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Semiconductor Market Commentary, Thru Project Mascot
SanDisk's investor-day projections look too rich, as forecasting four years out on flash offload in AI inference is speculative. Measured against an 18TB attach-rate max bull case, now more like 8-10TB, they imply SanDisk assumes KV cache grows with users and context, many HBF customers, which looks unlikely now, or rock-solid four-year long-term agreements. The core disagreement is how big and how fast flash offload becomes ubiquitous. x.com x.comÂ
Sandisk's high-bandwidth flash looks like a dead end, however hyped its keynote, because customers would have to rewrite their whole infrastructure to make it work, and that is not going to happen. Using flash as effectively volatile memory means far more frequent writes, which can be fixed only by limiting write bandwidth. Focusing on specs and potential misses the forest for the trees; a way forward may still exist, just not where it appears now. x.com x.comÂ
Sandisk's datacenter shipments and restrained bit-supply plan strengthen its growth case, without settling contract protection in a downturn. Management attributed roughly 60% of fiscal Q1 revenue growth to volume and 40% to price; datacenter sales rose 61% sequentially to $4.8B, supplying 88% of total growth. It retains mid-to-high-teens bit growth rather than accelerating supply. Consumer sales fell 29%, and the CFO cautioned against carrying Q2's growth rate into fiscal Q3. x.com x.comÂ
Networking, power and compute look more durable than cyclical memory in the AI buildout. Lumentum's revenue compounded year after year across the 2010s and 2020s, unlike Micron's; AWS revenue also compounded. Lumentum, Nebius, Bloom Energy and Credo should heavily outperform SanDisk and Micron from here, though AI itself remains heavily doubted. x.com x.comÂ
SanDisk's data-center flash growth shows AI inference is becoming a larger storage customer. Data-center revenue reached $4.8bn, up 61% in a quarter and over 40% of sales; total revenue of $11bn and EPS of $49.51 beat expectations. Guidance of $12.4bn revenue and $56 EPS suggests feared supply normalization has not yet eroded pricing. Overweight, with a $2,700 target. x.com x.comÂ
AI's physical buildout looks set to last to 2030 and beyond because financing, memory supply and hyperscaler spending still point to sustained demand. Nebius has $3.5B in financing, IREN $2.4B at 9% and SPCX $40B for GPU equipment. SK hynix expects shortages through at least 2030 and Samsung says HBM4 is sold out; memory companies are making money with no sign of slowing. Google expects 2027 capex to rise significantly. Pullbacks can happen; be cautious and buy quality. x.comÂ
Sandisk's growth is coming entirely from higher prices, not more bits shipped, which makes it hard to sustain. Revenue grew 97% quarter over quarter as almost every hyperscaler raised capex to cover rising prices. Its roughly 80% gross margin is excessive and customers resent it; as long as demand far exceeds supply it can keep both, but supply eventually catches up and margins will erode. The open questions are how long new fabs take and whether Sandisk or rivals add the supply. x.com x.com … Show more
SanDisk CEO David Goeckeler's report of customer signals beyond fiscal 2030 adds storage to the long-duration AI hardware-demand case. He says those signals come through new-business-model partnerships; Micron and SK hynix in memory and Lumentum in photonics were already cited as signs of demand beyond 2030. x.comÂ
Seagate's gross margin jump to 57.8% from 52.7% shows pricing power in a supply-constrained hard-drive market. AI data needs storage, hyperscalers seek capacity, and HAMR packs more terabytes into existing factories; roughly 90% of big-cloud data sits on hard drives. Sales reached $4.2B and next-quarter guidance of $4.8B beats the Street's $4.53B. This cycle looks to be accelerating rather than peaking. Overweight, $1,050 target. x.com x.comÂ
Inference's move toward edge devices and dense, memory-hungry racks should drive demand for specialized chips, links, power delivery and cooling. McKinsey projects inference at 60% of AI computing demand by 2030. Ambarella makes on-device AI chips; Astera Labs links GPUs, memory and networks; Credo supplies short copper connections; Rambus earns from memory interfaces; Navitas reduces power waste; Modine cools dense racks; and Super Micro builds inference-specific server racks at volume. x.com … Show more
Agentic AI's repeated context favors cache memory and storage demand for Micron, SK hynix and Sandisk over fresh GPU computation. Per @demian_ai, about 95% of input tokens for DeepSeek V4.1 Flash on OpenRouter were cache hits; storage matters unless routing and caching keep almost everything in GPU memory. New products such as 3D DRAM and HBM-on-logic could be the final trigger for a full memory-stock re-rating. x.com x.comÂ
SanDisk's 2030 guidance has zero credibility, like Salesforce's or ServiceNow's long-range targets, and looks like its Oracle-RPO moment. A potential compute overbuild could arrive well before then, along with massive new memory capacity from everyone, including China. The guidance is still good for a big one-day gain. x.com x.comÂ
