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 ...
Will Google’s TPU (Tensor Processing Unit) emerge as a rival to NVIDIA’s GPU (Graphics Processing Unit)? Last month, Google announced its new AI model ‘Gemini 3,’ stating, “We used our self-developed ...
The NVIDIA-Groq $20 billion deal announced on December 24, 2025 is a major strategic move in the AI hardware space. NVIDIA ...
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 ...
Google today introduced its seventh-generation Tensor Processing Unit, “Ironwood,” which the company said is it most performant and scalable custom AI accelerator and the first designed specifically ...
Alphabet's (GOOG) (GOOGL) Google said its seventh generation Tensor Processing Unit, or TPU, called Ironwood, will be launched for public use in the coming weeks. The chip was unveiled in April for ...
At the Google Cloud Next '25 conference, the company introduced the seventh-generation Tensor Processing Unit (TPU), Ironwood, designed for AI inference. This chip highlights Google's progress toward ...
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 ...
Apple unveiled its first stab at adding AI features to its iPhone and Mac platforms back at WWDC in June, which it is calling Apple Intelligence. The company has now revealed in a technical paper that ...
Google is collaborating with Meta to strengthen the ecosystem of its self-developed AI semiconductor, the Tensor Processing Unit (TPU), aiming to counter NVIDIA, the dominant player in Graphics ...
Google’s next two generations of smartphones will continue to leave power users wanting in many regards. Would Google be better off going back to Snapdragon? Has Google’s Tensor project already failed ...