… TensorRT for RTX is for GPUs and this overview focuses on NNE GPU runtimes. NNE can run inference on the GPU, either: Synchronously from the CPU, requiring memory synchronization. …
… The typical flow is: import, patch, optional validate, train as usual. lightning client.py import pytorch lightning as pl from pytorch lightning import Trainer import nvflare.client.lightning as flare Lightning Client API from model import LitNet from data import CIFAR10DataModule def main : model … …
… MSA generation We generated MSAs using colabfold search with the MMseqs2-GPU backend. While MMSeqs2-GPU scales across GPUs on a node natively, we chose to spawn one MMseqs2-GPU server process per GPU on a node for easier process management. …
… He leads the management and offering of the HPC application containers on the NVIDIA GPU Cloud registry. …