Bernstein remains highly constructive on memory and storage, arguing AI is creating a large and unprecedented demand surge across DRAM, NAND, and HDD. Datacenter customers now dominate demand for memory and storage markets, making pricing less cyclical and more structurally supported than in prior cycles. While the DRAM thesis has largely played out, NAND is earlier in its cycle and offers greater upside given improving supply discipline and growing AI-related demand. Favorable long-term contract structures, including pricing protections, prepayments, and take-or-pay agreements, further reduce cyclicality. Bernstein’s preferred way to express the theme remains storage, particularly SNDK.
SNDK +30bps outperforming MU -1.4%. We had some notes yesterday around why the SoCAMM DRAM cuts are actually bullish NAND.
The company's new business models, including long-term agreements (LTAs) with fixed price components, ensure consistent margins even at lower prices, which is a positive for financial stability.
The new business models are changing the trajectory of the business in a very positive way, fostering strong, mutually beneficial relationships with customers.
The company has successfully signed five LTA deals and is in ongoing negotiations for more, indicating strong customer adoption of the new business model across various segments.
The market for NAND is experiencing sustained mid to high teens growth, significantly boosted by AI demand, particularly as AI inference becomes a major driver for NAND consumption in data centers.
NAND is positioned as the most scalable semiconductor technology, making it crucial for economically scaling AI architectures, especially with the increasing demand for storage in inference applications.
The enterprise SSD business has grown significantly, increasing 7x year-over-year and now representing almost 25% of revenue, driven by investments in building a robust product portfolio.
The company is expanding its enterprise SSD portfolio with a new storage-based capacity product, which is expected to drive further growth in the data center mix.
The company is developing High-Bandwidth Flash (HBF) with a focus on higher bandwidth and endurance, addressing the memory-bound nature of AI inference and aiming for system-level integration.
The company is actively building the die and controller for HBF, with products expected to be available next year, and sees significant tailwinds from larger AI models and context lengths.
The company aims to achieve fair pricing, reduce market volatility, and grow its business, leveraging its built-in growth lever of mid to high teens bit growth annually.
The company is strategically allocating wafer production to maintain a balanced portfolio across segments, prioritizing long-term sustainability over short-term maximization.
The company is continuously adding capacity, growing in the mid to high teens, and has made cost-efficient transitions in its BiCS technology, planning for future node transitions.
The company has made strategic investments, including in Nanya for DRAM access, extended its JV agreement, paid down $2 billion in debt, and announced a $6 billion share buyback program, demonstrating strong capital allocation.
The company's consistent execution and transparent strategy, particularly with LTAs and enterprise SSDs, have led to increased investor confidence and a significant re-rating of its valuation.
The company's long-term investment in enterprise SSDs, driven by a new management team with enterprise background and internal expertise, is now yielding great products and market penetration.