
PyTorch MoE acceleration boosts training throughput
NVIDIA introduced PyTorch MoE acceleration through NeMo Automodel, promising faster large-scale training and lower costs for developers. According to NVIDIA, early results sustain 190–280 TFLOPs/sec per GPU and process up to 13,000 tokens per second, depending on model size and cluster scale. The update targets teams scaling Mixture-of-Experts models without custom infrastructure while retaining native […]







