Author's Latest Posts


AI Inference Needs A Mix-And-Match Memory Strategy


AI inference is no longer a single workload that can be served efficiently by a single type of accelerator or memory. From fast chat replies to 10M token codebases, inference spans wildly diverse workloads with very different limits on latency, bandwidth, capacity, and compute, as the figure below demonstrates.1 Source: Meta1 The AI inference spectrum of workloads includes: Inter... » read more

Why Anti-Tamper Sensors Matter: Delivering A Comprehensive Security Solution


If your device processes valuable data, controls a critical function, or connects to a wider network, it’s a target. Attackers don’t just try to break software; they increasingly physically tamper with hardware: probing, fault injecting, or opening enclosures to bypass protections and extract secrets. The consequences range from IP theft and fraud to orchestrated downtime across fleets ... » read more

LPDDR: A Versatile Memory Powering The Next Wave Of Mobile, Edge & Endpoint Computing


The world of computing is evolving at a breakneck pace. From smartphones and ultra-thin laptops to autonomous vehicles and edge AI devices, the demand for memory that balances performance, power efficiency, and compact form factors has never been greater. This shift is driven by a few undeniable trends, including the increased deployment of AI models across verticals at the edge and higher us... » read more

Maximize Uptime And Improve TCO: RAS And Telemetry In HBM4 For Data Centers


As AI workloads scale and data center operations become increasingly complex, it is critical to keep the infrastructure up and running. Total Cost of Ownership (TCO) is a key metric that includes not only the upfront cost of hardware but also the ongoing expenses of power, cooling, maintenance, and—most importantly—downtime. A single memory failure in a hyperscale AI cluster can cascade int... » read more

Enabling Next-Generation Automotive Zonal Architecture With MIPI


The evolution of automotive architecture has followed three key stages: distributed architecture, domain-centralized architecture, and emerging zonal architecture. Each stage reflects advancements in functionality, complexity, and efficiency. Distributed architecture, prevalent in early vehicles, relied on numerous function-specific Electronic Control Units (ECUs). While effective for modularit... » read more

Optimizing Data Center TCO With CXL And Compression


In the ever-evolving landscape of data centers, Total Cost of Ownership (TCO) remains a critical metric. It encompasses all costs associated with data center infrastructure throughout its lifecycle, including initial purchase, installation, utilization, maintenance, energy consumption, and eventual replacement. By understanding and optimizing TCO, hyperscalers can make informed decisions that e... » read more

Confidential Computing: A Key To Secure Cloud And Edge Environments


Historically, data security was primarily focused on safeguarding data residing within systems controlled by the users themselves, such as on-premise storage and server infrastructure. In such a siloed environment, information stored on the storage media, Data-at-Rest, was encrypted to ensure security. Data-in-Motion (aka Data-in-Transit) was safeguarded by encrypting it before transmitting it ... » read more