back to article Cerebras' wafer-size AI chips play nice with PyTorch, TensorFlow

Good news for those who like their AI chips big: Cerebras Systems has expanded support for the popular open-source PyTorch and TensorFlow machine-learning frameworks on the Wafer-Scale Engine 2 processors that power its CS-2 system. The chip designer says the expanded support, announced today, is an important milestone because …

  1. Anonymous Coward
    Anonymous Coward

    They may be relatively new to the market, but I think this is a serious contender in their space, much like Teradata was at the peak of relational technology.

  2. katrinab Silver badge

    What are production yields going to be like?

    In normal chip manufacturing, how often do you get a wafer where every single chip on the wafer is functional?

    1. Anonymous Coward
  3. Martin Gregorie


    Wafer repair is presumably not an option, unlike a conventional chassis full of replaceable system boards. As a result, if anything significant fails on a single wafer system, it seems very likely that you'd have to replace the entire wafer unless, of course, there are redundant subsystems designed into it. However, since I've seen nothing about redundancy being built into these systems-on-wafers, it seems likely that it doesn't exist. Otherwise it would be used as a selling point.

    What did I miss?

    1. BOFH in Training Silver badge

      Re: Repairability?

      Redundancy is built in.

      According to this :

      they have a 1 to 1.5% redundancy in cores.

  4. Kevin McMurtrie Silver badge

    400000 cores and Python

    World's most compact space heater. I've seen people try to use 3 cores in Python and it's all spin locks and dead locks. Even the acceleration libraries are bad because efficient mathematics and efficient concurrency together are a lot to master.

    1. Tom 7 Silver badge

      Re: 400000 cores and Python

      Not everyone gives up solving problems as easily as you seem to.

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