 8x lower
: Each CXL device in this architecture integrates 16 controllers, each managing two GDDR6-PIM channels. This system is designed to run Large Language
: The device's internal decoder converts high-level instructions into micro-ops.
: A 2MB buffer on each device receives "CENT instructions" from a host CPU. These are then decoded into micro-ops for the memory units.
: These micro-ops are converted into DRAM commands, executing the logic directly where the data resides.