[g_airborne]

Very cool! Does anyone know how is software support for all these features? It seems that TF doesn’t support the TP32/16 types as of yet. Is this something only CUDA engineers can use right now?

It does seem a little fishy to me that NVIDIA often boasts with figures like 10x performance upgrade whilst in practice those are only possible if you use one of their non-default float types which are hardly supported in most deep learning libraries :(

[zetazzed]

Both PyTorch and Tensorflow teams have announced they'll support TF32. By design, it interoperates well with existing code, since calling code can just treat it as a regular FP32 value.