• Hmm I wonder if this will go anywhere. Isn’t it similar to what a graphics card does? Calculating specific instructions in an efficient way? But where does it stop being a CPU? When it only supports specific languages?

    Idk I think RISC might be the future more than this. 99% less power consumption is only going to make the neural nets a bit better because they need an exponential increase in processing power for linear gains.

    •  Lojcs   ( @Lojcs@lemm.ee ) 
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      1 month ago

      This isn’t an ai co processor. It sounds more like an fpga that connects a bunch of standalone alus, and also has compiler support for common languages:

      The compiler generates a representation of the data flow, places the instructions with an efficient network on chip. A RISC-V core configures the fabric and then shuts down to leave the tiles running, although the fabric can reconfigure itself as a general purpose processor that can run C, C++ or Rust as well as edge AI frameworks and potentially transformer frameworks.

      The “the fabric can reconfigure itself” part is interesting too, maybe that’s why they’re not calling it an fpga