Dec 17 (Reuters) – Alphabet’s Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the world’s most widely used AI software framework, in a move ...

Alphabet’s growing focus on its own AI chips is changing how investors view the race for leadership in the semiconductor industry, a Bloomberg report said on Thursday. What began as an internal effort ...

Google’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...

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 ...

Nvidia has asserted that its graphics processing unit (GPU) platform remains a full generation ahead of its competitors, responding to increased attention on Google's Tensor Processing Unit (TPU) in ...

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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 ...

Google has spent more than a decade developing silicon, a bet that's paying off in a big way from the AI boom. The company says increased demand for its Tensor Processing Units, or TPUs, is one reason ...

Google has introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU), designed for large-scale AI model training, reinforcement learning, and inference. Save my User ID and Password ...

Google said it's making Ironwood, the company's most powerful chip yet, widely available in the coming weeks. Ironwood, the seventh generation of Google's Tensor Processing Unit (TPU), was initially ...