Zh Tong Finance learned that NVIDIA CEO Jensen Huang's remarks once again ignited bullish sentiment for memory storage stocks. On Tuesday, Sandisk Corp. (SNDK.US) shares surged 28%, marking its best single-day performance since February of last year. The stock has skyrocketed over 47% in the first three trading days of 2026 and has soared an astonishing 1080% since hitting a low on April 22 last year. That day, the company became the best-performing component of the S&P 500 index, with other storage companies like Western Digital (WDC.US) and Seagate Technology (STX.US) also recording double-digit gains, following closely behind.

The catalyst for the rally came from Huang's statements at the International Consumer Electronics Show (CES). "For storage, this is entirely an underserved market," he said on Monday. "This is an unprecedented market and is likely to become the world's largest storage market, essentially carrying the working memory of global AI."

**Analyst Jack Silverman noted that against the backdrop of growing demand for AI training and inference, supply tightness and soaring memory chip prices are driving digital storage stocks higher. Huang's remarks at CES "indicate that demand for NAND storage within NVIDIA's systems will remain strong."**

Memory chip prices continue to climb. Earlier this week, the Korean Economic Daily reported that Samsung Electronics and SK Hynix are seeking to raise server DRAM prices by 60% to 70% in the first quarter compared to the fourth quarter of last year.

In a client report dated January 4th, Bank of America analyst Wamsi Mohan wrote that Sandisk and other storage companies are seen as "core beneficiaries" of the "AI inference and edge AI" development in 2026. Mohan expects that as institutions retain increasing amounts of data for training, analysis, and compliance purposes, the demand for storage will "surge in tandem." He specifically mentioned growth in applications such as drones, surveillance, automotive, and sports technology.

"So far, the focus of the AI investment theme has been on capital expenditure and driving AI model training, which has spawned the next wave of hardware spending," Mohan wrote. "Looking ahead to 2026 and beyond, we expect AI inference to dominate."