China’s top technology companies are betting big on the NVIDIA Volta platform.
Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures to accelerate AI for a broad range of enterprise and consumer applications.
At the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU. Built with 21 billion transistors, it provides a 5x improvement over the preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering the equivalent performance of 100 CPUs for deep learning. This performance surpasses by 4x the improvements that Moore’s law would have predicted over the same period of time.
Inspur, Lenovo and Huawei are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres. Using HGX as a starter “recipe,” original equipment manufacturer and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.
According to a Google Cloud Platform blog, cloud GPUs can accelerate workloads including machine learning training and inference, geophysical data processing, simulation, seismic analysis, molecular modeling, genomics and many more high performance compute use cases.
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.
Tokyo Institute of Technology plans to create Japan’s fastest AI supercomputer, which is will deliver more than twice the performance of its predecessor to slide into the world’s top 10 fastest systems.
Called Tsubame 3.0, it will use Pascal-based NVIDIA P100 GPUs that are nearly three times as efficient as their predecessors, to reach an expected 12.2 petaflops of double precision performance.
Tsubame 3.0 will excel in AI computation with more than 47 PFLOPS of AI horsepower. When operated with Tsubame 2.5, it is expected to deliver 64.3 PFLOPS, making it Japan’s highest performing AI supercomputer.
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.
Server vendors are leveraging the performance of NVIDIA graphics processor unit (GPU) accelerators for 64-bit ARM development systems for high performance computing (HPC).
ARM64 server processors were primarily designed for micro-servers and web servers because of their extreme energy efficiency. Coupled with GPU accelerators using the NVIDIA CUDA 6.5 parallel programming platform, they can now tackle HPC-class workloads.
GPUs provide ARM64 server vendors with the muscle to tackle HPC workloads, enabling them to build high-performance systems that maximise the ARM architecture’s power efficiency and system configurability.
NVIDIA has announced the first GPU-acceleration of Adobe Illustrator CC – enabling graphic artists to seamlessly interact with vector art at any resolution, and to smoothly pan and zoom significantly faster than previously possible. With this new feature powered by NVIDIA GPUs, Illustrator CC can now accelerate the entire canvas by up to 10-times faster than previously possible on Windows 7 or 8-based systems with compatible GPUs.
GPU acceleration in Illustrator CC specifically benefits the wide range of users working with 2D vector graphics, including graphic designers, illustrators and typographers creating media across web, print, mobile and more. While GPU acceleration is the norm in 3D content creation, those working in 2D have traditionally been restricted to driving all computing performance through the CPU. Now 2D artists and designers can experience fully interactive performance with even the most complex, high-resolution graphics.
This new Illustrator CC performance boost is based on an optimised NVIDIA technology called NV Path Rendering that is implemented as an extension to OpenGL, an open standard for graphics performance.
Xiaomi introduced a slew of products in Beijing yesterday and one that really stood out was Mi Pad, it first tablet powered by the ultra-fast NVIDIA Tegra K1 mobile processor.
Sporting a 7.9-inch display with 2,048 x 1,536 resolution, this tablet comes with very long battery life — its 6700 mAh battery is good for up to 1300 hours of standby time or 11 hours of video streaming. It features 8MP rear and 5MP front cameras, 2GB of RAM, and 16GB or 64GB of built-in memory. If more storage is needed, there’s a microSD slot.
What’s amazing is under the hood. Powering the Mi Pad is the 192-core NVIDIA Tegra K1 mobile processor, which is based on the parallel processing GPU architecture found in the world’s most powerful supercomputers.
Visitors to SIGGRAPH Asia last week were the first to see and catch the demo of NVIDIA GRID VCA in Asia.
Essentially, NVIDIA GRID VCA is a powerful GPU-based system that runs complex applications such as Autodesk and sends their graphics output over the network to be displayed on a client computer. This gives users the graphics experience they would get from a dedicated desktop workstation.
When available in Asia in the first half of 2014, NVIDIA GRID VCA will bring graphics power to small and medium businesses, and workgroups in large enterprises.
Design firms, film studios, post production facilities, architectural firms, and other businesses can then give creative and engineering design teams access to graphics-intensive applications with unprecedented performance, flexibility and security.
IBM and NVIDIA plan to collaborate on GPU-accelerated versions of IBM’s wide portfolio of enterprise software applications — taking GPU accelerator technology for the first time into the heart of enterprise-scale data centres.
The collaboration aims to enable IBM customers to more rapidly process, secure and analyse massive volumes of streaming data.
“Harnessing GPU technology to IBM’s enterprise software platforms will bring advanced, in-memory processing to a wider variety of new application areas,” said Sean Poulley, Vice President of Databases and Data Warehousing at IBM. “We are looking at a new generation of higher-performance solutions to help data center customers overcome their most challenging computing problems.”
The NVIDIA Tesla K40 GPU accelerator is arguably the world’s highest performance accelerator ever built. It is capable of delivering extreme performance to a wide range of scientific, engineering, high performance computing (HPC), and enterprise applications.
