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For the last few years we’ve worked with the National Stereoscopic Association to support the 3D Digital Showcase photo competition featured at the NSA’s annual conventions. The images from this past year’s showcase are now live for everyone to view. We really enjoy the diversity of images submitted by 3D artists and enthusiasts to this event, and this gallery is certainly no different. You’ll see everything from close ups of insects to people juggling fire. Simply put,...
In driver 334.89 NVIDIA introduced a new proprietary rendering mode for 3D Vision that enables us to improve the 3D experience for many key DirectX 10 and 11 games. This mode is now called “3D Compatibility Mode”. We have continued to iterate on this feature in driver 344.11, increasing game support and adding some new interface elements. You can get the new driver at or via the update option in Geforce Experience. With the release of 344.11, new 3D...
We’re fortunate enough to have another fine 3D video from New Media Film Festival to share with you here on 3DVisionLive—a pop music video from Italy called “The Way,” which you can view here. Even better, New Media Film Festival has provided an interview with one of the co-directors of the video, Edoardo Ballanti, which provides insights on how the video was created and the vision behind it. Enjoy! (Alice Corsi also co-directed the video.) What was the Inspiration behind “...
The Fall Photo Contest received nearly 100 images – thanks to all that entered! The contest called for your best “nature” shots with the only other requirement being that they had to be true stereo images. Submissions ranged from shots of spiders in gardens to artistic approaches to tasteful nudes. As before, members were invited to vote for the winner by tagging images in the contest gallery as favorites. Without further ado, the winner is: Autumn Goodbye to Summer This...
In driver 334.89 NVIDIA introduced a new proprietary rendering mode for 3D Vision that enables us to improve the 3D experience for many key DirectX 10 and 11 games. This mode is now called “3D Compatibility Mode”. We have continued to iterate on this feature in beta driver 337, increasing game support and adding a toggle key to enable/disable the mode. Games with 3D Compatibility Mode will launch in this mode by default. To change the render mode back to standard 3D Vision...

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.