Fabric for Deep Learning

According to Gartner, artificial intelligence will be the most disruptive class of technology over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep learning. The rise of deep learning has been fueled by three recent trends: the explosion in the amount of training data; the use of accelerators such as graphics processing units (GPUs); and the advancement in training algorithms and neural network architectures. To realize the full potential of this rising trend, we want the technology to be easily accessible to the people it matters most to: data scientists and AI developers. Training deep neural networks, known as deep learning, is currently highly complex and computationally intensive. It requires a highly tuned system with the right combination of software, drivers, compute, memory, network, and storage resources.