NVIDIA, Oculus, Valve, AMD, and Microsoft have come together to introduce VirtualLink, an open standard that simplifies next-generation virtual reality (VR) headset connectivity to PCs and other devices. Instead of a range of cords and connectors, the new standard adopts the single, high-bandwidth USB Type-C connector.
Tag: NVIDIA
Machine vs Machine
Singapore blogger Daryl Aiden Yow created a storm when he manipulated stock images and posted them on his Instagram account. The 27-year-old has since apologised but his action has cast more doubt on the blogging community.
One step closer to the World Cup
With World Cup fever in full force right now, many budding players are hoping for the day when they could be under the global spotlight. Well, a little help from artificial technology (AI) may help take them a step closer.
Intel tweet that launches a new GPU war
On June 13, Intel had the GPU world in a flurry when it tweeted “Intel’s first GPU coming in 2020”. The media were quick to post stories of this incoming new GPU, which would add interesting competition to a market dominated by NVIDIA with AMD a distant second.
NVIDIA announces platform to build intelligent robots
NVIDIA has announced the availability of NVIDIA Isaac, a new platform to power the next generation of autonomous machines, bringing artificial intelligence (AI) capabilities to robots for manufacturing, logistics, agriculture, construction, and many other industries.
Taiwan’s MOST and NVIDIA to collaborate on AI efforts
Taiwan is going big on artificial intelligence (AI) and its Ministry of Science and Technology (MOST) will be collaborating with NVIDIA on AI initiatives.
Power efficient chipsets to drive edge AI
Power efficient chipsets are set to be the main driver as artificial intelligence (AI) moves makes a significant shift from the cloud to the edge, according to ABI Research.
Robot see, robot do
NVIDIA researchers have demonstrated how robots can be trained to observe and repeat human actions — a “first of its kind” capability powered by deep learning.
NVIDIA researchers head to Brisbane for ICRA
Dubbed “the brains behind the bots”, NVIDIA researchers will be heading to the International Conference on Robotics and Automation (ICRA) at Brisbane Convention and Exhibition Centre in Australia from May 21 to 25.
DEEPCORE teams up with NVIDIA to boost AI startups
Tokyo-based startup incubator DEEPCORE is partnering NVIDIA to support AI startups and promote university research programmes across Japan.
IoT goes deep
Arm is taking its recently-announced Project Trillium a step further with a collaboration with NVIDIA. The partners will bring the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into Project Trillium platform for machine learning.
Adobe and NVIDIA team up to improve Sensei
Adobe and NVIDIA have formed a strategic partnership to rapidly enhance their industry-leading artificial intelligence (AI) and deep learning technologies.
GTC hits new highs
The GPU Technology Conference (GTC) has hit new highs with a record of more than 8,000 participants, and filling the entire San Jose McEnery Convention Center.
Samsung to make cryptocurrency mining chip
Cryptocurrency mining has been given a boost with the revelation that Samsung is working on chip just for that purpose.
Mindset change needed for an AI future
Think artificial intelligence (AI) and the advent of powerful thinking machines and images of Arnold Schwarzenegger of The Terminator come to mind.
Chery to pop NVIDIA-powered ZP ProAI system into autonomous vehicles
China carmaker Chery has adopted the new ZP ProAI system, powered by NVIDIA Drive AI self-driving technology, for its autonomous vehicles. The move will bring Level 3 autonomous driving to the world’s biggest auto market.
Spectre of a Meltdown
In a week where the world’s eyes were supposed to be focusing on the exciting new gadgets and technologies coming out at CES 2018, it was news from past technologies that had the world reeling.
Learn robotics at Udacity
Robotics is no longer just a hobby but serious stuff. NVIDIA’s Deep Learning Institute is now working with online learning provider Udacity to develop a programme that will immerse students in the field of robotics, giving them career-ready skills.
We are 5!
Entelechy Asia turns five today. So much has changed since we launched in November 2012.
NVIDIA expands DLI offerings
The need for deep learning skills is increasing as more and more companies and industries hop on the bandwagon. Launch a little more than a year ago, NVIDIA’s Deep Learning Institute (DLI) has already trained tens of thousands of students, developers and data scientists.
And the company is expanding its DLI offerings with:
- New partnerships: Team up with Booz Allen Hamilton and deeplearning.ai to train thousands of students, developers and government specialists in artificial intelligence (AI).
- New University Ambassador Program: Instructors worldwide can teach students critical job skills and practical applications of AI at no cost.
