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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 ...

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 ...

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 ...

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.

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 ...

While securing the high-end particle physics market segment is not likely to push any of the AI/ML ASICS into competition with GPUs anytime soon, the chipmakers that can prove their value on some of ...

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 ...

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 ...

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 ...