Weekly signal for the people building and buying AI infrastructure: what moved, why it matters, what's next.
Last issue, Solidigm was quietly scouting a US fab site it hadn't chosen yet. This issue, bankers are reportedly pitching it as a $150 billion IPO, or maybe $100 billion, depending on which wire service you believe. Neither number depends on the fab existing. Samsung, meanwhile, is putting real figures behind the HBM capacity story this newsletter has tracked all year: wafer input climbing roughly 40% next year, with HBM4-class chips going from two-fifths to four-fifths of total HBM output. China's CXMT answered its own export-control squeeze with a DRAM node built on older lithography tools and brute-force patterning rather than EUV. Elsewhere, VAST Data bet that confidential computing sells enterprise AI storage, WEKA and Backblaze validated a real two-tier pipeline instead of a slide, and Lightmatter shipped an optical module that cuts a GPU pod's fiber count in half.
A persistent line on where the shortage stands, present every issue whether or not the picture actually moved.
Direction: Worsening.
This period: Samsung told industry contacts on September 20 that it plans to raise monthly HBM wafer input by roughly 40%, from about 180,000 to about 250,000, and lift HBM4/HBM4E's share of total HBM output from roughly 40% to roughly 80% next year, corroborated by a 2.5x jump in outsourced glass-carrier cleaning demand tied to that ramp. That's more conventional-DRAM-capable capacity converting to HBM, not less. Working against that read, TrendForce logged spot DRAM and NAND prices cooling at the margins the week of September 14-21, with DDR5 inquiries slowing and the 512Gb TLC NAND wafer spot price down 1.00% week over week to $19.883. That's soft consumer-segment spot trading, though, not the enterprise contract pricing and HBM allocation this call actually tracks.
Driver: HBM production is still eating disproportionately into wafer capacity that would otherwise make conventional DRAM and NAND, the same driver this newsletter has tracked since Issue 03, now visible directly in Samsung's own capacity-shift plan rather than only in an analyst's inventory estimate.
Watch for: Micron's fiscal Q4 2026 earnings call on September 30, its first public update on the reported 60K-wafer HBM capacity ramp toward 100K by year end and the first chance to address whether DeepSeek's KV-cache efficiency claims are showing up in bulk orders.
A running index of a few figures we track issue over issue, so the trend is visible, not just the snapshot. Three fresh readings clear the bar this week, all off TrendForce's DataTrack service: the 512Gb TLC NAND wafer spot price eased slightly, while both DDR4 and DDR5 spot pricing kept climbing, DDR5 more sharply, even as TrendForce's own commentary described DDR5 inquiries as slowing. Nothing new on the 30TB SSD or 30TB HDD list prices; both vendors and index providers are still quoting the same August figures.
| Issue | Date | Metric | Value |
|---|---|---|---|
| Issue 03 | Aug 30, 2026 | 30TB enterprise SSD list price | $22,600 |
| Issue 04 | Sep 4, 2026 | 30TB enterprise SSD list price | $22,600 (flat) |
| Issue 05 | Sep 1, 2026 | DDR4 1Gx8 3200MT/s spot price | $44.54 (+2.08% WoW) |
| Issue 05 | Aug 31, 2026 | 512Gb TLC NAND wafer spot price | $20.71 (-0.90% WoW) |
| Issue 07 | Sep 11, 2026 | DDR4 1Gx8 3200MT/s spot price | $45.21 (-0.14% WoW) |
| Issue 07 | Sep 11, 2026 | DDR5 16Gb (2Gx8) 4800/5600 spot price | $54.33 (flat WoW) |
| Issue 08 | Sep 14, 2026 | 512Gb TLC NAND wafer spot price | $20.083 (-0.31% WoW) |
| Issue 08 | Sep 15, 2026 | DDR4 1Gx8 3200MT/s spot price | $45.54 (+0.47% WoW) |
| Issue 09 | Sep 21, 2026 | 512Gb TLC NAND wafer spot price | $19.883 (-1.00% WoW) |
| Issue 09 | Sep 24, 2026 | DDR4 1Gx8 3200MT/s spot price | $46.107 (+1.2% since Sep 15) |
| Issue 09 | Sep 26, 2026 | DDR5 16Gb (2Gx8) 4800/5600 spot price | $57.667 (+6.1% since Sep 11) |
Five things that happened this week, and why I'd pay attention to each one.
