Kioxia and Sandisk extend Yokkaichi joint venture through 2034

Kioxia and Sandisk have extended their long running flash memory joint venture in Japan, securing production at the Yokkaichi and Kitakami plants through December 31, 2034 to meet rising demand from generative Artificial Intelligence workloads.

Kioxia Corporation, a subsidiary of Kioxia Holdings Corporation, and Sandisk Corporation have extended their joint venture agreements at Kioxia’s Yokkaichi plant for an additional five years, reinforcing one of the flash memory industry’s longest running partnerships. Originally set to expire on December 31, 2029, the agreement will now run through December 31, 2034, which the companies describe as another milestone in a collaboration that has already lasted more than 25 years. The move signals a shared commitment to long term capacity planning and technology development in advanced 3D flash memory.

The extended agreement highlights the companies’ focus on Artificial Intelligence enabled smart manufacturing and the use of economies of scale at the Yokkaichi facility. By applying Artificial Intelligence to production processes, Kioxia and Sandisk aim to keep output stable while continuously improving efficiency and quality for high density 3D flash products. Their advanced 3D memory products are critical for addressing the growing demand driven by generative Artificial Intelligence applications, which require large volumes of high performance, reliable storage.

Alongside the Yokkaichi renewal, the companies confirmed that the joint venture agreement for Kioxia’s Kitakami plant is aligned with the same schedule. The joint venture agreement for Kioxia’s Kitakami Plant is aligned with the Yokkaichi agreement through December 31, 2034, ensuring that both major manufacturing hubs operate under a unified long term framework. Taken together, the extended agreements are positioned to support continued collaboration between Kioxia and Sandisk across multiple sites as they scale production of advanced 3D flash memory for data intensive workloads.

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