Google first announced that Sycamore had passed the RCS benchmark in 2019, when scientists used the chip to resolve a problem that would have taken a classical supercomputer 10,000 years to calculate.

According to Google researchers, the TPU v4 supercomputer, is "1.2x-1.7x faster and uses 1.3x-1.9x less powerful than the Nvidia A100." While Google creates, and conducts research on, AI systems ...

In a recent paper, Google revealed that their supercomputer is 1.7 times faster and 1.9 times more energy-efficient than a system based on Nvidia‘s A100 chip for a system of the same size.

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 unveils Ironwood, its seventh-generation TPU chip delivering 42.5 exaflops of AI compute power — 24x more than the world's fastest supercomputer — ushering in the "age of inference." ...

Google's quantum computing division unveiled a new chip, dubbed Willow, that the tech giant says makes it infinitely faster and better than existing supercomputers. The chip addresses two major ...

At the recent Google Cloud Next 2025 event, the tech giant claimed that its new Ironwood TPU v7p pod is 24 times faster than El Capitan, the exascale-class supercomputer at Lawrence Livermore ...

Experiments on Google's 67-qubit Sycamore processor showed operations entering a new "weak noise phase" in which calculations were complex enough to outperform supercomputers, based on benchmark ...

Google says it has made a new quantum computing chip that can be at least a billion times faster than the fastest traditional supercomputers.. The new generation of quantum computer development ...

Google first announced that Sycamore had passed the RCS benchmark in 2019, when scientists used the chip to resolve a problem that would have taken a classical supercomputer 10,000 years to calculate.