> direct CUDA implementation, which will be significantly faster and probably come close to PyTorch.
It almost hurts, to read that PyTorch is faster.
But then again, with these GPU-RAM-prices, let's see how it speeds up the CPU.
We really need SO-DIMM slots on the RTX series (or AMD/Intel equivalent) so that we can expand the RAM as we need it to. Is there a technical problem to it?
It almost hurts, to read that PyTorch is faster.
But then again, with these GPU-RAM-prices, let's see how it speeds up the CPU.
We really need SO-DIMM slots on the RTX series (or AMD/Intel equivalent) so that we can expand the RAM as we need it to. Is there a technical problem to it?