HBM4 Elevates AI Training Performance To New Heights


Generative and Agentic AI are pushing an extremely rapid evolution of computing technology. With leading-edge LLMs now in excess of a trillion parameters, training takes an enormous amount of computing capacity, and state-of-the-art training clusters can employ more than 100,000 GPUs. High Bandwidth Memory (HBM) provides the vast memory bandwidth and capacity needed for these demanding AI train... » read more

Trapped By Legacy


At Quadric, we do a lot of first-time introductory visits with prospective new customers. As a rapidly expanding processor IP licensing company that is starting to get noticed (even winning IP Product of the Year!) such meetings are part of the territory. Which means we hear a lot of similar-sounding questions from appropriately skeptical listeners who hear our story for the very first time. Th... » read more

Deploying PyTorch Models On Edge Devices


AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems because of their low power consumption and efficiency. This tutorial shows you how to deploy PyTorch models on Arm edge devices, such as the Raspberry Pi or NVIDIA Jetson Nano. Prerequisites Before y... » read more

High-Speed Test IO: Addressing High-Performance Data Transmission And Testing Needs For HPC & AI


By Lakshmi Jain and Wei-Yu Ma The AI and HPC industries are rapidly shifting toward chiplet-based designs to achieve unprecedented levels of performance, as traditional monolithic system-on-chip (SoC) architectures face scaling limitations. This transition is fueled by the rise of heterogeneous integration, which is driving innovation across the semiconductor sector. However, this advancemen... » read more

UALink: Powering The Future Of AI Compute


On April 25, the UALink Consortium officially released the UALink 200G 1.0 Specification, marking an important milestone with support from key hyperscalar market players. It enables a low-latency, high-bandwidth fabric that supports hundreds of accelerators in a pod and facilitates simple load-and-store semantics. Motivation behind UALink The rapid evolution of Artificial Intelligence (AI) an... » read more

Impact of AI On IP And Chip Design


By Global Semiconductor Alliance (GSA) In conjunction with the Global Semiconductor Alliance's IP Interest group, Expedera explores the impact of AI on intellectual property (IP) and Chip Design, providing comprehensive details and multifaceted data to cover all aspects of the semiconductor industry. It highlights AI growth trends, market predictions, and current silicon chip design innovati... » read more

Report: The Future of AI Processing


AI is now emerging in everyday use cases thanks to advances in foundational models, powerful chip technology, and abundant data. As a result, new approaches in AI compute are required to deploy these advanced use cases with minimal effort. This report features insights on how to move AI forward from industry leaders at AWS, Meta, Samsung and Arm, and includes research from MIT Technology Rev... » read more

Conversing With Your Dishwasher


What does "Error 22" mean on your smart appliance? Today, most people have to look it up on the internet, but that's about to change. John Weil, vice president and general manager for Synaptics IoT and Edge AI Processor business unit, talks about how AI can be inexpensively and efficiently utilized by mapping directly to a database using a natural language interface. Unlike today, that informat... » read more

Safety Architecture and Approaches for Automotive SW And HW Including ASIL D And AI/ML (Mercedes-Benz, U. Of Washington)


A new technical paper titled "Key Safety Design Overview in AI-driven Autonomous Vehicles" was published by researchers at Mercedes-Benz Research and Development North America and University of Washington . Abstract "With the increasing presence of autonomous SAE level 3 and level 4, which incorporate artificial intelligence software, along with the complex technical challenges they present... » read more

AI For Test: The New Frontier


Dr. Ming Zhang, PDF Solutions vice president of Fabless Solutions, delivered the keynote at the TestConX 2025 conference in March. As he began his presentation, Ming borrowed the “learn, explore and share” line from Ira Feldman, the organizer of the conference, to set the tone of his talk. He promised to share what he and PDF Solutions learned and what’s useful and what’s not useful as ... » read more

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