Jen-Hsun Huang showed a ray tracing demo where a system with Deep Learning capabilities was able to render a scene faster as the AI was able to anticipate what needed to be done based off what was already done and the surroundings in the image. The ‘big bang’ in modern AI has allowed for computers are now able to program computers, so we are entering an era of automation unlike anything the world has ever seen. NVIDIA GPUs have been at the center of AI for around six years now and it keeps on going with unsupervised learning now a reality. Artificial Intelligence looks like it has emerged as being the most power source for new technology since AI took off in 2012. Jen-Hsun Huang then jumped into talking about machine learning and how NVIDIA is heavily involved in deep learning that is set to change many things in the world. Pretty impressive demo that shows photo realistic collaboration can take place from anywhere in the world. The demo for the show had Christian von Koenigsegg from Koenigsegg Automotive AB, the Swedish super car manufacturer and Jen-Hsun Huang taking a look at a new Koenigsegg car model together. The first demo of GDC 2017 was project holodeck where people from all around the world can come together and discuss whatever they like. In fact, the CUDA SDK was downloaded over 1 million times in 2016 alone. GPU computing has grown by leaps and bounds over the past years as there are now over 511,000 GPU developers and that is an 11x increase over the past five years and CUDA is leading the way. NVIDIA GPU accelerated performance is coming along very well and has been referred to as Moore’s law squared. How can those comments not get the gamer base excited!
Nvidia keynote series#
We are excited to hear him speak as yesterday, during companys Q1 earnings call he mentioned that his company was building inventory for a new product pending announcement at GTC and he also said he didn’t see AMD’s upcoming Radeon RX Vega series of cards as a threat. NVIDIA president and CEO Jen-Hsun Huang moments ago walked onto the stage GTC 2017 to talk about the future of GPGPU computing.
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