#cxl

4 posts· Last used 1d

Meta measures 43.7% of its servers as memory-capacity bound. They run out of RAM before they run out of cores, network, or storage. CXL is the standard meant to fix that, and it is further along than most coverage suggests in one direction and further behind in another. Expansion runs in production today. Pooling works on real hardware. #CXL #ComputeExpressLink #MemoryPooling #ServerMemory #DataCenter #Interconnect #DRAM #DDR4 #DDR5 #AIInfrastructure #tech https://www.buysellram.com/blog/cxl-memory-explained-can-servers-finally-share-ram/
0
0
0
0
A modern AI server runs five layers of memory, from nanosecond on-chip SRAM to petabyte-scale SSDs, and keeping the GPU fed is the whole engineering game. This piece walks the full hierarchy: why HBM became the bottleneck, why adding more isn't simple, and where HBF, CXL, and PIM fit into the next generation. https://www.buysellram.com/blog/inside-the-gpu-memory-hierarchy-how-ai-servers-move-data-from-ssd-to-hbm/ #HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #tech
0
0
3
0
You've seen all posts