Google is reportedly challenging Nvidia's AI chip dominance with its Tensor Processing Units (TPUs). Analysts predict a ...
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 (GOOGL) and Broadcom (AVGO) have scored a major hit with their jointly-developed Tensor Processing Unit (TPU) artificial-intelligence chips, even landing a new order from AI start-up Anthropic.
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 ...
Artificial intelligence infrastructure has emerged as the critical battleground for cloud computing dominance. At this year’s Google Cloud Next conference, the company demonstrated its intensified ...
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 ...
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 ...
Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead with Meta's collaboration.
Google Project Suncatcher is a new research moonshot to one day scale machine learning in space. Working backward from this potential future, they are exploring how an interconnected network of ...
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 ...