Bristol-headquartered Graphcore, a startup developing chips and systems to accelerate AI workloads, appears to be taking on category-leader Nvidia with significant improvements in performance and ...

There is a lot riding on the use of artificial intelligence technology to help us take giant leaps ahead in solving complex challenges -- whether it's medical breakthroughs, building better ...

Once seen as a viable competitor to Nvidia, Graphcore’s business suffered in 2022 from deteriorating macroeconomic conditions that slowed down sales of systems outfitted with its IPUs, and now it’s ...

As large, powerful AI models like OpenAI's text-generating GPT-3 come into wider use, the hardware traditionally used to train these models -- mostly GPUs -- will have to be replaced with more ...

Companies also announce free IPU Test Drive with Graphcore AI hardware and Spell software. Building, training, optimizing, and deploying AI models at scale can be excruciatingly difficult. Especially ...

MLPerf, the benchmark suite of tests for how long it takes to train a computer to perform machine learning tasks, has a new contender with the release Wednesday of results showing Graphcore, the ...

The U.K. has a strong history when it comes to processors, but the global chip market has seen some ups and downs of late. Today comes some big news that underscores how investors are doubling down on ...

"The misconception here is that this is as much, if not more, a software problem to solve than it is a hardware problem," said Nigel Toon, chief executive officer of AI computer startup Graphcore.

For the last few years, Graphcore has primarily been focused on slinging its IPU chips for training and inference systems of varying sizes, but that is changing now as the six-year-old British chip ...