Storage — Enterprise NVMe SSD & All-Flash for AI

Moyan Technology distributes enterprise and datacenter NVMe SSDs — the checkpoint and dataset tier of every AI cluster. We source PCIe Gen4/Gen5 drives in U.2/U.3 and EDSFF (E1.S / E3.S / E1.L) form factors: fast TLC for training and checkpoint I/O, and hyper-dense QLC up to 122TB for read-intensive datasets and inference. We can also bundle drives into all-flash and parallel-FS arrays for GPU clusters.

NAND is in a severe AI-driven undersupply as of 2026, so high-capacity SKUs move on RFQ rather than fixed list. We quote per batch and confirm live.

What we supply

TLC performance — Micron 9550, Samsung PM9D3a, Kioxia CM7 (Gen5, 1–3 DWPD).
QLC capacity — Solidigm D5-P5336 (to 122TB), Samsung BM1743 (Gen5 QLC).
EDSFF — E1.S and E3.S for GB200 NVL72-class servers.
All-flash arrays — DDN / VAST / Pure-class appliances with GPUDirect (system-level RFQ).

Drives, capacities and indicative prices are in the catalog table on this page (stamped “as of” a date; confirm live at RFQ).

Why source storage through Moyan Technology

Four NAND makers plus Taiwan/China module houses in one quote.
Form-factor matched to your chassis (U.2 vs E1.S vs E3.S).
Batch pricing in a fast-moving NAND market.
Array-level bundling for AI checkpoint and dataset tiers.

Match storage to your GPU nodes, racks and networking fabric.

Request a storage quote →

FAQ

What is the difference between E1.S, E3.S and U.2? They are form factors: U.2 is the 2.5” standard; E1.S and E3.S are EDSFF designs built for density and cooling in modern AI servers. We match the drive to your chassis.

TLC or QLC for AI storage? TLC for write-heavy training and checkpoints (higher DWPD); QLC for read-intensive datasets and inference at the lowest cost per TB. Many clusters use both tiers.

Can you supply 30TB+ and 122TB SSDs? Yes, on RFQ — the largest Gen5 and QLC SKUs are frequently allocation-controlled. See the table and confirm live.

Do you supply complete all-flash arrays? Yes — GPUDirect-capable appliances for GPU clusters are quoted at system level.