Industry sourcing reported by Seoul Economic Daily on September 20 has Samsung raising average monthly HBM wafer input from roughly 180,000 to roughly 250,000 next year, a nearly 40% increase, while shifting the mix so HBM4 and HBM4E rise from about 40% to about 80% of total HBM shipments. The same sourcing pegs a 2.5x jump in demand for outsourced cleaning of the glass carriers used to keep HBM wafers from bending during thinning and drilling, a proxy metric that corroborates the volume claim independent of Samsung's own disclosures.
TrendForce's September 16 spot-price update described DDR5 inquiries slowing and 2Gx8 DDR4 prices retreating, the first genuinely soft language its weekly notes have used all year. The 512Gb TLC NAND wafer spot price followed, down 1.00% week over week to $19.883 by September 21, which TrendForce attributed to Chinese supplier capacity releases running into weak consumer-segment demand. DDR4 and DDR5 spot pricing kept climbing in the same window regardless, per this issue's Index.
VAST Data introduced DataEnclave on September 22, a confidential-computing layer built on Nvidia's third-generation Confidential Computing (spanning Hopper, Blackwell, and Rubin) that runs proprietary AI models and sensitive enterprise data inside hardware-isolated, attested enclaves on the VAST DataEngine, rather than moving sensitive data somewhere else for a model to reach it. Named launch partners span model builders (Cohere, Deepgram, TwelveLabs), infrastructure partners (Cisco, Supermicro), and a security integration with CrowdStrike Falcon. It's in preview now, with general availability targeted for Q1 2027 through VAST and its OEM partners.
WEKA and Backblaze said September 9 they've completed integration, sizing, and tuning work pairing WEKA's NeuralMesh performance tier with Backblaze B2 as the capacity tier for the full AI data lifecycle: ingestion, training, checkpointing, and inference. The specific feature getting tested is Snap-to-Object, which writes a consistent NeuralMesh filesystem snapshot out to B2, letting a team revert to a training checkpoint or recover inference data from the same object store everything else already lands in, instead of improvising a fix mid-run.
Lightmatter announced the Passage L20 CPX optical module on September 17, the first Open CPX module to use bidirectional optical links, sending and receiving on a single fiber by assigning each direction its own wavelength. Built on the company's near-package optics engine at 6.4 terabits per second per socketed module, the company says it takes a 512-GPU scale-up pod from about 130,000 fibers to 65,000, cutting roughly 16,000 connectors and more than 200 miles of fiber, for a claimed 15% reduction in total scale-up interconnect network cost.
A running snapshot, updated whenever a vendor discloses something new, not re-explained from scratch every week. Samsung disclosed a concrete capacity plan this issue; SK hynix and Micron carry forward unchanged.
CUBE roadmap (Issue 08) still stands: HBM5 targets 2x HBM4E performance, zHBM benchmarked at 8x HBM4E, zNAND-O sampling penciled in for 2028. New this issue: industry sourcing says Samsung will raise monthly HBM wafer input from roughly 180,000 to roughly 250,000 next year and lift HBM4/HBM4E's share of output from about 40% to about 80%, corroborated by a 2.5x jump in outsourced glass-carrier cleaning demand.
HBM wafer input rising ~180K to ~250K/month, 2026 to 2027 plan Capacity rampHybrid bonding pushed from HBM4E to HBM5 after hitting a 775-micron packaging ceiling. Racing for 16-Hi HBM4 delivery to Nvidia by Q4 2026.
DelayedReportedly adding up to 60K HBM wafers per month toward roughly 100K by year end, with 12-Hi HBM4 for Vera Rubin heading toward half of output. Still racing for 16-Hi HBM4 by Q4 2026.
Capacity rampNo new IDC or Gartner report landed this issue, so every card below still reflects IDC's Q2 2026 Worldwide Quarterly Enterprise Storage Systems Tracker and the 2026 Gartner Magic Quadrant, both covered in Issue 08.
IDC's Q2 2026 tracker put Dell's external enterprise storage revenue at $2.46 billion, a 23.8% share and the fastest year-over-year growth (+42.5%) among the top vendors, riding an AI-storage attach strategy across PowerScale and PowerStore.
Last updated Issue 08Jumped from fourth to second in IDC's Q2 2026 tracker at an 11.3% share ($1.17 billion), passing NetApp; still strongest outside North America.
Last updated Issue 08Slipped to third in IDC's Q2 2026 tracker (9.6% share, $988 million), passed by Huawei; AFX disaggregated architecture and the AI Data Engine (AIDE) remain its core pitch.