- New courses: More courses are added to teach domain-specific applications of deep learning for finance, natural language processing, robotics, video analytics, and self-driving cars.
NVIDIA to hold first AI-focused conference in Singapore in October
With artificial intelligence (AI) being a hot topic this year, NVIDIA is organising its first AI-focused regional conference in Singapore on October 23 and 24.
The event will be held in two parts with the first day focusing on Deep Learning Institute (DLI) workshop where participants will received hands-on training on deep learningl and the second day filled with keynote addresses, panel discussion and three tracks. It is targeted at data scientists and senior decision makers in the field of AI in both public and private sectors.
“Singapore is aiming to be the world’s first smart nation and AI is playing a critical role. NVIDIA is well positioned to help drive the government’s Smart Nation initiative with the development of solutions based on AI. Our GPUs are making headlines across the world by enabling many breakthroughs in various industries using deep learning,” said Raymond Teh, Vice President of APAC sales and marketing at NVIDIA.
NVIDIA and Indonesia university set up first AI R&D centre in Jakarta
NVIDIA has teamed up with BINUS University and Kinetica to establish the first artificial intelligence (AI) research and development (R&D) centre in Indonesia.
Located at the university’s Anggrek Campus, the centre will support BINUS University’s aim to be the premier R&D hub for Al in Indonesia. Leveraging the power of NVIDIA’s GPUs, it will be a showcase of the commercial potential of GPU-accelerated deep learning applications.
“Today, we stand at the beginning of the AI computing era, ignited by a new computing model, GPU deep learning. This new model — where deep neural networks are trained to recognise patterns from massive amounts of data — has proven to be ‘unreasonably’ effective at solving some of the most complex problems in computer science. In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionise every industry. NVIDIA provides the products and solutions to power this revolution,” said Raymond Teh, Vice President of APAC Sales and Marketing of NVIDIA.
NVIDIA invests in Chinese auto startup
NVIDIA is among a group of investors led by Chinese social media company Sina investing more than US$20 million in Chinese startup TuSimple.
Formed in 2015, TuSimple has more than 100 employees in R&D centres in Beijing and San Diego developing technology for autonomous long-distance freight delivery. It uses NVIDIA GPUs, NVIDIA DRIVE PX 2, Jetson TX2, CUDA, TensorRT, and cuDNN to develop its autonomous driving solution.
In June, the company successfully completed a 200-mile Level 4 test drive from San Diego to Yuma, Arizona, using NVIDIA GPUs and cameras as the primary sensor.
ICML: Gathering of the brightest in AI
“I’m amazed at the quality of the papers presented. The project teams’ line of thinking and breakthrough concepts are refreshing,” exclaimed a leading artificial intelligence (AI) scientist at the International Conference on Machine Learning (ICML) in Sydney.
International Convention Centre Sydney was a massive hive of activities as 3,000 of the world’s top researchers, developers and students in AI gathered for ICML. The participants moved rapidly from one workshop to another and took great interest in the exhibition booths of top deep learning proponents such as NVIDIA, Google and Facebook.
With so many bright young talents. the event proved to be a good fishing ground for vendors as they held recruitment interviews at their booths, as well as posted openings on the board.
Beat traffic jam with new Audi A8
At the inaugural Audi Summit in Spain, Audi revealed that its flagship 2018 A8 features a multitude of high-tech wizardry powered by NVIDIA.
“The car of the future will make its occupants’ life easier with the help of artificial intelligence (AI),” declared Rupert Stadler, Chairman of the Board of Audi, as he introduced such A8 features as Audi AI Traffic Jam Pilot, Remote Park Pilot, Natural Voice Control and Swarm Intelligence.
The A8 is packed with NVIDIA powered systems, including revolutionary new user interfaces, a new infotainment system, a new virtual cockpit, and new rear seat entertainment options.
NVIDIA invests in Deep Instinct
NVIDIA is investing in Deep Instinct, an Israeli-based startup that uses deep learning to thwart cyber attacks.
Deep Instinct uses a GPU-based neural network and CUDA to achieve 99 percent detection rates, compared with about 80 percent detection from conventional cyber security software. Its software can automatically detect and defeat the most advanced cyber attacks.
“Deep Instinct is an emerging leader in applying GPU-powered AI through deep learning to address cybersecurity, a field ripe for disruption as enterprise customers migrate away from traditional solutions. We’re excited to work together with Deep Instinct to advance this important field,” said Jeff Herbst, Vice President of Business Development of NVIDIA.
