{"id":106,"date":"2020-08-20T17:19:59","date_gmt":"2020-08-20T17:19:59","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/08\/20\/2-million-registered-developers-countless-breakthroughs\/"},"modified":"2020-08-20T17:19:59","modified_gmt":"2020-08-20T17:19:59","slug":"2-million-registered-developers-countless-breakthroughs","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/08\/20\/2-million-registered-developers-countless-breakthroughs\/","title":{"rendered":"2 Million Registered Developers, Countless Breakthroughs"},"content":{"rendered":"
\n

Everyone has problems.<\/p>\n

Whether they\u2019re tackling challenges at the cutting edge of physics, trying to tame a worldwide pandemic, or sorting their child\u2019s Lego collection, innovators join NVIDIA\u2019s developer program<\/a> to help them solve their most challenging problems.<\/p>\n

With the number of registered NVIDIA developers having just hit 2 million, NVIDIA developers are pursuing more breakthroughs than ever.<\/p>\n

Their ranks continue to grow by larger numbers every year. It took 13 years to reach 1 million registered developers, and less than two more to reach 2 million.<\/p>\n

Most recently, teams at the U.S. National Institutes of Health, Scripps Research Institute and Oak Ridge National Laboratory have been among the NVIDIA developers at the forefront of efforts to combat COVID-19<\/a>.<\/p>\n

\"\"<\/a><\/p>\n

Every Country, Every Field<\/h2>\n

No surprise. Whether they\u2019re software programmers, data scientists or devops engineers, developers are problem solvers.<\/p>\n

They write, debug and optimize code, often taking a set of software building blocks \u2014 frameworks, application programming interfaces and other tools \u2014 and putting them to work to do something new.<\/p>\n

These developers include business and academic leaders from every region in the world.<\/p>\n

In China, Alibaba and Baidu are among the most active GPU developers. In North America, those names include Microsoft, Amazon and Google. In Japan, it\u2019s Sony, Hitachi and Panasonic. In Europe, they include Bosch, Daimler and Siemens.<\/p>\n

All the top technical universities are represented, including CalTech, MIT, Oxford, Cambridge, Stanford, Tsinghua University, the University of Tokyo, and IIT campuses throughout India.\u00a0<\/b><\/p>\n

Look beyond the big names \u2014 there are too many to drop here \u2014 and you\u2019ll find tens of thousands of entrepreneurs, hobbyists and enthusiasts.<\/p>\n

Developers are signing up for our developer program to put NVIDIA accelerated computing tools to work across fields such as scientific and high performance computing, graphics and professional visualization, robotics, AI and data science, networking, and autonomous vehicles.<\/p>\n

Developers are trained and equipped for success through our GTC conferences<\/a>, online and in-person tutorials, our Deep Learning Institute<\/a> training, and technical blogs<\/a>. We provide them with software development kits such as CUDA, cuDNN, TensorRT and OptiX.<\/p>\n

Registered developers account for 100,000 downloads a month, thousands participate each month in DLI training sessions, and thousands more engage in our online forums or attend conferences and webinars.<\/p>\n

NVIDIA\u2019s developer program, however, is just a piece of a much bigger developer story. There are now more than a billion CUDA GPUs in the world \u2014 each capable of running CUDA-accelerated software \u2014 giving developers, hackers and makers a vast installed base to work with.<\/p>\n

As a result, the number of downloads of CUDA, which is free, without registration, is far higher than that of registered developers. On average, 39,000 developers sign up for memberships each month and 438,000 download CUDA each month.<\/p>\n

That\u2019s an awful lot of problem solvers.<\/p>\n

Breakthroughs in Science and Research<\/h2>\n

The ranks of those who depend on such problem solvers include the team who won the 2017 Nobel Prize in Chemistry<\/a> \u2014 Jacques Dubochet, Joachim Frank and Richard Henderson \u2014 for their contribution to cryogenic electron microscopy.<\/p>\n

They also include the team that won the 2017 Nobel Prize in Physics<\/a> \u2014 Rainer Weiss, Barry Barish and Kip Thorne \u2014 for their work detecting gravitational waves.<\/p>\n

