Part 1
Memory as a Synapse
How a memory cell becomes an adjustable weight, how that weight is scored, why updates miss, what noise and drift cost, and what has shipped.
Read Part 1Technical guide
The memory and storage being built for SI, from a memory cell used as a neural-network weight to the SSDs designed for inference.
A series on the memory and storage SI is changing, from the device out to the system. Part 1 asks whether a memory cell can be a neural-network weight. Part 2 sets stacked NAND beside an accelerator as high bandwidth flash, and Part 3 follows Samsung’s zNAND-O concept, flash inside the processor’s own package. Part 4 covers NVIDIA’s Storage-Next, why inference reads storage 512 bytes at a time, and the drives made for it. Parts 5 to 7 move outward through the KV cache, the capacity drives and the five-minute rule, and the last part places every memory family by the job it could do. Every number is attributed to the maker that rated it or the outlet that reported it. The memory map and Working Memory cover the memories this series builds on.
The series
Each part builds on the one before, so start with Part 1.
Part 1
How a memory cell becomes an adjustable weight, how that weight is scored, why updates miss, what noise and drift cost, and what has shipped.
Read Part 1Part 2
What High Bandwidth Flash is, what the August 2026 OCP draft spec says, where its bandwidth comes from, and why writes and retention are its weak side.
Read Part 2Part 3
What Samsung has said about zNAND-O, NAND packaged with a processor over UCIe for on-device SI: what is claimed, what is simulated, and what is unpublished.
Read Part 3Part 4
What NVIDIA’s Storage-Next initiative is, why SI inference reads storage 512 bytes at a time, and what Kioxia, Micron, and SK hynix have shown or planned.
Read Part 4Part 5
How big a model’s KV cache gets, why inference keeps it, and the GPU, CPU memory, SSD, and shared storage tiers that hold it once HBM fills.
Read Part 5Part 6
What 122TB to 300TB QLC drives do in an SI cluster, why bigger drives write in bigger pieces, and how to read their endurance and hard drive comparisons.
Read Part 6Part 7
Gray and Putzolu’s five-minute rule redone for flash that answers in microseconds, 512-byte reads, and GPU hosts, with every input sourced or labeled.
Read Part 7Part 8
Places each memory family by the job it fills, sorts shipping from research, and says why DRAM is still unmatched.
Read Part 8On this site
The guides link these pages where they lean on them.
How XL-FLASH and Z-NAND trade density for read latency, and what Optane measured.
The DRAM stack beside the GPU that high bandwidth flash is set next to.
What a model stores in its weights, and why memory bandwidth sets its speed.
Where HBM, DRAM, flash and disk sit, and what each level costs.
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