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 LLC’s cloud unit today announced that Trillium, the latest iteration of its tensor processing unit artificial intelligence chip, is now generally available. The launch of the TPU comes seven ...

Google says its new Ironwood chip, the seventh generation of the company’s Tensor Processing Unit, is more than four times faster than its prior version. The disclosure signals a fresh push to speed ...

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 ...

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 Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing ...

Google is ready to open up its Cloud TPU platform to developers and researchers looking to test machine learning workloads -- and it's got a new, more powerful Cloud TPU design than the chips we've ...

Following a report earlier this week, Anthropic (ANTHRO) confirmed on Thursday that it has widened the scope of its deal with Google (NASDAQ:GOOG) (NASDAQ:GOOGL). The newly expanded deal will see ...

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 ...

A TPU (Tensor Processing Unit) is a type of specialized hardware accelerator designed by Google specifically for machine learning and artificial intelligence (AI) workloads. TPUs are optimized for ...

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 ...