[clomond]

Had to look into MLPerf as I don’t follow super compute.

But I don’t see them not doing that test as an issue as they made it quite clear that their entire system is tailor made, like an ASIC, to focus on neural nets and specific, relevant compute pipelines to what they care about. I would imagine dropping a generic, broad based ML benchmarking tool will not only perform suboptimally but also not be representative of what they’re trying to do. It’s not meant to be a general purpose ML super computer, it’s supposed to be a super computer to solve a narrowish niche of problems.