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Photo by — @jeremyperkins

Silicon Renaissance with AI

Hardware is changing to enable more applications of artificial intelligence

I am writing this article today based on an article by Rob Toews writing as a contributor to Forbes.

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Bay Area startup Cerebras Systems recently unveiled the largest computer chip in history, purpose-built for AI — by Jessica Chou, The New York Times

“Parallelisation — the ability for a processor to carry out many calculations at the same time, rather than one by one — becomes critical.”

What he says is that CPUs are ill equipped for this task because: “CPUs process computations sequentially, not in parallel […] This creates a choke point in data movement known as the “von Neumann bottleneck”. The upshot: it is prohibitively inefficient to train a neural network on a CPU.”

  • Habana Labs (bought for $2B in December 2019).
  • Groq.
  • Lightmatter (raised $33M from GV, Spark Capital and Matrix Partners).
  • Horizon Robotics.
  • SambaNova Systems.
  • Graphcore.
  • Wave Computing.
  • Blaize.
  • Mythic.
  • Kneron.

“…just last week, Argonne National Laboratory announced it is using Cerebras’ chip to help in the fight against coronavirus.”

Groq is building a chip with a batch size of one, meaning that it processes data samples one at a time.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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