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

万协通并非单纯的芯片制造者，而是底层计算架构的深度重构者。公司的核心技术特征在于对基础运算单元（BOU）原子性与可塑性的极致挖掘。正是基于这一“底层重构”基因，万协通打造了革命性的可重构TPU芯片——它能根据AI模型的需求，通过配置动态重组BOU这些 ...

The AI hardware market is undergoing a major transformation. Nvidia's dominance with GPUs is being challenged by specialized ...

Nvidia’s Rubin chips make AI cheaper and scalable. Here’s why that shift strengthens Bittensor’s open AI market.

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 ...

Alphabet Inc. surpasses $4 trillion market cap, overtaking Apple as AI leader with Gemini powering Siri and strong investor ...

TorchStore provides a distributed, asynchronous tensor storage system built on top of Monarch actors. It enables efficient storage and retrieval of PyTorch tensors across multiple processes and nodes ...

Investing.com - 谷歌(Google)(NASDAQ:GOOGL)正在为2026年人工智能基础设施的重大扩张做准备，其第七代张量处理单元(Tensor Processing ...

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.

In a pivotal move that could reshape the AI hardware landscape, Nvidia has reportedly secured approximately 90% of the workforce from AI chipmaker Groq, including its CEO and the renowned inventor of ...