This seems to be a standard build and I’m unable to reproduce the issue:
>>> import torch
>>> torch.version.cuda
'10.2'
>>> torch.cuda.get_arch_list()
['sm_75']
>>> torch.cuda.get_device_name()
'GeForce RTX 2080 Ti'
>>> x = torch.randn(1024, 1024).cuda()
>>> y = torch.matmul(x, x)
>>> print(y.shape)
torch.Size([1024, 1024])
>>> print(y.device)
cuda:0
>>> exit()

Are you able to run any other workload on this GPU? E.g. the CUDA samples or PyTorch via a docker container or the pip wheels / conda binaries?