Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip ...

Company’s open-source software has matured significantly, and now the development community is taking over some of load. Graphcore has made significant advancements since we published the original ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As large, powerful AI models like OpenAI’s ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Graphcore, a well-funded and ambitious British chip designer that focuses solely on AI applications, has ...

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 ...

Most computers in the world tend to do one thing and then move on to the next thing, a series of sequential tasks. For decades, computer scientists have struggled to get machines to do multiple things ...

With performance comparable to the Nvidia V100 GPU, a common accelerator in HPC but better energy consumption numbers and memory bandwidth potential, Graphcore can turn heads in supercomputing. That ...

For most organisations, the process of cognification is the single biggest challenge of the next five years. Everything will get smarter – in theory. The limitations of existing computer chips, ...

U.K. artificial intelligence chip startup Graphcore Ltd. is reportedly exploring a sale as it has struggled to compete with the likes of Nvidia Corp. in the booming AI chip market. The Telegraph ...

While some of the largest chip manufacturers are looking to shift their focus onto the GPU for their biggest machine learnings, there’s a blooming ecosystem of new chip startups looking to rethink the ...

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 ...

As artificial intelligence (AI) continues to disrupt industries worldwide, the semiconductor sector is capitalizing on disruptive technology by designing chips catering to AI software. Nvidia Corp.