Gpu
2 milestones in AI history
InfrastructureDeep Learning Dawn
GPU Computing for Neural Networks
Researchers including Andrew Ng demonstrated that GPUs (graphics processing units) could train neural networks 10-70x faster than CPUs. NVIDIA's CUDA platform made GPU programming accessible. This hardware breakthrough removed the computational bottleneck that had held back deep learning.
Andrew NgStanford UniversityNVIDIA
ResearchDeep Learning Breakthrough
AlexNet: The ImageNet Moment
AlexNet, a deep convolutional neural network, won the ImageNet competition by a staggering margin — reducing the error rate from 26% to 16%. Trained on two NVIDIA GTX 580 GPUs, it was dramatically deeper and more powerful than previous entries. The AI community was stunned.
Alex KrizhevskyIlya SutskeverUniversity of Toronto