Overview Leading US AI companies are driving innovation by advancing agentic systems, enterprise automation, and large-scale ...

The landscape of artificial intelligence (AI) infrastructure experienced a seismic shift in recent months. Nvidia, which is ...

Abstract: The increasing complexity and scale of Deep Neural Networks (DNNs) necessitate specialized tensor accelerators, such as Tensor Processing Units (TPUs), to meet various computational and ...

This market-cap weighted ETF nearly tripled the performance of the S&P 500. As a long-term outperformer, the semiconductor ...

Nvidia’s new, more efficient racks could lessen the need for products that use cold water to remove excess heat from data ...

This article was initially sent to press before the Lansing Zoning Board of Appeals met to make a decision on whether ...

Motley Fool Senior Analyst Asit Sharma predicts that smaller semiconductor stocks will outperform in the coming years, but ...

Google (NASDAQ: GOOGL) is preparing for a major expansion of its AI infrastructure in 2026 as it moves its seventh-generation Tensor Processing Unit (TPU), known as Ironwood, into mass deployment.

Nvidia shares are drifting but reports of strong demand for its artificial-intelligence processors in China could point the way to future gains.

Amid ongoing US export restrictions, Chinese company Zhonghao Xinying plans to launch its second-generation self-developed Tensor Processing Unit (TPU) chip in 2026. Industry observers predict ...

Dec 17 (Reuters) – Alphabet’s Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the world’s most widely used AI software framework, in a move ...

Google and Broadcom have scored a big hit with their jointly-developed artificial-intelligence chips. So it might be a surprise to hear Broadcom playing down the prospects for the Tensor Processing ...