NVIDIA and Baidu team up on AI
NVIDIA and Baidu have teamed up to bring artificial intelligence (AI) technology to cloud computing, self-driving vehicles and AI home assistants.
Baidu will deploy NVIDIA HGX architecture with Tesla Volta V100 and Tesla P4 GPU accelerators for AI training and inference in its data centres. Combined with Baidu’s PaddlePaddle deep learning framework and NVIDIA’s TensorRT deep learning inference software, researchers and companies can harness state-of-the-art technology to develop products and services with real-time understanding of images, speech, text and video.
To accelerate AI development, the companies will work together to optimise Baidu’s open-source PaddlePaddle deep learning framework on NVIDIA’s Volta GPU architecture.
NVIDIA receives DOE funding for HPC research
NVIDIA is among six technology companies to receive a total of US$258 funding from the US Department of Energy’s Exascale Computing Project (ECP).
The funding is to accelerate the development of next-generation supercomputers with the delivery of at least two exascale computing systems, one of which is targeted by 2021.
Such systems would be about 50 times more powerful than the US’ fastest supercomputer, Titan, located at Oak Ridge National Laboratory.
Softbank invests US$4b in NVIDIA
SoftBank Group has taken a US$4 billion stake in NVIDIA, according to Bloomberg. This dovetails nicely with SoftBank founder Masayoshi Son’s aim to become the biggest investor in technology over the next decade. NVIDIA’s stocks tripled last […]
Keeping drivers safe
With all that rage of artificial intelligence (AI) powering driverless cars, the same technology can also be used to keep drivers safe. It can acts like a guardian angel and look our for danger (watch […]
Deep Instinct is Most Disruptive Startup
Hundreds of thousands of computers in 150 countries have been hit by the WannaCry ransomware. While users are scampering around trying to fix their computers, the top of mind question is whether this could have […]
GTC draws the big guns!
As a sign of its coming of age, the GPU Technology Conference (GTC) held annually in San Jose, California since 2009, is no longer a niche event but one that is drawing the who’s who […]
Finally, the Big Bang for AI!
Artificial intelligence (AI) is not new. In fact, it has so many false starts over the past 60 years. The term went into hibernation for a long time.
Research into AI began way back in Dartmouth College in 1956 and was constantly associated with being the next frontier in the 1980s when mainframe computers ruled and supercomputers were a ginormous investment that very few could afford.
Despite the research put in over the years, the technology never quite took off and fell flat in many instances.
The making of GTC
By Edward Lim I am attending the GPU Technology Conference (GTC) in San Jose, California this week. It’s a massive conference with more than 7,000 participants from all around the world. After decades of covering and […]
Caffe2, anyone?
Facebook is developing new artificial intelligent (AI) systems to help manage the vast amount of information — such as text, images and videos — generated daily so people can better understand the world and communicate more effectively, even as the volume of information increases.
It has worked with NVIDIA on Caffe2, a new AI deep learning framework that allows developers and researchers to create large-scale distributed training scenarios and build machine learning applications for edge devices.
Providing AI-powered services on mobile is a complex data processing task that must happen within the blink of an eye. Increasingly, the processing of lightning-fast AI services requires GPU-accelerated computing, such as that offered by Facebook’s Big Basin servers, as well as highly optimised deep learning software that can leverage the full capability of the accelerated hardware.
Mercedes and NVIDIA to bring AI-powered car to market
Many cars were on display at CES last week but perhaps one of the most significant announcements is the collaboration between Mercedes-Benz and NVIDIA to bring an NVIDIA AI-powered car to market.
NVIDIA founder and CEO Jen-Hsun Huang (right) and Mercedes-Benz Vice President of Digital Vehicle and Mobility Sajjad Khan (left) talked about this new development at the Mercedes Benz Inspiration talk.
“When our teams came together there was instant chemistry, and we share a common vision about how AI can change your driving experience, and make it more enjoyable. Mercedes-Benz and NVIDIA share a common vision of the AI car. At this point it is clear AI will revolutionise the future of automobiles,,” said Huang, who pointed out that the collaboration began three years ago.
NVIDIA launches new Shield TV
NVIDIA has unveiled at CES a new Shield TV media streamer, which like its predecessors will not be available in the Asia-Pacific region. However, a separate version of Shield, with custom software optimised for China, will be available later this year.
The new device is an Android open-platform media streamer that is claimed to deliver unmatched experiences in streaming, gaming and AI.
