Posted on Friday, June 01 2018 @ 10:48 CEST by Thomas De Maesschalck
Speaking at the GTC (GPU Technology Conference) Taiwan 2018 on May 30, NVIDIA CEO Jen-Hsun Huang talked about the "Cambrian explosion" of GPU-driven deep learning technologies. He remarked the computing power of GPUs has increased 20-fold in less than a decade, and noted this is just the beginning as AI researchers still require a lot more power. Huang indicated the demand for GPU computing power will see a 100-fold increase:
He detailed a "Cambrian explosion" of technologies driven by GPU-powered deep learning. In less than a decade, the computing power of GPUs has grown 20-fold, representing a 1.7-fold growth per year, far outstripping Moore's law, Huang said.
But demand for that power is "growing, not slowing," thanks to AI, Huang said. "Before this time, software was written by humans and software engineers can only write so much software, but machines don't get tired," he said, adding that every single company in the world that develops software will need an AI supercomputer.
Via: DigiTimes