Last updated Issue 08Formerly Pure Storage, renamed February 2026. Number one on both Magic Quadrant axes for the second straight year; IDC's Q2 tracker didn't name its exact share, so this reflects Q1's ranking.
Last updated Issue 03Folding storage into its broader AI factory and GreenLake positioning.
Last updated Issue 01IBM Storage Scale holds roughly 17% of the parallel file system market specifically; Storage Scale System 6000 is NVIDIA-certified for metadata-heavy training jobs.
Last updated Issue 01The Storage and Memory Signal reaches people who actually buy and operate AI storage and memory infrastructure, AI DevOps engineers, infra leads, and the executives they report to. If that's your buyer, this slot is available.
Two weeks after scouting a fab site it hasn't picked, SK hynix's NAND unit is reportedly in a bake-off with bankers over an IPO that could set a record. The number itself depends on who's reporting it.
Reuters reported this week, citing people familiar with the matter, that Solidigm is meeting with investment banks in a competitive process for IPO roles, weighing a US listing that could come as early as 2027 at a valuation of up to $150 billion, raising as much as $15 billion in the offering. That would be among the largest semiconductor listings ever attempted in the US. Bloomberg's own reporting on the same broader story put Solidigm's valuation closer to $100 billion, a $50 billion gap that neither outlet has reconciled. SK hynix's official response hasn't moved: Solidigm "is reviewing various options to strengthen its business competitiveness," the company said, "but no specific plans have been confirmed," language nearly identical to what it said about the same review in August and again in September.
The gap between $100 billion and $150 billion is worth sitting with rather than averaging away. Both figures came from sourcing, not a filed prospectus, which means both are somebody's model of what the market will pay, built before a banker has run a single roadshow. A $50 billion spread on a single company's valuation is enormous by the standards of pre-IPO reporting, and it says more about how unsettled Solidigm's own numbers are internally than it does about investor appetite. NAND pricing has been on a historic run this year, per this newsletter's own Index, but a NAND-only business is also the most cyclical corner of the memory industry, and whichever number sticks will be set at the top of a pricing cycle that even Kioxia's own CEO has publicly said he wants to cool down.
Then there's the fab problem, which this newsletter flagged just last issue and which neither wire report addresses. Solidigm's only NAND fab sits in Dalian, China, restricted by US export controls to sub-200-layer NAND, a full generation behind what Samsung, SK hynix's own domestic lines, and Micron are shipping. As of last week, Solidigm hadn't picked a US site, hadn't gotten an approval, and hadn't set a construction timetable, despite scouting upstate New York as a leading candidate. A $150 billion IPO story and a fab search that's still in the site-visit stage are happening in the same company, in the same month, and only one of those two processes has a hard deadline that matters to customers: whoever actually builds current-generation NAND capacity on US soil first captures the supply security premium that export controls have created. An IPO raises capital. It doesn't pour concrete.
Read the whole thing as two bankers' stories layered on top of one operational reality. SK hynix gave itself until on or around November 5 to detail Solidigm's strategic review, a deadline this newsletter has now tracked across three issues without it slipping. That date, not this week's valuation chatter, is the one that will say whether any of this becomes a filed S-1 rather than sourced reporting with a moving number attached.
China's largest DRAM maker just proved a 12nm-class node doesn't require the lithography tools Washington won't sell it.
CXMT announced mass production of what it calls its G5 platform at the World Manufacturing Convention in Hefei on September 20, its fifth-generation DRAM technology. The headline spec is an 11.95-nanometer active-area half-pitch for the memory array, achieved with quadruple patterning rather than the extreme ultraviolet lithography Samsung, SK hynix, and Micron all use at equivalent nodes and that US export controls bar CXMT from buying. Quadruple patterning means exposing and etching a wafer four separate times to draw features fine enough that a single EUV exposure would otherwise handle in one pass, trading tool cost for process complexity and, typically, yield.
CXMT's own numbers claim at least 50% more dies per wafer than its fourth-generation platform, a real density gain by any measure, plus two 24Gb LPDDR5X products already shipping in volume for smartphones. That's a mobile-memory launch, not a server-DRAM or HBM one, which matters for how directly this touches the AI infrastructure story this newsletter otherwise tracks. CXMT is not announcing an HBM competitor this week. It's announcing that its DRAM roadmap can keep advancing node over node using tools it's actually allowed to buy, which is a different and in some ways more durable claim than a one-off product spec.
