GMIF2026 Exhibition Highlights: Pioneering Innovation in AI Memory and Storage Technologies
The Global Memory Innovation Forum 2026, commonly known as GMIF2026, was held recently at the Renaissance Shenzhen Bay Hotel in Shenzhen, China, co-hosted by the Shenzhen Memory Industry Association (SMIA) and the School of Integrated Circuits at Peking University. This annual event serves as a pivotal gathering for memory and storage industry leaders, focusing on innovative advancements and the future of AI memory technologies. The theme for this year's summit was ‘The Future Built on AI Memory and Storage,’ highlighting the critical role of AI in shaping these sectors.
This year's event attracted over 40 exhibitors who demonstrated their latest products and solutions across the memory and storage technology spectrum. Significant industry players provided insights into the trajectory of memory technologies in the AI era, indicating a notable shift towards superior system performance and energy efficiency as core priorities.
One of the prominent participants, Sandisk, showcased their latest innovations targeted at the industrial and automotive sectors. They introduced their iNAND AT EU752, an automotive UFS 4.1 embedded flash that incorporates the new 218-layer BiCS8 3D NAND technology. This product is specifically designed for extreme temperature conditions, certified to function in ranges from -40°C to 105°C, emphasizing safety and reliability in automotive applications. Sandisk also presented the SN861 NVMe drive, designed for enterprise applications, highlighting impressive read speeds of up to 13,700 MB/s, which addresses the growing demands for high performance in data-intensive environments.
Another key player, Silicon Motion, revealed a comprehensive controller portfolio for various AI applications. Their flagship SM8466 model is built using TSMC's cutting-edge 4nm technology and supports the latest PCIe Gen6 enterprise platforms. It promises remarkable performance with read speeds reaching 28GB/s and supports drives larger than 512TB. This positions Silicon Motion as a central figure in the development of infrastructure for AI factories and autonomous automotive systems.
Lenovo also made headlines at GMIF2026, showcasing its commitment to comprehensive AI solutions with its WenTian AI training and inference integrated servers. Their systems support advanced processing capabilities through the latest Intel Xeon and AMD EPYC architecture, illustrating Lenovo's ambition to dominate the AI infrastructure landscape.
BIWIN introduced a revolutionary storage portfolio that covers cloud, edge, and on-device solutions, projecting higher operational efficiency and customization capabilities. Their demonstrations included various storage types aimed at AI applications, emphasizing the need for versatile and high-performance memory components.
Emerging companies like Numbers Law exhibited their next-generation Parallel Magnetic Drive (PMD), claimed to significantly surpass conventional HDDs in both bandwidth and IOPS performance, supporting the increasing data demands of AI data centers across China.
Other players like Infplane, Genstoraige, and NEXWISE further contributed to the dialogue on innovation through their demonstrated solutions in AI native storage architectures, along with frameworks for enhancing cloud computing and security infrastructures. The breadth of exhibitors highlights the collaborative spirit within the memory and storage technology fields as they work towards meeting the burgeoning needs posed by the AI transformation.
In addition to product showcases, the forum also featured keynote speeches and networking opportunities aimed at fostering collaboration among memory manufacturers, end-users, and technology experts. Discussions focused on the collective efforts needed to address performance limitations and enhance the overall value of memory technologies in the AI domain.
As GMIF2026 closed its curtains, it marked a significant step forward in establishing a collaborative ecosystem among the major players in the memory industry. Collectively, they aimed to break through current compute bottlenecks and establish a robust foundation for the global AI landscape. The forward-looking perspectives shared at the forum illustrated the merging of traditional memory technologies with cutting-edge advancements in AI, promising to drive future innovations and applications that exceed current capabilities.
Looking ahead, GMIF organizers will continue to work closely with industry partners to facilitate further advances in memory and storage technology, ensuring that these innovations align with the transformative needs of AI. This event has undoubtedly solidified itself as a critical platform for driving the next wave of memory advancements in an increasingly AI-driven world.
This year's event attracted over 40 exhibitors who demonstrated their latest products and solutions across the memory and storage technology spectrum. Significant industry players provided insights into the trajectory of memory technologies in the AI era, indicating a notable shift towards superior system performance and energy efficiency as core priorities.
One of the prominent participants, Sandisk, showcased their latest innovations targeted at the industrial and automotive sectors. They introduced their iNAND AT EU752, an automotive UFS 4.1 embedded flash that incorporates the new 218-layer BiCS8 3D NAND technology. This product is specifically designed for extreme temperature conditions, certified to function in ranges from -40°C to 105°C, emphasizing safety and reliability in automotive applications. Sandisk also presented the SN861 NVMe drive, designed for enterprise applications, highlighting impressive read speeds of up to 13,700 MB/s, which addresses the growing demands for high performance in data-intensive environments.
Another key player, Silicon Motion, revealed a comprehensive controller portfolio for various AI applications. Their flagship SM8466 model is built using TSMC's cutting-edge 4nm technology and supports the latest PCIe Gen6 enterprise platforms. It promises remarkable performance with read speeds reaching 28GB/s and supports drives larger than 512TB. This positions Silicon Motion as a central figure in the development of infrastructure for AI factories and autonomous automotive systems.
Lenovo also made headlines at GMIF2026, showcasing its commitment to comprehensive AI solutions with its WenTian AI training and inference integrated servers. Their systems support advanced processing capabilities through the latest Intel Xeon and AMD EPYC architecture, illustrating Lenovo's ambition to dominate the AI infrastructure landscape.
BIWIN introduced a revolutionary storage portfolio that covers cloud, edge, and on-device solutions, projecting higher operational efficiency and customization capabilities. Their demonstrations included various storage types aimed at AI applications, emphasizing the need for versatile and high-performance memory components.
Emerging companies like Numbers Law exhibited their next-generation Parallel Magnetic Drive (PMD), claimed to significantly surpass conventional HDDs in both bandwidth and IOPS performance, supporting the increasing data demands of AI data centers across China.
Other players like Infplane, Genstoraige, and NEXWISE further contributed to the dialogue on innovation through their demonstrated solutions in AI native storage architectures, along with frameworks for enhancing cloud computing and security infrastructures. The breadth of exhibitors highlights the collaborative spirit within the memory and storage technology fields as they work towards meeting the burgeoning needs posed by the AI transformation.
In addition to product showcases, the forum also featured keynote speeches and networking opportunities aimed at fostering collaboration among memory manufacturers, end-users, and technology experts. Discussions focused on the collective efforts needed to address performance limitations and enhance the overall value of memory technologies in the AI domain.
As GMIF2026 closed its curtains, it marked a significant step forward in establishing a collaborative ecosystem among the major players in the memory industry. Collectively, they aimed to break through current compute bottlenecks and establish a robust foundation for the global AI landscape. The forward-looking perspectives shared at the forum illustrated the merging of traditional memory technologies with cutting-edge advancements in AI, promising to drive future innovations and applications that exceed current capabilities.
Looking ahead, GMIF organizers will continue to work closely with industry partners to facilitate further advances in memory and storage technology, ensuring that these innovations align with the transformative needs of AI. This event has undoubtedly solidified itself as a critical platform for driving the next wave of memory advancements in an increasingly AI-driven world.
Topics Consumer Technology）
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