WD and Tohoku University Launch AI Data Infrastructure Lab to Accelerate the Future of AI Storage

Western Digital Corporation (Nasdaq: WDC), the storage foundation of the AI-driven data economy, and Tohoku University today announced the establishment of the WD × Tohoku University AI Data Infrastructure Lab, a joint research institute dedicated to developing the next generation of storage technologies and cultivating the talent needed to support the continued growth of AI infrastructure.

Located at the Research Institute of Electrical Communication (RIEC) on Tohoku University's Katahira Campus in Sendai, Japan, the institute brings together complementary expertise spanning advanced recording materials, device physics, and storage systems engineering.

From left to right: Yukiya Shimizu (Sr. Technologist, WD), Masayoshi Shimokoshi (Sr. Director, WD),
Hisashi Takano (Japan Country Officer, WD), Teiji Tominaga (President, Tohoku University),
Tsuyoshi Toyama (Executive Vice President, Tohoku University), Kazushi Ishiyama (Director, RIEC)

The rapid adoption of AI is driving exponential growth in data generation, and hard disk drives (HDDs) remain the foundation for storing the vast majority of that data. According to IDC¹, approximately 80 percent of the data accumulated in cloud data centers today resides on HDDs, underscoring the need for technologies that dramatically increase recording capacity while lowering total cost of ownership. By bringing together WD's data infrastructure expertise with Tohoku University's world-class academic research and talent, the WD × Tohoku University AI & Data Infrastructure Lab is uniquely positioned to develop even more innovations for a scalable AI data ecosystem.

The technologies that will power the AI-driven data economy over the next decade will increasingly be built through collaboration between industry and academia, making partnerships like this essential to accelerating innovation.

“AI is reshaping the world's digital infrastructure, creating unprecedented demand for storage innovation. Meeting that challenge will require breakthroughs in materials science, recording technologies, and engineering that no single organization can achieve alone. By bringing together Tohoku University's world-class research capabilities with WD's decades of leadership in storage innovation, we're accelerating the technologies, and developing the talent, that will help define the future of AI infrastructure,” said Hisashi Takano, Japan Country Officer, WD. “At WD, we're investing today in the scientific breakthroughs that will define AI storage for the next decade."

The institute started operating on July 1, 2026, and will extend through June 30, 2029, under RIEC Tohoku University, which promotes collaborative research and human resource development through close partnerships between academia and industry.

¹ IDC Source: IDC Global StorageSphere Forecast, 2026–2030, Doc #US54601626, June 2026

ABOUT WD
WD, also known as Western Digital, builds the storage infrastructure that powers certainty in the AI-driven data economy. At the forefront of innovation, WD partners with the world's leading hyperscalers, cloud service providers, and enterprises to deliver reliable storage solutions that are proven and trusted at scale. Driven by a culture of innovation and execution, WD helps customers store, protect, and use the world's data with confidence. Follow WD on LinkedIn and learn more at www.wd.com.

ABOUT TOHOKU UNIVERSITY
Since its founding, Tohoku University has upheld three core values: Research First, Open-Doors, and Practice-oriented Research and Education. In 2024, it was accredited as Japan’s first “University for International Research Excellence”, leading global research and education in both name and reality. The university possesses a comprehensive research capability that spans fundamental physical properties, including materials science, quantum technology, and AI, to information content. In addition to cutting-edge technological development, the university continues to create future innovations through interdisciplinary approaches that transcend academic boundaries such as its traditional collaboration between medicine and engineering.