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If you’ve a penchant for liking superhero-themed anything and playing games in 3D, the Batman: Arkham series has been a match made in heaven. Simply put, when it comes to 3D Vision titles it just doesn’t get much better – and it’s hard to see how it could.We’re happy to report that Batman: Arkham Origins, which releases today, continues this tradition. Out of the box, Origins is rated 3D Vision Ready, so you know it’s going to look spectacular. We’ve played it quite a bit...
Contest closed - stay tuned to for details about upcoming contests. is excited to unveil the latest in a series of photo contests aimed at giving you a platform to show off your images and potentially win some cool prizes. Like our most recent Spring Contest, this one will span three months - October, November, and December - and is themed: Your image must be something that captures or shows the essence of "nature" and what...
With sincere apologies for the delay, NVIDIA is pleased to announce the results of the Spring Photo Contest. We received more than 80 submissions from 3DVisionLive members and, for the first time, invited the membership to select the winner. The only criteria for the contest was the photos had to represent the meaning of Spring in some fashion, and be an original image created by the member that submitted it. All submitted photos were put in a gallery and ample time was...
For the third year in a row, NVIDIA worked with the National Stereoscopic Association to sponsor a 3D digital image competition called the Digital Image Showcase, which is shown at the NSA convention - held this past June in Michigan. This year, the 3D Digital Image Showcase competition consisted of 294 images, submitted by 50 different makers. Entrants spanned the range from casual snapshooters to both commercial and fine art photographers. The competition was judged by...
  VOTING IS NOW CLOSED - Thanks to all that participated. Results coming soon!   The submission period for the Spring Photo Contest is now closed, and we are happy to report we’ve received 80 images from our members for consideration. And, for the first time, we’re opening the judging process to our community as well to help us determine the winners. So, between now and the end of June (11:59 PST, June 30st), please view all of the images in the gallery and place...

Recent Blog Entries

Like so many gaming fans, Nicholas Freybler and Mithun Maragiri knew NVIDIA from the GPUs that powered the graphics on their favorite computer games. Elena Feldman loved the computer graphics our tech brought to life in animated films. Pin-Wen Wang was born in Taiwan, where NVIDIA is among the best-known companies, partly because one of our founders hails from there.

While the perspectives of these new college hires are typically diverse, they all shared a common outlook: their sights were set on joining NVIDIA.

Another commonality among the recent grads: their energy, ideas and enthusiasm will determine the company’s future.

“The next generation is the future of the company,” says Jennifer Armor, director of university recruiting and inclusion for NVIDIA. “In the coming years, they’re going to turn the recent trends of AI, VR and self-driving cars into part of the fabric of daily life.”

Elena Feldman is a new college hire from Carnegie Mellon working on CUDA. Elena Feldman: CUDA Ambitions

Elena Feldman, a New York native, initially wanted to join NVIDIA because of her passion for 3D animation. Then she found out there was a lot more to the company than graphics.

“The No. 1 reason I’m here is I like how the company took a GPU originally used to process graphics and is now using it for things like artificial intelligence, self-driving cars and robotics,” she said.

Feldman, who recently completed her master’s degree at Carnegie Mellon University, interned here with two different teams before starting as a regular employee in August. She’s now a systems software engineer on our CUDA team.

“It’s great. I’ve wanted to be on this team since my sophomore year,” she said.

Mithun Maragiri, a USC grad, works in the SHIELD TV group. Mithun Maragiri: Smart People

Mithun Maragiri grew up in Bangalore, India, wowed by the GPU-powered computer games he played. So when he began job-hunting, he pursued the company he considered the market leader.

Maragiri, who has a master’s degree in computer science from University of Southern California, did two internships at NVIDIA, first working on Android frameworks and later on Android platform security.

“People are really, really smart here,” he said. “When they solve a problem, they give you the reason why their solution worked, which is critical to me.”

Maragiri is now working on systems as part of the SHIELD TV team, and has a long-term interest in deep learning.

“I’m learning things here I think every new graduate should know,” he said.

Nick Freybler is a new college hire from Stanford University. Nicholas Freybler: Choosing the Best

Nicholas Freybler was born to be an engineer. Growing up in Grand Rapids, Mich., he played NVIDIA-powered computer games and built his own computers. When it came to choosing a graphics card to install, he said, the choice was easy: He knew NVIDIA cards would be best.

When he began his job search, he knew wanted to work on GPUs and considered applying to several companies. In the end, he said, the choice was clear: NVIDIA.

“I thought I could learn more by going to the superior company,” said Freybler, who recently completed his B.S. in electrical engineering from Stanford University.

He joined the company in August as a member of the GPU full chip verification team. He said he can see what makes the company successful.

“So many people get so much work done here, and they’re really engaged in what they’re doing,” he said.

Pin-Wen Wang, a Harvard grad, verifies GPU designs. Pin-Wen Wang: Problem Solver

Pin-Wen Wang was a junior in electrical engineering at Harvard University, searching for an internship when she “cold-emailed” NVIDIA.

Although she grew up in Houston, Wang was familiar with NVIDIA because she was born in Taiwan, like NVIDIA CEO Jen-Hsun Huang. NVIDIA is well-known in Taiwan, and her family was thrilled when she secured an internship here simulating power usage in GPUs.

She started as a regular employee verifying GPU designs more two years ago.

“I love it,” she said. “It’s problem-solving. Even if you don’t know how to solve the problem at first, there’s enough puzzle pieces you can move around to find a solution.”

Help for New College Hires

NVIDIA has been expanding its programs to support our new college hires. There’s financial help of up to $30,000 to repay student loans, as.well as assistance refinancing them.

An early career network, launched last month, offers networking and social events, professional development and more for grads hired within the last three years. And we have some of the best benefits in the industry, including unlimited time off, a generous employee stock purchase plan, no- and low-cost medical coverage, and commuter subsidies that save on the cost of getting to work.

Wang, the Harvard grad who’s spent two years here, has advice for the new graduates who’ve joined in recent months.

“Don’t be afraid to speak up. If you’re doing work you like, say so. If there’s something you want to work on, mention that,” she said. “NVIDIA is as invested in you just as much as you’re invested in it.”


Find out more about becoming an intern or getting hired at NVIDIA. Join us at a recruiting event at your school or apply for a position.

The post Building Our Future, One New Grad at a Time appeared first on The Official NVIDIA Blog.

Tesla Motors has announced that all Tesla vehicles — Model S, Model X, and the upcoming Model 3 — will now be equipped with an on-board “supercomputer” that can provide full self-driving capability.
The computer delivers more than 40 times the processing power of the previous system. It runs a Tesla-developed neural net for vision, sonar, and radar processing.

This in-vehicle supercomputer is powered by the NVIDIA DRIVE PX 2 AI computing platform.
NVIDIA DRIVE PX 2 is an end-to-end AI computing system that uses groundbreaking approaches in deep learning to perceive and understand the car’s surroundings.

Our deep learning platform is open and lets carmakers first train their own deep neural networks on GPU supercomputers. Once loaded into the car, it processes the networks at high speed to provide the real-time, accurate response required for autonomous driving.
DRIVE PX 2 is in full production.

The post Tesla Motors’ Self-Driving Car “Supercomputer” Powered by NVIDIA DRIVE PX 2 Technology   appeared first on The Official NVIDIA Blog.