I expect this to be quickly replicated once published. Training data is public and training compute is not enormous and AlphaFold of 2018 did get replicated.
While substantial, the resources here are well within reach of many labs, research institutes, and organizations. For this result this big, I'd guess we'll have 2-6 additional implementations in the next 18 months. The problem has been 'open' for 40+ years, so that's lightening fast!
Ex: Summit has 27,648 V100 GPUs (and those V100s have Tensor units). If you're saying that only 200 GPUs are needed to replicate the experiment, that doesn't even use up 1% of Summit's available utilization.