In a significant development for gaming hardware enthusiasts, NVIDIA is reportedly set to unveil the RTX 5090 D v2 graphics ...

Besides, we extend the FP16 Tensor-Cores-based QR factorization to accommodate FP32 and FP64 on FP16 and INT8 Tensor Cores, respectively. Additionally, to address the issue of orthogonality loss in ...

What is the issue? Hi, when running gemma3:27b-it-fp16 on a dual 5090 setup, one layer always gets offloaded to CPU despite VRAM still available. The model has unusually an uneven number of layers: 63 ...

I found the configuration could successfully train OSEDiff on one 4090 GPU, which will cost 23.67GB during training and will cost 100h to train for 100k iterations. Hope it is helpful to those don' ...