AI Inference Memory: How HBF, CXL and CMX Cut Costs
Inference makes AI memory capacity and cost efficiency as important as speed. HBF, CXL memory pooling and NVIDIA’s CMX each add a tier below HBM to hold KV cache and context more cheaply.
Inference makes AI memory capacity and cost efficiency as important as speed. HBF, CXL memory pooling and NVIDIA’s CMX each add a tier below HBM to hold KV cache and context more cheaply.
High Bandwidth Flash stacks NAND the way HBM stacks DRAM. It holds far more per stack than HBM4 at somewhat lower speed, and its first specification came out in August 2026.