This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

The company began using its in-house AI chip, the Tensor Processing Unit (TPU), developed with TensorFlow, in 2015. ・Broadcom ...

The Real AI Battle Isn't in Chips -- It's in Compute Efficiency. Here's the Stock Positioned to Win. The company's structural ...

As the demand for AI applications grows, the biggest bottleneck isn't merely a shortage of chips; it's the escalating need for power. This article explores how Alphabet's vertically integrated tech ...

If there is one company that looks well positioned to benefit from the next decade of artificial intelligence (AI) growth, it ...

Alphabet's cloud computing division, although currently ranked third by market share, is uniquely equipped for future growth. One of its primary advantages lies in its comprehensive technology stack.

K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...

VeriSilicon (688521.SH) recently announced the joint launch of the Coral NPU IP with Google, targeting always-on, ultra-low-energy edge Large Language Model (LLM) applications. The IP is based on ...

Google said Gemini 3 Pro outperforms OpenAI GPT-5.1 and Claude Sonnet 4.5 across significant independent AI benchmarks, ...

Introduction Venturing into AI without breaking the bank is a reality for many by choosing the right budget GPU. As AI ...