Google has designed its own custom chip called the Tensor Processing Unit, or TPU. It uses those chips for more than 90% of the company's work on artificial intelligence training.

Google says all of this means the TPU v5p can train a large language model like GPT3-175B 2.8 times faster than the TPU v4 -- and do so more cost-effectively, too (though the TPU v5e, while slower ...

Google on Tuesday announced that its Cloud TPU v2 Pods and Cloud TPU v3 Pods are now publicly available in beta, enabling machine learning researchers and engineers to iterate faster and train ...

Google CEO Sundar Pichai outlined TPU 3.0, short for the third version of the Tensor Processing Unit. TPUs are Google's custom application specific processor to accelerate machine learning and ...

During the I/O 2018 Keynote, Google announced the release of its new TPU 3.0 chip. Following a string of demonstrations of the power of machine learning, including Smart Compose for Gmail and ...

Google has kicked off Google I/O 2021, at least in part, with a new advancement for its Tensor Processing Unit -- dubbed TPU v4. As might be expected, the ...

Google is now using AI to design the TPU chips it uses for AI research. In a research paper, the company’s engineers said its algorithms could do work that took humans months in a matter of hours.

Google’s announcement last week that they developed a custom chip for Deep Learning has created a lot of press and unanswered questions. At the Google I/O developers conference, the company ...

Google has recently released extensive architectural details and performance data that show the fruits of its labor. Understandably, it compared the TPU with the generation of NVIDIA and Intel ...

Google’s Tensor Processing Units (TPUs), the company’s custom chips for running machine learning workloads written for its TensorFlow framework, are now available to developers. The promise of ...

Google wants to own the AI stack, and has unveiled new Edge TPU chips designed to carry out inference on-device. These chips are destined for enterprise settings, like automating quality control ...