SanDisk Introduces High Bandwidth Flash to Boost AI Model Storage

Article Highlights
Off On

In a groundbreaking move, SanDisk has unveiled its revolutionary memory architecture named High Bandwidth Flash (HBF), marking a significant milestone since its separation from Western Digital. This innovative architecture combines the vast storage capacity of 3D NAND flash memory with the high bandwidth attributes typically linked to High Bandwidth Memory (HBM). The sophisticated hybrid memory structure utilizes the vertical stacking of 16 layers of 3D NAND dies, integrated with through-silicon vias (TSVs), to create intricate data pipelines that enable rapid data transfer.

Enhanced Storage and Bandwidth Capabilities

The HBF architecture deviates from traditional NAND designs by dividing each die into numerous sub-arrays that can be accessed randomly and in parallel. This design choice significantly boosts bandwidth while maintaining the cost-effective and high-capacity advantages of NAND. Furthermore, HBF provides 8 to 16 times more capacity per stack compared to current HBM solutions, making it particularly suitable for substantial AI workloads. For example, systems outfitted with eight HBF stacks could offer up to 4 terabytes of storage, enabling the direct storage of massive AI models such as GPT-4 on GPU hardware.

Despite its promising prospects, the HBF architecture does face some challenges. One of the primary issues is the inherently higher latency of NAND compared to DRAM, which can affect performance. Additionally, potential problems with write endurance and block-based addressing may arise. As a result, SanDisk is targeting HBF primarily for read-intensive AI inference tasks that require high bandwidth and capacity but can tolerate higher latency levels. Nonetheless, the architecture’s unique attributes make it a compelling choice for advancing AI model storage capabilities.

Open Standard and Future Applications

SanDisk’s HBF architecture epitomizes a remarkable blend of high capacity and high-speed attributes, which are critical for meeting the increasing demands for data processing and storage in today’s tech-driven world. This innovation is likely to significantly impact various sectors, from computing to data centers, making information access and management more efficient. By integrating the benefits of both 3D NAND and HBM, SanDisk has set a new benchmark in the memory industry, promising enhanced performance and greater efficiency.

Explore more

Resilience Becomes the New Velocity for DevOps in 2026

With extensive expertise in artificial intelligence, machine learning, and blockchain, Dominic Jainy has a unique perspective on the forces reshaping modern software delivery. As AI-driven development accelerates release cycles to unprecedented speeds, he argues that the industry is at a critical inflection point. The conversation has shifted from a singular focus on velocity to a more nuanced understanding of system

Can a Failed ERP Implementation Be Saved?

The ripple effect of a malfunctioning Enterprise Resource Planning system can bring a thriving organization to its knees, silently eroding operational efficiency, financial integrity, and employee morale. An ERP platform is meant to be the central nervous system of a business, unifying data and processes from finance to the supply chain. When it fails, the consequences are immediate and severe.

When Should You Upgrade to Business Central?

Introduction The operational rhythm of a growing business is often dictated by the efficiency of its core systems, yet many organizations find themselves tethered to outdated enterprise resource planning platforms that silently erode productivity and obscure critical insights. These legacy systems, once the backbone of operations, can become significant barriers to scalability, forcing teams into cycles of manual data entry,

Is Your ERP Ready for Secure, Actionable AI?

Today, we’re speaking with Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and enterprise systems. We’ll be exploring one of the most critical challenges facing modern businesses: securely and effectively connecting AI to the core of their operations, the ERP. Our conversation will focus on three key pillars for a successful integration:

Trend Analysis: Next-Generation ERP Automation

The long-standing relationship between users and their enterprise resource planning systems is being fundamentally rewritten, moving beyond passive data entry toward an active partnership with intelligent, autonomous agents. From digital assistants to these new autonomous entities, the nature of enterprise automation is undergoing a radical transformation. This analysis explores the leap from AI-powered suggestions to true, autonomous execution within ERP