Jensen Huang Thinks the Artificial Intelligence (AI) Memory Boom Is Impossible to Ignore. Here's My Top Pick That No One Is Talking About.

AI hyperscalers are increasing their appetite for high-bandwidth memory, DRAM, and NAND chips.

The AI memory supercycle has propelled Micron Technology, Samsung, and SK Hynix into the trillion-dollar club.

The Roundhill Memory ETF (DRAM) is an effective way to invest in the AI memory theme at a low cost.

During a recent trip to South Korea, Nvidia CEO Jensen Huang leaned into a key urgency rippling through semiconductor supply chains. Huang said, "The whole industry supply chain -- everything from wafers to packaging to silicon photonics...everything's in short supply because the demand is so high. It is going to persist for several years."

I think this statement is a sobering assessment of a new reality. Artificial intelligence (AI) has turned memory into one of the most critical -- and constrained -- resources in hyperscale chip stacks. What was once a cyclical commodity has become a secular growth engine virtually overnight. This shift is important because, as Huang notes, it is not a temporary spike. Rather, insatiable demand for memory is becoming a multiyear reordering of supply and demand that will determine how fast AI scales.

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While most investors obsess over Micron and Sandisk , I think one of the best ways for investors to participate in the entire AI memory supercycle is through the Roundhill Memory ETF (NYSEMKT: DRAM) , a specific fund built precisely for this moment.

Training generative models and inference deployments require enormous bandwidth between processors and memory. High-bandwidth memory (HBM), which is an advanced form of dynamic random-access memory (DRAM) layered with graphics processing units (GPUs), delivers these speeds.