Revolutionising Edge Computing with AI's Storage Breakthrough

As artificial intelligence continues to permeate enterprise operations in widespread domains - from improving healthcare through advanced medical imaging, crime prevention via intricate fraud detection models, to enhancing wildlife conservation - the encumbrance of data storage is a critical issue that often arises. Yet, technological innovation is flourishing in this area and is catalysing the acceleration of enterprise AI use cases. During a discussion at VentureBeat’s Transform 2025, industry leaders highlighted the transformative power of cutting-edge storage technologies. The head of Product and Marketing at Solidigm, Greg Matson, and the CEO of PEAK:AIO, Roger Cummings, discussed how new storage solutions are helping drive AI application enhancements. Most notably, a pioneering framework known as MONAI is making waves in the realm of medical imaging by providing a more efficient, secure, and speedy model. Innovations in storage technology are pivotal: they enable researchers to expand upon this framework, fostering rapid iteration and innovation. Partnering with Solidgm, PEAK:AIO integrated power-efficient, high-performing, and high-capacity storage, allowing MONAI to hold upwards of two million full-body CT scans on a singular node within their IT setup. This revolutionary approach not only fuels the improvement of AI systems but also enhances the overall performance of these systems by ensuring they run entirely on solid state. Cumulatively, this innovation pushes the boundaries of storage solutions, bringing about enormous data quantities and remarkable processing power even in smaller systems at the edge. Looking ahead, the trajectory of AI hardware is apparent: it aims to render flexible, scalable solutions at memory speed using the latest available technology. The focus is on creating high-speed, high-capacity solutions that are also power efficient. Overall, the emergence of advanced storage technology has led to transformative gains in AI applications. By meticulously tackling the challenges posed by data storage, these innovations have given a powerful boost to AI inference, particularly in the realm of edge computing. This development is a testament to the relentless progress in the technology realm, demonstrating unprecedented potential for the future of artificial intelligence.