Tulkas T100 GPU could transform AI inference, tackling massive computations

Tulkas T100 optical GPU could transform AI inference, tackling massive computations previously impossible for current silicon ...
IEEE

Fundamental Principles of Heterogeneous Multi-Threading and Computational Process Optimization on Mobile Devices with Tensor and Neural Processing Units

Abstract: Modern mobile devices increasingly integrate specialized neural and tensor processing units alongside traditional CPU and GPU architectures, creating heterogeneous computing environments ...
IEEE

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator

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 ...
CNBC

Alphabet hits $4 trillion market capitalization

Google parent company Alphabet has become the fourth member of the $4 trillion club Alphabet's stock climbed to record highs after investment firms said they see more upside for Google in 2026. Apple ...
The Motley Fool

3 Top Artificial Intelligence Stocks to Buy in January

The artificial intelligence ASICs market is heating up, and it's time to buy some top stocks in this field in January. Artificial intelligence (AI) stocks helped lead the market higher in 2025, and so ...
24/7 Wall St

Here’s Why Taiwan Semiconductor Manufacturing Holds the Keys to AI’s Explosive Growth

Taiwan Semiconductor Manufacturing (TSM) controls advanced packaging capacity that determines which AI chipmakers can scale production. Google reportedly cut its 2026 TPU production target from 4 ...
EconoTimes

Google Accelerates AI Infrastructure With Ironwood TPU Expansion in 2026

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.