Enabling The Future: Heterogeneous Integration From Connected Devices To Data Centers


The digital landscape is evolving at an unprecedented pace. From smartphones and wearables to autonomous vehicles and hyperscale data centers, the demand for faster, smarter, and more efficient electronics is reshaping the semiconductor industry. At the core of this transformation is heterogeneous integration—the convergence of multiple technologies, functions, and components into unified sys... » 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

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

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

Artificial Intelligence Of Things (AIoT) Guide


For organizations exploring connected technologies, the conversation around the Internet of Things (IoT) has shifted. They are looking to make devices smarter, responsive and capable of operating with greater insight. The Artificial Intelligence of Things (AIoT) combines the sensor-driven, networked structure of IoT with the decision-making power of artificial intelligence (AI) at the edge t... » read more

Re-Architecting AI For Power


The industry is becoming increasingly concerned about the amount of power being consumed by AI, but there is no simple solution to the problem. It requires a deep understanding of the application, the software and hardware architectures at both the semiconductor and system levels, and how all of this is designed and implemented. Each piece plays a role in the total power consumed and the utilit... » read more

Transformers At The Edge: Efficient LLM Deployment


Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid the foundation for Large Language Models (LLMs) and Video Language Models (VLMs), fueling a wave of productization across the industry. A defining milestone was the public launch of ChatGPT in... » read more

Report: The AI Efficiency Boom


Artificial Intelligence (AI) is undergoing a fundamental transformation. While early AI models were large, compute-heavy, and dependent on cloud processing, a new wave of efficiency-driven innovations is moving AI inference—the generation of model results—to the edge. Smaller models, improved memory and compute performance, and the need for privacy, low latency, and energy efficiency are dr... » read more

The Complete Guide To Intelligent Edge Technology


The rise of edge technology is transforming how data is processed and decisions are made, right where data is generated. Unlike traditional cloud computing, intelligent edge computing pushes processing closer to the source, enabling faster responses and improved efficiency. The global edge AI market reflects this shift, which was valued at $20.78 billion in 2024. By 2030, it's projected to gro... » read more

← Older posts Newer posts →