Artificial intelligence (AI) has revolutionized data center infrastructure, requiring a reimagining of computational, memory, and connectivity technologies. Meeting the increasing demand for high performance and efficiency in AI workloads has led to the emergence of innovative solutions, including chiplets, advanced… Read More
As semiconductor technology advances and nodes continue to shrink, designers are faced with increasing challenges related to device complexity, power consumption, and reliability. The delicate balance between high performance, low power usage, and long-term reliability is more critical than ever. This growing demand … Read More
Artificial intelligence (AI) is driving a transformation in data center infrastructure, necessitating cutting-edge technologies to meet the growing demands of AI workloads. As AI systems scale up and out, next-gen compute servers, switches, optical-electrical links, and flexible, redundant networking solutions are … Read More
Artificial intelligence (AI) and machine learning (ML) are evolving at an extraordinary pace, powering advancements across industries. As models grow larger and more sophisticated, they require vast amounts of data to be processed in real-time. This demand puts pressure on the underlying hardware infrastructure, particularly… Read More
Entering the exhibit area of DAC on the first floor I was immediately faced with the Keysight EDA booth, and it was even larger than either the Synopsys or Cadence booths. They had a complete schedule of partners presenting in their theatre that included: Microsoft Azure, Riscure, Fermi Labs, BAE Systems, Alphawave, Intel Foundry,… Read More
In the rapidly evolving fields of high-performance computing (HPC) and artificial intelligence (AI), reducing time to market is crucial for maintaining competitive advantage. HBM3E systems play a pivotal role in this regard, particularly for hyperscaler and data center infrastructure customers. Alphawave Semi’s… Read More
In the rapidly evolving landscape of high-performance computing (HPC) and artificial intelligence (AI), the demand for increased processing power, efficiency, and scalability is ever-growing. Traditional monolithic chip designs are increasingly unable to keep pace with these demands, leading to the emergence of chiplets… Read More
The increasing demands of data-intensive applications necessitate more efficient storage and memory utilization. The rapid evolution of AI workloads, particularly with Generative AI (GenAI), demands infrastructure that can adapt to diverse computational needs. AI models vary widely in resource requirements, necessitating… Read More
Artificial Intelligence (AI) continues to revolutionize industries, from healthcare and finance to automotive and manufacturing. AI applications, such as machine learning, deep learning, and neural networks, rely on vast amounts of data for training, inference, and decision-making processes. As AI algorithms become … Read More
The rapid advancement of technology, including generative AI, IoT, and autonomous vehicles, is revolutionizing industries and enhancing efficiency. At the same time, such advances also generate huge amounts of data to be transmitted and processed to make sense and provide value to consumers and society as a whole. In essence,… Read More
