Skip to main content

3D News

Okay, we've gone over all the submissions for our first Winter Photo Contest and debated at length over our favorites. And, we've finally come to a consensus, which will introduce our second, second-time contest winner: ZZ3D.   First Prize: Snow Fight   ZZ3D's a long-time contributor to 3DVisionLive and has shared some amazing work with us. Snow Fight is certainly no exception! We felt this image captured the essence of the contest's Winter theme very well, and...
The votes have all been cast and we can now, finally, bring you the results of our First Annual Summer Photo Contest. Dozen's of excellent images were submitted and it was a challenge to whittle all the entries down and select the prize winners. Without further ado we get to the results - drumroll please!   First Prize: "Soap Bubble" Zoran Zelic (ZZ3D)'s "Soap Bubble 1" takes the top prize. We like the spontaneity the image implies along with the overall composition...
Sometimes it’s just great “when a plan comes together.” An avid warbird photographer, I’d been familiar with Christian Kieffer’s outstanding pinup photography for years – his company produces some truly amazing nostalgic calendars featuring vintage WWII aircraft and models done up to mimic the pinups from the same era that helped to keep many an airman’s spirits high. Thinking the subject matter would lend itself well to 3D, I approached Christian a few months ago about...
The 2004 release of id Software’s Doom 3 spurred many PC gamers to upgrade their rigs – with many building completely new machines with the sole intent of driving this game at its ultimate eye-candy settings. And many gamers still came up a bit short, which is just one reason why they are looking forward to jumping into the corridor-crawling fray again with the release of Doom 3 BFG Edition.Silverlight.createObject("
We’ve rolled out a new look for the Photo page that updates the page to have a similar look and feel to the home and video pages. We’ve added a pane of larger thumbnails across the top that is user-navigable. Just click the right or left arrows to cycle. (We will be adding an auto-scroll mechanism to this soon.) And these are viewable in 3D - just click the 2D/3D toggle button at the top right of the page. Make sure to upgrade to the most recent drivers for best performance...

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.