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You are here: Home / Videos / Industry First SSDs Tackle AI Challenges with Solidigm

Industry First SSDs Tackle AI Challenges with Solidigm



AI Infrastructure Field Day 2


This video is part of the appearance, “Solidigm Presents at AI Infrastructure Field Day 2“. It was recorded as part of AI Infrastructure Field Day 2 at 13:30 - 15:30 on April 23, 2025.


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Solidigm’s Director of Leadership Narrative and Evangelist, Scott Shadley, introduces their new SSDs designed to tackle the challenges of AI infrastructure. Shadley begins by highlighting the industry-first status of their 122TB SSDs, emphasizing their potential to revolutionize storage solutions. He shares a case study involving Dell, who is excited to potentially introduce this product, illustrating a significant reduction in footprint and power consumption compared to traditional hybrid storage solutions using hard drives and SSDs for cache. A 9-to-1 reduction in rack space and a 90% reduction in network footprint lead to the possibility of utilizing 50% more servers within the same infrastructure.

The presentation then delves into the specifics of the 122TB SSD, emphasizing its high reliability and efficiency and its design to ensure longevity. It also reveals how the product is not just a drive but an entire ecosystem. The slide show then goes on to detail the product’s inner workings, from the stacking of the drives to the packaging and how the firmware has been adapted to work in the current state of the technology.

Finally, Shadley showcases a liquid-cooled direct-attach storage solution, designed in partnership with NVIDIA for their GB300 platform. The design uses a single-sided cold plate for cooling, allowing hot-swappable drives within a fully liquid-cooled system. This design innovation eliminates the need for fans while maintaining the flexibility and reliability expected from traditional storage. The presentation concludes with a reiteration of Solidigm’s commitment to continuous innovation and its focus on providing solutions that address the evolving needs of AI infrastructure.

Personnel: Scott Shadley


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