More scientific breakthroughs are coming, as developers attack new HPC problems and, increasingly, deep learning.<\/p>\n

William Tang<\/a>, principal research physicist at the Princeton Plasma Physics Laboratory \u2014 one of the world\u2019s foremost experts on fusion energy \u2014 leads a team using deep learning and HPC to advance the quest for cheap, clean energy.<\/p>\n

Michael Kirk and Raphael Attie<\/a>, scientists at NASA\u2019s Goddard Space Flight Center \u2014 are among the many active GPU developers at NASA \u2014 relying on Quadro RTX data science workstations to analyze the vast quantities of data streaming in from satellites monitoring the sun.<\/p>\n

And at UC Berkeley, astrophysics Ph.D. student Gerry Zhang<\/a> uses GPU-accelerated deep learning to analyze signals from space for signs of intelligent extraterrestrial civilizations.<\/p>\n

Top Companies<\/h2>\n

Outside of research and academia, developers at the world\u2019s top companies are tackling problems faced by every one of the world\u2019s industries.<\/p>\n

At Intuit, Chief Data Officer Ashok Srivastava<\/a> leads a team using GPU-accelerated machine learning to help consumers with taxes and help small businesses through the financial effects of COVID-19.<\/p>\n

At health insurer Anthem, Chief Digital Officer Rajeev Ronanki<\/a> uses GPU-accelerated AI to help patients personalize and better understand their healthcare information.<\/p>\n

Arne Stoschek<\/a>, head of autonomous systems at Acubed, the Silicon Valley-based advanced products and partnerships outpost of Airbus Group, is developing self-piloted air taxis powered by GPU-accelerated AI.<\/p>\n

New Problems, New Businesses: Entrepreneurs Swell Developer Ranks<\/h2>\n

Other developers \u2014 many supported by the NVIDIA Inception program<\/a> \u2014 work at startups building businesses that solve new kinds of problems.<\/p>\n

Looking to invest in a genuine pair of vintage Air Jordans? Michael Hall, director of data at GOAT Group, uses GPU-accelerated AI to help the startup connect sneaker enthusiasts with Air Jordans, Yeezys and a variety of old-school kicks<\/a> that they can be confident are authentic.<\/p>\n

Don\u2019t know what to wear? Brad Klingenberg, chief algorithms officer at fashion ecommerce startup Stitch Fix, leads a team that uses GPU-accelerated AI to help us all dress better<\/a>.<\/p>\n

And Benjamin Schmidt, at Roadbotics, offers what might be the ultimate case study in how developers are solving concrete problems: his startup helps cities find and fix potholes<\/a>.<\/p>\n

Entrepreneurs are also supported by NVIDIA\u2019s Inception program, which includes more than 6,000 startups in industries ranging from agriculture to healthcare to logistics to manufacturing.<\/p>\n

Of course, just because something\u2019s a problem, doesn\u2019t mean you can\u2019t love solving it.<\/p>\n

Love beer? Eric Boucher, a home brewing enthusiast, is using AI<\/a> to invent new kinds of suds.<\/p>\n

Love a critter-free lawn? Robert Bond has trained a system that can detect cats<\/a> and gently shoo them from his grass by turning on his sprinklers to the amazement and delight of his grandchildren.<\/p>\n

Francisco \u201cPaco\u201d Garcia has even trained<\/a> an AI to help sort out his children\u2019s Lego pile.<\/p>\n

Most telling: stories from developers working at the cutting edge of the arts.<\/p>\n

Pierre Barreau has created an AI, named AIVA<\/a>, which uses mathematical models based on the work of great composers to create new music.<\/p>\n

And Raiders of the Lost Art \u2014 a collaboration between Anthony Bourached and George Cann, a pair of Ph.D. candidates at the University College, London \u2014 has used neural style transfer techniques to tease out hidden artwork in a Leonardo da Vinci painting.<\/p>\n

Wherever you go, follow the computing power and you\u2019ll find developers delivering breakthroughs.<\/p>\n

How big is the opportunity for problem solvers like these? However many problems there are in the world.<\/p>\n

Want more stories like these? No problem. Over the months to come, we\u2019ll be bringing as many to you as we can.\u00a0<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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