Every year, NVIDIA holds a series of GPU Technology Conferences, commonly referred to as GTC and gets kicked off with a big event in San Jose and is followed up by regional eventsin places like Beijing, Munich, Tel Aviv, Taipei, Washington DC, and Tokyo.If you or your company is involved or interested in AI and ML, GTC is the place to be whether you are a developer, a data scientist or a business person. This year, NVIDIA says GTC features more than 500 hours of scientists, researchers, and developers from leading institutions sharing their work -- not just NVIDIA presenters. It also includes leading AI thinkers from Google, Amazon.com, Facebook, Baidu, Tencent Holdings, Alibaba, Microsoft, IBM Watson and many more companies both large enterprises and the most innovative start-ups. When GTC kicks off this year on March 26, NVIDIA says it should grow to over 8,000 attendees, up from 2,400 in 2012. A lot of this growth is coming from the increased demand for GPUs in the data center and high-performance computing. However, the most significant and recent growth has come from machine learning and artificial intelligence training, and this is GTC 2018’s priority topic. GTC all about GPUs and CUDA At the core of all of the GTC activities are NVIDIA GPUs and the CUDA SDK that helps researchers, enterprises, and others to maximize the processing potential of their GPUs. Without CUDA, it is all just hardware that looks green and pretty. GTC is fundamentally about enabling the developers that utilize the NVIDIA CUDA SDK to connect with one another and others in the ecosystem to advance their learning and skills. In fact, NVIDIA has reported that they now have over 750,000 developers using CUDA which is up more than 200,000 since GTC 2017 in May of 2017. That much growth in developers has translated to over 3 million downloads of the CUDA SDK which is up from 1 million in 2016, a pretty good indicator of how much growth they have seen in just 2017 alone. Developer-first conference, business second NVIDIA’s GTC targets data scientists, developers, and researchers in various fields that can benefit from GPU accelerated computing. This is a developer conference with the ability to specialize in particular interest areas, including AI and machine learning. The conference itself allows attendees to connect with one each other, learn and train with workshops, as well as discover and innovate. GPU research boards are one expression of the work to drive GPUs beyond their current limits. GTC content includes some critical areas for accelerated computing like self-driving cars, smart cities, autonomous machines, healthcare, advanced data and analytics, high-performance computing and virtual reality. There are plenty of areas that also cover industries like automotive, finance, healthcare, manufacturing entertainment and telecommunications. There’s even an exclusive startup track called Inception dedicated to AI startups to help them get discovered and get better. At GTC, members of the NVIDIA Inception Program for AI startups, gather in-person to network, learn from deep learning experts and showcase emerging technology. All these elements make it a very high-quality developer conference, and it seems like NVIDIA wants to keep it this way by sticking to the same recipe as years past. Even so, the focus will strengthen even more towards AI, with 75% of the talks incorporating AI, compared to only 60% last year. There will also be talks about VR, real-time graphics, and gaming, with AI taking a more prominent role in gaming and graphics than ever before.
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