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Edge AI Development Is a Lifecycle Problem

Edge AI Development Is a Lifecycle Problem

Edge AI success is limited by memory and power. Fragmented tools cause failures. Learn how a cohesive, full-lifecycle approach unifying design and deployment is essential for scalable systems.


Solving the QLC NAND Flash SSD Scaling Challenge

Solving the QLC NAND Flash SSD Scaling Challenge

Learn how to solve QLC NAND's endurance, ECC, and performance issues for hyperscale. The approach blends a PCIe Gen5 controller with hardware-accelerated LDPC, PerformaShape QoS, and more.


AI’s Appetite for Memory: Can Hardware Designs Keep Pace?

AI’s Appetite for Memory: Can Hardware Designs Keep Pace?

Memory selection has become a priority, as AI system designs demand more memory. Learn how to navigate hardware designs impacts and supply chain issues, and how BOM management tools help smooth the way.


Rethinking Computational Storage: Unlock the Processing Power of SSDs

Rethinking Computational Storage: Unlock the Processing Power of SSDs

Generic concepts of computational storage are a dead end, but targeted accelerators leveraging the massive on-board bandwidth of solid-state drives may benefit high-performance computing.


Edge AI Demands Call For Optimized Storage Controller Chips

Edge AI Demands Call For Optimized Storage Controller Chips

AI will push the limits of PCs and smartphones. In turn, demands on storage controller chips will be intense. Learn how chip architectures and firmware schemes must be optimized for these AI workloads.


Rethinking MCU Architectures for the AI Era

Rethinking MCU Architectures for the AI Era

MCUs that only do control tasks are one thing. But in today’s AI age, a truly AI-enabled MCU needs to offer more. Learn the important factors—from optimized neural processing units (NPUs) to power efficient architectures to clever memory topologies.


Understanding How CXL 3.0 Links the Data Center Fabric

Understanding How CXL 3.0 Links the Data Center Fabric

The CXL data protocol is essential for meeting the interconnect needs of today’s data centers. Learn the key elements and benefits of this protocol, along with what’s new in CXL version 3.0.


System Challenges of Generative AI Inference Acceleration

System Challenges of Generative AI Inference Acceleration

When you look under the hood of generative AI processing, the system design challenges are many. Learn how efficiency, power consumption, and memory issues all come into play.


Understanding the Compute Hardware Behind Generative AI

Understanding the Compute Hardware Behind Generative AI

Generative AI tools like ChatGPT have had a huge impact in numerous sectors of society. As engineers, it’s helpful for us to understand the computing technology that makes it possible.


LPDDR Flash: Enabling Automotive Electrical and Electronic (E/E) Architectures

LPDDR Flash: Enabling Automotive Electrical and Electronic (E/E) Architectures

As vehicles shift to being autonomous and fully connected, automotive E/E architectures are transforming to meet these evolving requirements.


Choosing the Right Redriver or Retimer Device to Extend PCIe Protocol Signal Range

Choosing the Right Redriver or Retimer Device to Extend PCIe Protocol Signal Range

Redriver or retimer devices can extend the Peripheral Component Interface Express (PCIe®) protocol signal range. This article discusses how to select the best one for compute system and NVMe™ storage applications today and into the future.