Omdia predicts rapid growth in demand for Google’s Tensor Processing Unit (TPU) AI chips, a trend that may be strong enough to start chipping away at NVIDIA’s market dominance in GPUs. 3Q results from ...

Allegedly, OpenAI will finalize the design of their own AI chip and will start manufacturing starting 2026. Here's the whole ...

Google's LCA study reveals its TPU chips now offer three times greater carbon efficiency for AI workloads due to hardware ...

Nvidia dominates the AI hardware market, but Google’s advanced TPU technology and collaboration ... performance and area (“PPA”) for chip design. AMD isn’t a preferred choice as their ...

The majority of the spending will target technical infrastructure, including servers and data centers, CFO Anat Ashkenazi ...

The developer of the alternative smartphone operating system /e/OS sells its first tablet: it has a Google chip, but no Google tracking.

Companies that were early adopters of AI have experienced significant gains, particularly those specializing in graphics processing units (GPUs), AI chips, and generative AI technologies.

OpenAI is finalizing the design for its first custom AI training chip and is currently in the tape out phase, the final ...

Google credits the Pixel 9’s Tensor G4 chip and its 3rd-generation TPU as making Add Me practical for on-device deployment. This is all really neat to learn about, but those final thoughts do ...

For instance, Google Cloud ... specialized chips designed to accelerate machine learning tasks called Tensor Processing Units (TPUs). As per analysts, Alphabet’s TPU and DeepMind AI units ...

Pichai touted gains in data center efficiency through Google’s deployment of in-house TPU chips and AI Hypercomputer architecture Tuesday. “We develop every component of our technology stack ...