Sporting a sleek, new design and now shipping with both a remote and a game controller, the new Shield delivers rich visual experience with support for 4K HDR and three times the performance of other streamers.
SMU uses NVIDIA DGX-1 supercomputer for food recognition project
Singapore is renowned as a food paradise. And with so many mouth-watering dishes to pick from, sometimes even locals have difficulty identifying a specific dish.
Singapore Management University (SMU) is working on a food artificial intelligence (AI) application that is calling on a supercomputer to help with recognising the local dishes to achieve smart food consumption and healthy lifestyle.
The project, developed as part of Singapore’s Smart Nation initiative, requires the analysis of a large number of food photos.
NVIDIA DGX SATURNV ranked most efficient supercomputer
NVIDIA’s new DGX SATURNV supercomputer is ranked the world’s most efficient — and 28th fastest overall — on the latest Top500 list of supercomputers.
Powered by new Tesla P100 GPUs, it delivers 9.46 gigaflops/watt — a 42 percent improvement from the 6.67 gigaflops/watt delivered by the most efficient machine on the Top500 list released last June.
Compared with a supercomputer of similar performance, the Camphore 2 system, which is powered by Xeon Phi Knights Landing, SATURNV is 2.3x more energy efficient.hat efficiency is key to building machines capable of reaching exascale speeds — that’s 1 quintillion, or 1 billion billion, floating-point operations per second. Such a machine could help design efficient new combustion engines, model clean-burning fusion reactors, and achieve new breakthroughs in medical research.
NVIDIA springs Titan X surprise
Just when we thought NVIDIA was done with the Pascal range of GPUs with the benchmark release of the GeForce GTX 1060 early this week, NVIDIA CEO Jen-Hsun Huang pulled off a major surprise with the announcement of the new NVIDIA Titan X at an artificial intelligence meeting in Stanford University.
The new NVIDIA Titan X, based on the new Pascal GPU architecture, is the biggest GPU ever built with a record-breaking 3,584 CUDA cores.
Here are the numbers that matter:
- 11 TFLOPS FP32
- 44 TOPS INT8 (new deep learning inferencing instruction)
- 12B transistors
- 3,584 CUDA cores at 1.53GHz (versus 3,072 cores at 1.08GHz in previous TITAN X)
- Up to 60 percent faster performance than previous TITAN X
- High performance engineering for maximum overclocking
- 12 GB of GDDR5X memory (480 GB/s)
VR takes centre stage at Computex
Virtual reality (VR) was the talk of the town at Computex in Taipei a couple of weeks ago.
At the NVIDIA Experience Centre in Grand Hyatt Taipei, a never-ending queue of people waited for the opportunity to check out VR demos powered by the newly-launched NVIDIA GeForce GTX 1080 GPUs.
In the halls — both at TWTC and Nangang — many exhibitors were up in force with their own flavours of VR. At one booth, a visitor put on a harness to try virtual parachuting while in several others, they checked out virtual Grand Prix racing and other demos.
NVIDIA scores perfect 10 with new GPU!
After weeks, if not months of rumours and false predictions, the announcement was finally made. NVIDIA finally revealed the much-awaited Pascal-based NVIDIA GeForce 1080.
What the rumours got correct was the new name of the card. What they missed was the launch date, which NVIDIA kept close to its hearts until CEO Jen-Hsun Huang made the announcement at a specially-gathered press event in Austin on Friday evening (Saturday morning Singapore time).
According to Huang, NVIDIA spent billions in research and development of Pascal and the new GPU.
NVIDIA appoints Raymond Teh as APAC sales and marketing chief
NVIDIA has named Raymond Teh as Vice President of Sales and Marketing for the Asia Pacific region. An IT veteran with more than 30 years of experience, Teh will lead the company’s APAC field sales […]
Pascal-based NVIDIA Tesla P100 delivers 12 times performance of previous generation accelerator
NVIDIA has introduced the NVIDIA Tesla P100 GPU, an advanced hyperscale data centre accelerator that can enable a new class of servers that can deliver the performance of hundreds of CPU server nodes.
Today’s data centres process large numbers of transactional workloads, such as web services. But they are inefficient at next-generation artificial intelligence and scientific applications, which require ultra-efficient, lightning-fast server nodes.
Based on the new NVIDIA Pascal GPU architecture, the Tesla P100 provides the performance and efficiency needed to power the computationally demanding applications. It delivers over a 12x increase in neural network training performance compared with a previous-generation NVIDIA Maxwell-based solution.
