"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.

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, ...

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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, ...

Graphcore’s IPU (Intelligence Processing Unit) accelerators and Poplar software together make the fastest and most flexible platform for current and future machine intelligence applications, lowering ...

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 ...

AI chip Startup Graphcore IPU systems are designed to lower the cost of accelerating AI applications A in cloud and enterprise datacenters to increase the performance of both training and inference by ...

Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This ...

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 ...

Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept maps to a new graph processor and graph ...