Achieving Reliable 2m+ DAC Connectivity For AI Scale Networks With 224G PHY IP


As artificial intelligence workloads and hyperscale data centers continue to evolve, the requirements for networking infrastructure are becoming increasingly stringent. High-speed, reliable connectivity is essential to support the massive data flow and low-latency demands of AI-scale environments. Passive direct attach copper (DACs) remains an attractive choice for hyperscalers and system vendo... » read more

GDDR7 Tackles Massive-Context AI Inference


The AI hardware landscape is evolving at breakneck speed, and memory technology is at the heart of this transformation. NVIDIA’s recent announcement of Rubin CPX, a new class of GPU purpose-built for massive-context inference, underscores this trend. Rubin CPX is designed to tackle workloads that require reasoning across millions of tokens. Use cases include long-form generative video, comple... » read more

Overflowing Zoo: The Power Of Compilers


The term “model zoo” first gained prominence in the world of Artificial Intelligence/Machine Learning (AI/ML) beginning in the 2016-2017 timeframe. Originally used to describe open-source public repositories of working AI models — the most prominent of which today is Hugging Face — the term has since been adopted by nearly all vendors of AI chips and licensable Neural Processors Units (... » read more

Using AI/ML To Find And Correlate IC Test Data


What causes low yield in wafers? Usually it's due to design or process changes, but sometimes yield issues occur even if there haven't been any changes from one manufacturing lot to the next. Finding the cause requires some sleuthing, and the best approach for pinpointing problems is to mine design, process, and manufacturing data, and to correlate that data by date and time, by which equipment... » read more

The Future Of Semiconductor Manufacturing: How AI And Industry Collaboration Are Reshaping The Value Chain


The semiconductor industry stands at an inflection point. As Moore's Law scaling becomes increasingly challenging and system complexity explodes through advanced packaging and chiplet-based architectures, the traditional siloed approach to manufacturing must give way to an unprecedented level of industry collaboration. This transformation, driven by the convergence of artificial intelligence, c... » read more

Critical Optimization Factors For GenAI Chipmakers


Today’s GenAI arms race is fought with novel chip architectures and packaging. Specialized hardware designs are proliferating in the form of GPUs, TPUs, NPUs, and more, all tuned for parallelism and matrix-heavy AI math. In this hyper-competitive landscape, chip vendors scramble to differentiate their products on multiple fronts. They promise some mix of better performance, efficiency, or ... » read more

New Frontiers In Fault Detection And Classification


IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) to trace faults to their cause. Today’s FDC systems feature better sensors, variability control, and both predictive and prescriptive modeling. In the future, FDC will enable real-time decisio... » read more

A Hybrid Subsystem Architecture To Elevate Edge AI


The world of artificial intelligence is moving beyond the cloud and into our everyday devices from smart sensors to robotics and AR/VR headsets. One of the key components that enables this shift is a neural processing unit (NPU), also known as an AI accelerator, which is a specialized hardware designed to execute AI models. Optimized for neural network, deep learning, and machine learning tasks... » read more

The Rise Of Scalable AI SoCs For The IoT Device Edge


The landscape of computing is undergoing a profound transformation, with Artificial Intelligence (AI) at its forefront. This shift is particularly evident at the device edge, where traditional System-on-Chip (SoCs) implementations are being reimagined to effectively support demanding AI and machine learning (ML) workloads. This evolution necessitates the development of a new class of AI-capa... » read more

How 3D-IC Will Change Chip Design


Experts at the Table: Semiconductor Engineering sat down to discuss 3D-IC design challenges and the impact on stacked die on EDA tools and methodologies, with John Ferguson, senior director of product management at Siemens EDA; Mick Posner, senior product group director for chiplet at IP solutions in Cadence's Compute Solutions Group; Mo Faisal of Movellus; Chris Mueth, new opportunities busine... » read more

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