Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is designed for powerful next-generation AI models.

Google Gemini 2 AI model (just released) were trained with over 100,000 Trillium chips have been deployed in a single network fabric, enabling massive-scale AI operations. xAI has already trained Grok ...

Google CEO Sundar Pichai emphasized Google’s longstanding commitment to AI innovation, stating, “Google was born for this moment. We have been a pioneer in GPUs for more than a decade.” Pichai then ...

Much of Google's AI software doesn't run on industry-standard Nvidia chips, but instead on its own tensor processing units.

When Alphabet (NASDAQ:GOOGL) announced 2026 capital expenditure guidance of $175-$185 billion during its Q4 2025 earnings ...

The Google Tensor G5 has been announced, and the company claims that it brings the biggest leap in performance yet, as far as Tensor chips are concerned. This is the first TSMC-made Tensor chip with a ...

Google (NASDAQ:GOOG) (NASDAQ:GOOGL) is turning to Taiwan-based MediaTek to help it develop and produce the next generation of its tensor processing unit processors, designed for artificial ...

Nvidia’s position as the dominant supplier of AI chips may be under threat from a specialised chip pioneered by Google, with reports suggesting companies like Meta and Anthropic are looking to spend ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...