In mid-2023, a host of big name networking vendors including Cisco, Arista, HPE and Intel got together to form the Ultra Ethernet Consortium (UEC). The goal is to make Ethernet better for the needs of ...

When utilizing PyTorch with a specific CUDA device (in this case, 'cuda:8'), calling torch.cuda.empty_cache() unexpectedly results in additional memory allocation on 'cuda:0', approximately 255MB.

Whenever I'm building, cleaning, or running any operation with Gradle, I get this kind of error flooding my logs. I recently tried to delete my grade cache via sudo ...