NVIDIA is essentially nuking the storage market with its insane new AI gear. The company dropped details at CES 2026 regarding Inference Memory Context Storage for Vera Rubin systems. This tech links Bluefield-4 DPUs to massive drives, and while it fixes bottlenecks, it threatens to obliterate global NAND availability.
Citi analysts ran numbers showing that one rack requires roughly 16 TB of NAND per GPU. That totals over a thousand terabytes for a single NVL72 setup. If shipments hit 100k units later, the math becomes terrifying for supply chains.
Team Green could absorb nearly ten percent of the entire planet's NAND output. That equals over 115 million terabytes needed strictly for their hardware. The industry has not prepped for a shock of this magnitude, yet demand keeps climbing.
Agentic AI requires huge memory logs known as KV Cache for context building. High Bandwidth Memory modules lack the space to hold it all onboard. That forces a pivot to these fresh storage solutions to keep data processing fast.
Regular people might face a nightmare trying to buy general SSDs soon. Data centers and the inference craze are already squeezing inventory tight. Manufacturers will not stop chasing better compute power, leaving everyone else fighting for scraps.
Citi analysts ran numbers showing that one rack requires roughly 16 TB of NAND per GPU. That totals over a thousand terabytes for a single NVL72 setup. If shipments hit 100k units later, the math becomes terrifying for supply chains.
Team Green could absorb nearly ten percent of the entire planet's NAND output. That equals over 115 million terabytes needed strictly for their hardware. The industry has not prepped for a shock of this magnitude, yet demand keeps climbing.
Agentic AI requires huge memory logs known as KV Cache for context building. High Bandwidth Memory modules lack the space to hold it all onboard. That forces a pivot to these fresh storage solutions to keep data processing fast.
Regular people might face a nightmare trying to buy general SSDs soon. Data centers and the inference craze are already squeezing inventory tight. Manufacturers will not stop chasing better compute power, leaving everyone else fighting for scraps.
