DEEP LEARNING IN DATA CENTERS, CLOUD AND ON DEVICES
Deep learning relies on GPU acceleration, both for training and inference. NVIDIA delivers GPU acceleration everywhere you need it—to data centers, desktops, laptops, and the world’s fastest supercomputers. If your data is in the cloud, NVIDIA GPU deep learning is available on services from Amazon, Google, IBM, Microsoft, and many others
ACCELERATING AI WITH GPUs
Although machine learning has been around for decades, two relatively recent trends have sparked widespread use of machine learning: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPU computing. GPUs are used to train these deep neural networks using far larger training sets, in an order of magnitude less time, using far less datacenter infrastructure. GPUs are also being used to run these trained machine learning models to do classification and prediction in the cloud, supporting far more data volume and throughput with less power and infrastructure.