NVIDIA unveils world’s first deep learning supercomputer
At his opening keynote address at GTC in San Jose, Jen-Hsun Huang, CEO of NVIDIA made a slew of announcements, including the world’s first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence (AI).
As the first system designed specifically for deep learning, the NVIDIA DGX-1 comes fully integrated with hardware, deep learning software and development tools for quick, easy deployment. It is a turnkey system that contains a new generation of GPU accelerators, delivering the equivalent throughput of 250 x86 servers.
The DGX-1 deep learning system enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of intelligent machines that learn, see and perceive the world as humans do. It delivers unprecedented levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.
Xenith iCafe opens with 100 NVIDIA GeForce GPU-Powered PCs
Gamers in northern Thailand, specifically Chiangmai, will get to enjoy premium gaming experience with the opening of Xenith iCafe in the city.
All its 100 PCs are equipped with NVIDIA GeForce GTX 960 GPUs, which deliver advanced performance, power efficiency, and realistic gameplay based on the latest NVIDIA Maxwell technology. They also come with high quality Razer gaming gear – mouse, keyboard and headset – all tailored to give gamers the best experience.
Situated near Chiangmai University , the modern and trendy Xenith iCafe features two gaming zones – a comfort zone and a VIP zone to cater to gamers’ needs as well as to host gaming events. This is a new trend in the iCafe market where owners can better balance cost, performance and functionality while delivering the gaming experience that their customers demand.
NVIDIA adds AI and supercomputing prowess to driverless cars
The new NVIDIA DRIVE PX 2 is set to give driverless cars a major boost.
Touted at the world’s most powerful engine for in-vehicle artificial intelligence, it allows the automotive industry to use artificial intelligence (AI) to tackle the complexities inherent in autonomous driving. NVIDIA DRIVE PX2 utilises deep learning on NVIDIA’s advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.
“Drivers deal with an infinitely complex world. Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars,” said Jen-Hsun Huang, Co-founder and CEO of NVIDIA. “NVIDIA’s GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs – providing a powerful force for a better future.”
NVIDIA unveils VR-ready programme
NVIDIA is paving the way to virtual reality (VR) gaming experiences with the launch of its new VR-ready programme at CES.
Under the programme, PC and notebook makers and add-in card providers will deliver GeForce GTX VR Ready systems and graphics cards that deliver an immersive VR gaming experience. The programme minimises confusion regarding which equipment is necessary to play the range of VR games and applications increasingly coming to market.
Delivering a great VR experience demands seven times the graphics processing power of traditional 3D games and applications – driving framerates above 90 frames per second (fps) for two simultaneous images (one for each eye).
NVIDIA to unveil new technology for self-driving cars at CES
NVIDIA will unveil new technology for self-driving cars at CES, which will kick off in Las Vegas this week. Jen Hsun-Huang, CEO of NVIDIA will be hosting a press conference on January 5, 10am […]
NVIDIA brings VR to SEA
As the year heads to a close, the anticipation for virtual reality (VR) is gathering momentum. And NVIDIA has helped to raise the tempo by bringing VR to Southeast Asia in a closed door event for analysts, the media and enthusiasts.
Held on December 11 at Crown Plaza Changi Airport in Singapore, the event gave participants the opportunity to try out two of the hottest VR products — Oculus Rift and HTC Vive — powered by NVIDIA technologies.
Oculus Rift lets users immerse in three three-dimensional games (details are under embargo from the content owners), taking gaming to another level.
Leadtek releases NVS 810 graphics card for HD multi-screen output
Leadtek Research has released the new NVS 810 professional graphics card, which is designed to provide high definition multi-screen output for large exhibits, outdoor advertisement walls and other digital image output applications. The NVS 810 uses […]
NVIDIA releases SDKs for VR platforms
NVIDIA has released the 1.0 version of two powerful VR software development kits (SDKs) — NVIDIA GameWorks VR and NVIDIA DesignWorks VR — to help developers deliver VR games and applications.
Immersive VR requires seven times the graphics processing power compared to traditional 3D apps and games.
When used in conjunction with the company’s industry-leading GeForce and Quadro GPUs, these SDKs provide developers the tools to create VR experiences, increase performance, reduce latency, improve hardware compatibility, and accelerate 360-degree video broadcasts.
Accelerated systems account for more than 20% of TOP500 supercomputers
Accelerated systems, or GPU-powered systems, for the first time accounted for more than 100 on the list of the world’s 500 most powerful supercomputers. That’s a total of 143 petaflops, over one-third of the list’s total FLOPS.
