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

Silent Data Errors Still Slipping Through The Cracks


Silent data corruption errors in large server farms have become a major concern of cloud users, hyperscalers, processor manufacturers and the test community. Silent data errors (also called silent data corruption errors) are hardware errors that occur when an incorrect computational result from a processor core goes undetected by the system. The data is silently corrupted because neither sof... » read more

Chip Industry Week In Review


The chip industry is well on its way to hit $1 trillion in revenue by the end of its decade. Several analyst firms released 2024 annual results and 2025 predictions: Worldwide semiconductor revenue reached $626 billion in 2024, an 18% increase versus 2023, according to preliminary Gartner report. Memory revenue grew about 70%  2024 versus 2023. The firm forecasts that HBM will make up 19%... » read more

Secure Networking With MACsec, IPsec, And TLS


As digital networks grow in complexity, securing data in transit has become a top priority. Cyber threats, ranging from man-in-the-middle attacks to large-scale data breaches, make strong encryption and authentication mechanisms essential. But network security is not a one-size-fits-all solution. Instead, it operates at different layers of the OSI model, with each layer offering unique protecti... » read more

Automotive Outlook 2025: Ecosystem Pivots Around SDV


The automotive industry is deep in the throes of a massive shift to software-defined vehicle architectures, a multi-year effort that will change the way automotive chips are designed, where they are used, and how they are sourced. Creating a new vehicle architecture is no small feat. OEMs need to figure out who to partner with and which aspects of their current architecture to include. This ... » read more

Automotive Security Shifts To The System Level


Cars are getting smarter, more complicated, and more vulnerable to cyberattacks. As the amount of semiconductor and software content continues to increase, so does the number of over-the-air updates and connections to edge-based servers and services, adding a variety of new vectors for attacks. Properly securing vehicles requires engineers to first identify all the possible connection points... » read more

Blog Review: Feb. 5


Cadence's Rajneesh Chauhan explores the extended metadata feature in CXL 3.1, which helps systems manage memory and devices more effectively by sending extra information along with memory transactions to provide more context about what's happening during these transactions. Siemens' Bianca Ward recommends semiconductor companies combat rising production costs by leaning into digitalization a... » read more

The Road To Super Chips


Reticle size limitations are forcing chip design teams to look beyond a single SoC or processor in order to achieve orders of magnitude improvements in processing that are required for AI. But moving data between more processing elements adds a whole new set of challenges that need to be addressed at multiple levels. Steve Woo, distinguished inventor and fellow at Rambus, examines the benefits ... » read more

Automotive OEMs Face Multiple Technology Adoption Challenges


Experts At The Table: The automotive ecosystem is in the midst of significant change. OEMs and tiered providers are grappling with how to deal with legacy technology while incorporating ever-increasing levels of autonomy, electrification, and software-defined vehicle concepts, just to name a few. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, seni... » read more

Choosing The Right Memory Solution For AI Accelerators


To meet the increasing demands of AI workloads, memory solutions must deliver ever-increasing performance in bandwidth, capacity, and efficiency. From the training of massive large language models (LLMs) to efficient inference on endpoint devices, choosing the right memory technology is critical for chip designers. This blog explores three leading memory solutions—HBM, LPDDR, and GDDR—and t... » read more

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