The context that makes this worth a Second Cut rather than a passing mention is the timing against Samsung's news in this same issue. Samsung is adding roughly 70,000 wafers a month of HBM capacity specifically because AI demand keeps pulling conventional DRAM-capable capacity toward HBM. CXMT is demonstrating that a company locked out of EUV can still add DRAM density through brute-force patterning, at the cost of process complexity nobody has disclosed a yield figure for. Whether that trade-off scales to the higher-density, higher-speed parts servers and HBM stacks actually need is the real open question, and it's one CXMT's own announcement doesn't answer. A phone-memory launch built on export-control workarounds is a proof of concept for China's DRAM independence, not evidence that the workaround closes the gap with Samsung, SK hynix, or Micron at the nodes that matter for AI infrastructure.
One piece of storage or memory vocabulary, explained properly, every week.
In plain English: a way to run a program on data so that even the company running the server, and anyone who breaks into it, cannot see either the data or the program while it's actually working.
Encryption has always protected data two ways: at rest, sitting on a disk, and in transit, moving across a network. There was always a gap in the middle. The moment data gets decrypted to actually be processed, whether that's a database query or a model running inference, it sits in plaintext in memory, visible to the operating system, the hypervisor, a cloud provider's own administrators, or an attacker who's compromised any layer below the application. Confidential computing closes that gap by running the computation itself inside a hardware-isolated enclave, a walled-off region of a CPU or GPU that even privileged system software cannot read into, with cryptographic attestation proving to a remote party that the enclave is genuine and unmodified before any sensitive data or model weights are released into it.
Nvidia's version of this, now in its third generation across Hopper, Blackwell, and Rubin, extends the idea from the CPU, where confidential computing started, out to the GPU itself, which is the part that actually matters for AI. A model's weights and a customer's input data both have to live in GPU memory during inference, and a company running proprietary weights on a cloud GPU it doesn't own has historically had to trust that provider not to peek. Confidential computing is the industry's answer to that trust problem: verify the hardware environment cryptographically, then decrypt only inside it.
The reason this belongs in a storage newsletter rather than just a security one is this issue's Signal item on VAST Data's DataEnclave. A storage vendor, not a chipmaker, is the one packaging this for enterprise buyers, because the data governance problem that actually stops companies from putting sensitive data anywhere near a third-party AI model rarely starts at the GPU. It starts at the storage layer, where the data lived before anyone thought to encrypt the compute step. VAST's pitch, and the reason Cohere, Deepgram, and TwelveLabs signed on as launch partners, is that a model vendor and an enterprise data owner can now let their respective assets meet inside a single attested environment without either one ever fully trusting the other, or the infrastructure underneath both of them.
The honest caveat: confidential computing protects against a specific threat model, a curious or compromised infrastructure operator, not against a model itself misusing data it was legitimately given access to inside the enclave, or against side-channel attacks that have periodically been demonstrated against earlier generations of this technology in academic research. It's also new enough in its GPU-extended form that DataEnclave itself is still in preview, with general availability not until Q1 2027. Whether enterprises trust a three-generation-old hardware guarantee enough to actually put regulated data behind it is a slower-moving question than any single product launch answers.
SNIA Developer Conference (SDC) 2026, Hyatt Regency Santa Clara, with the SNIA SMB3 Interoperability Lab running alongside through October 1. What to watch: the SDC: StorageAI track, co-chaired by Dell's Jason Duquette, covering KV-cache storage offload, standardized approaches to AI data movement, and vector database indexing, opening with a keynote introduction from Intel's Richelle Ahlvers. This is the last issue publishing before the event; expect direct coverage of what actually got announced in Issue 10.
NetApp INSIGHT 2026. CEO George Kurian and CFO Wissam Jabre are slated to speak, the company's first major stage appearance since slipping to third in IDC's Q2 2026 storage tracker.
Micron fiscal Q4 2026 earnings, 2:30pm MT. Prior guidance called for roughly $50.0 billion in revenue and $31.00 non-GAAP EPS; the first hard numbers on how much of the reported 60K-wafer HBM capacity ramp actually materialized.
SK hynix's self-imposed window to give markets specifics on Solidigm's strategic review runs out, now sitting directly against this issue's Deep Cut on a reported $100-150 billion IPO valuation.
OCP Global Summit 2026, San Jose McEnery Convention Center. Registration and the full schedule are live, organizers warning tickets may sell out; Nvidia's Ian Buck is confirmed to keynote. The last Global Summit before it relocates to San Francisco's Moscone Center starting in 2027.