NVIDIA Tesla GPU-based supercomputers comprise 70 of these systems – including 23 of the 24 new systems on the list – reflecting compound annual growth of nearly 50 percent over the past five years.
There are three primary reasons accelerators are becoming increasingly adopted for high performance computing.
- Moore’s Law continues to slow, forcing the industry to find new ways to deliver computational power more efficiently.
- Hundreds of applications – including the vast majority of those most commonly used – are now GPU accelerated.
- Even modest investments in accelerators can now result in significant increases in throughput, maximising efficiency for supercomputing sites and hyperscale datacentres.
NVIDIA introduces Battlebox PC in ANZ
At PAX Australia held over the weekend in Melbourne, NVIDIA introduced the combat-ready Battlebox PC, which is designed especially for hardcore gamers.
A Battlebox PC is a beast of a gaming machine with a powerful combination of the NVIDIA GeForce GTX 980 Ti GPU horsepower, two-Way NVIDIA SLI and the best components. It is also VR Ready and supports 4K gaming and DX12 for better visual effects and rendering techniques.
The Battlebox PC will is available from Centrecom, MSY, Mwave, PC Case Gear, PLE, Origin PC, Scorptec, and UMART in Australia, and Computer Lounge, PB Technologies and Playtech in New Zealand.
9 IT CEOs make Harvard Business Review Top 100 list
Harvard Business Review has included nine CEOs of IT companies among its Top 100 Best Performing CEOs in the world.
Slotting in among the top 50 are Cisco’s John Chambers (#2), Seagate Technology’s Stephen Luczo (#5), Canon’s Fujio Mitarai (#10), NVIDIA’s Jen-Hsun Huang (#29), and Hon Hai Precision Industry’s Terry Gou (#33).
The new study in the November issue of Harvard Business Review rated CEOs based on an 80-20 weighting between the company’s financial performance and its performance on environmental, social and governance criteria.
NVIDIA establishes APAC’s first Deep Learning Technology Centre in Singapore
NVIDIA has established the NVIDIA Technology Centre Asia Pacific, the first of its kind in the region to focus on deep learning research and development (R&D).
Located at Nanyang Technological University in Singapore, the centre will leverage the power of NVIDIA’s graphics processing unit (GPU) platforms to develop innovative solutions for both the private and public sectors.
NVIDIA will invest more than S$20 million (US$14.2M) in the centre over a three-year period. This will include the deployment of a broad range of NVIDIA technologies — from the NVIDIA DRIVE PX platform for automated driver assistance systems and self-piloted vehicles, to the NVIDIA Tesla platform, which powers deep learning on the world’s top 5 public clouds as well as some of the world’s fastest supercomputers.
Pixar licenses NVIDIA technologies to accelerate feature film production
Pixar Animation Studios is licensing a suite of NVIDIA technologies to accelerate production of its computer-animated feature films and short film content.
The multi-year strategic licensing agreement gives Pixar access to NVIDIA’s quasi-Monte Carlo (QMC) rendering methods. These methods can make rendering more efficient, especially when powered by GPUs and other massively parallel computing architectures.
“Pixar has long used NVIDIA GPU technology to push the limits of what is possible in animation and the film-making process. NVIDIA’s particular QMC implementation has the potential to enhance rendering functionality and significantly reduce our rendering times,” said Steve May, Vice President and CTO of Pixar.
NVIDIA to establish deep learning lab with China partners
NVIDIA is teaming up with China high performance computing firm Sugon and the Institute of Computing Technology, of the Chinese Academy of Sciences to jointly operate a deep learning laboratory. The laboratory will promote deep learning […]
NVIDIA software update doubles performance for deep learning training
NVIDIA has updated its GPU-accelerated deep learning software that will double deep learning training performance.
With the new software, data scientists and researchers can supercharge their deep learning projects and product development work by creating more accurate neural networks through faster model training and more sophisticated model design.
The NVIDIA DIGITS Deep Learning CPU Training System version 2 (DIGITS 2) and NVIDIA CUDA Deep Neural Network library version 3 (cuDNN 3) provide significant performance enhancements and new capabilities.
Virtual reality a hit at NVIDIA ballroom
At Computex, the exhibition officially closes at 6pm each day but at NVIDIA’s exhibition room, the doors only shut at 9pm. That’s because members of the IT industry fraternity and the public alike are making […]
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