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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
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
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
GenAI, the most talked-about manifestation of AI these days, imposes two tough constraints on a hardware platform. First, it demands massive memory to serve large language model with billions of parameters. Feasible in principle for a processor plus big DRAM off-chip and perhaps for some inference applications but too slow … 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
In the technology realm of artificial intelligence (AI) and high-performance computing (HPC), the demand for higher throughput and efficiency has never been greater. To meet these evolving demands, innovative memory solutions have emerged as critical enablers, paving the way for transformative advancements in computing… Read More
Podcast EP30: Interview with Tony Pialis, Alphawave IP
Podcast EP75: Getting There is Half the Fun – Connecting the Digital World with Alphawave IP
Podcast EP154: The Future of Custom Silicon – Views From Alphawave Semi’s Sudhir Mallya
Podcast EP206: An assessment of the Chiplet Ecosystem Movement with Alphawave’s Tony Chan Carusone
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