Seagate Showcases Next-Gen AI Storage Ecosystem at COMPUTEX 2026
Original: 迎戰 AI 資料洪流時代!Seagate 攜手四大夥伴於 COMPUTEX 2026 展現次世代儲存生態新格局
Seagate and partners showcased storage infrastructure for the AI data boom at COMPUTEX 2026.
At COMPUTEX 2026, Seagate partnered with QNAP, ACCUSYS, ASUSTOR, and ASUS to present a next-generation storage ecosystem for the AI era. The article highlights how AI-driven data growth is making high-capacity, reliable, and low-TCO storage infrastructure increasingly central. The focus is on storage as a key foundation for enterprise digital transformation and AI deployment.
This report from INSIDE focuses on Seagate's exhibition direction at COMPUTEX 2026. This time Seagate partnered with four major partners — QNAP, ACCUSYS, ASUSTOR, and ASUS — to present a next-generation storage ecosystem for the AI era, with the central theme being how enterprises, facing rapid data expansion, can build storage infrastructure better able to support AI applications and digital transformation. The report points out that AI is driving massive data growth, making data storage once again a core issue in enterprise technology planning. For enterprises, AI requires not only models, computing power, and application-layer tools, but also an underlying architecture capable of long-term preservation, management, and access to large volumes of data. As a result, high capacity, high reliability, and low TCO — that is, low total cost of ownership — have become key conditions by which storage solutions are being re-evaluated. From the content, this is not a single new hardware product launch, but rather Seagate, through collaboration with NAS, storage system, and hardware ecosystem partners, emphasizing a holistic solution mindset amid the AI data deluge. For Taiwanese readers, the key takeaway from this news is that discussions of AI infrastructure should not stop at GPUs, cloud computing power, or model APIs; data storage will likewise affect the cost, stability, and scalability of enterprise AI adoption. Especially in scenarios where generative AI, enterprise knowledge bases, image data, surveillance data, and training datasets continue to accumulate, if a storage system cannot balance capacity, reliability, and cost, it will become a bottleneck for the subsequent expansion of AI projects. Overall, this report falls under AI infrastructure and hardware ecosystem news, with moderate importance, and its main value lies in reminding the market that competition in the AI era does not happen only at the model end, but will also extend to data centers, enterprise storage, and the surrounding collaborative ecosystem.
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