According to Andrej Karpathy on X, NVIDIA CEO Jensen Huang forecasted at GTC 2015 that deep learning would be the next big thing, citing Karpathy’s PhD work on end to end image captioning that linked a ConvNet for image recognition with an autoregressive RNN language model as a key example. As reported by Karpathy, this prescient stance—delivered to an audience then dominated by gamers and HPC professionals—helped catalyze NVIDIA’s early platform investment in GPU accelerated deep learning, which later underpinned the company’s dominance across training and inference workloads. According to public GTC archives referenced by Karpathy’s post, the strategic alignment from 2015 set the stage for today’s foundation model era, enabling opportunities in multimodal systems, enterprise AI adoption, and accelerated computing stacks spanning CUDA, cuDNN, and TensorRT.