Samsung expands Nvidia tie-up for AI inference storage

Samsung Electronics is deepening its partnership with Nvidia to include NAND flash memory, the storage chips that power enterprise data centers. The move comes as AI inference — the process by which trained artificial intelligence models generate predictions and outputs for real-world applications — is driving demand for high-capacity storage systems in data-center environments.

AI inference is computationally different from training: while training a model can be done once and shared, inference happens every time a user or application queries the model, often at massive scale. This creates sustained demand for fast, reliable storage that can feed data to inference engines. By expanding into NAND flash, Samsung is positioning itself to supply a critical piece of the infrastructure that enterprises need to deploy AI applications at production scale. The partnership extension signals confidence from both Samsung and Nvidia that data-center AI infrastructure — spanning processors, software, and storage — will remain a major growth area.

Samsung and Nvidia have long collaborated on semiconductors for data centers and consumer devices. This expansion into NAND flash reflects a shift in how both companies view the AI infrastructure opportunity: it is no longer just about the processors that train and run models, but also the storage systems that move data in and out of those compute engines. AI inference, in particular, is memory-intensive — models must read vast datasets and parameters during operation — making enterprise-grade NAND a natural extension of the Nvidia-Samsung partnership. By coupling Nvidia's AI software ecosystem and chip architecture with Samsung's storage capabilities, the two firms are positioning themselves to serve customers who need end-to-end data-center solutions, not just point products.