Providing double the memory and up to 40 percent higher performance than its predecessor, the Tesla K20X GPU accelerator, and 10 times higher performance than the fastest CPU, the Tesla K40 GPU is the world’s first and highest-performance accelerator optimised for big data analytics and large-scale scientific workloads.
Featuring intelligent NVIDIA GPU Boosttechnology, which converts power headroom into a user-controlled performance boost, the Tesla K40 GPU accelerator enables users to unlock the untapped performance of a broad range of applications.
AMD fired the first salvo after a long period of silence to reignite the GPU battle. But, NVIDIA has hit back immediately and regained the crown with the GeForce GTX 780 Ti. Besides sheer performance, NVIDIA’s armoury also includes G-SYNC, GeForce Experience and ShadowPlay.
Visual computing is no longer just about gaming but has now permeated everyday lives, Dr Simon See, Director and Chief Solution Architect of NVIDIA, told a gathering of 450 start-ups, investors and R&D providers in digital media.
He pointed out that GPUs now help power the 3D web, location-based visualisation applications, creative content creation, computer vision, user interfaces, image recognition, HD video processing, and virtual worlds.
In his talk, Simon also discussed the vibrant ecosystem of developers that have adopted the CUDA GPU computing platform, how early stage companies can leverage the GPU for visual and other computing applications, and what global programmes NVIDIA offers to nurture and inspire innovation and business opportunities throughout these ecosystems.
NVIDIA has launched the NVIDIA GeoInt Accelerator, the world’s first GPU-accelerated geospatial intelligence platform to enable security analysts to find actionable insights quicker and more accurately than ever before from vast quantities of raw data, images and video.
The platform provides defence and homeland security analysts with tools that enable faster processing of high-resolution satellite imagery, facial recognition in surveillance video, combat mission planning using geographic information system (GIS) data, and object recognition in video collected by drones.
It offers a complete solution consisting of an NVIDIA Tesla GPU accelerated system, software applications for geospatial intelligence analysis, and advanced application development libraries.
Established in 2006 as a research institute at the National University of Singapore (NUS), the NUS Risk Management Institute (RMI) is dedicated to financial risk management. Its establishment was supported by the Monetary Authority of Singapore (MAS) under its program on Risk Management and Financial Innovation.
In 2009, RMI embarked on a non-profit Credit Research Initiative (CRI) in response to the financial crisis, with the intent to spur research and development in the critical area of credit rating. Besides being just a typical research project, it wanted to demonstrate the operational feasibility of its research and become a trusted source of credit information.
CRI currently covers more than 35,000 companies in 106 economies in Asia-Pacific, North America, Europe, Latin America, Africa, and the Middle East.
Founded by Rich Ho in Singapore in 2004, Richmanclub Studios is a motion picture production company. Its first official production was the short film, “The Alien Invasion” in 2004, which has been shown around the world. The film was the first Singaporean short film to be nominated for the “Chinese Oscar”, The Golden Horse Awards 2004 for Best International Digital Short Film.
The studio has also won the Special Technical Achievement Award (Hive Film Festival), Audience Favorite (Substation First Take) and the Asia-Pacific wide Gold Award-Digital Art (ACMSIGGRAPH ComGraph).
In 2011, Richmanclub Studios launched two additional departments – Richopus Music to offer music production services and IVI VFX to provide post-production services.
Barely a month after it introduced the first GeForce 7 series GPUs — the NVIDIA GeForce GTX 780 and the NVIDIA GeForce GTX 770 — NVIDIA has added another new card to its lineup. Priced at US$249, the new NVIDIA GeForce GTX 760 GPU, is designed to deliver extreme frame rates for this year’s hottest PC games, including Call of Duty: Ghosts, Watch Dogs, and Battlefield 4,.
According to NVIDIA, this would be its last GeForce 7 series card to be introduced this year. The new lineup now consists of:
GeForce GTX TITAN/GeForce GTX 690
GeForce GTX 780
GeForce GTX 770
GeForce GTX 760
GeForce GTX 660
GeForce GTX 650 Ti BOOST
GeForce GTX 650 Ti
GeForce GTX 650
Powered by an NVIDIA Kepler architecture-based GPU with an incredible 2.3 gigaflops of processing horsepower, the GeForce GTX 760 is more powerful than the next-generation game consoles expected by the end of the year.
NVIDIA has unleashed the full graphics potential of enterprise desktop virtualisation with the availability of NVIDIA GRID vGPU integrated into Citrix XenDesktop 7.
NVIDIA GRID vGPU technology addresses a challenge that has grown in recent years with the rise of employees using their own notebooks and portable devices for work. These workers have increasingly relied on desktop virtualisation technologies for anytime access to computing resources, but until now this was generally used for the more standard enterprise applications. Performance and compatibility constraints had made it difficult for applications such as building information management (BIM), product-lifecycle management (PLM) and video-photo editing.
Two decades ago, hardware-based graphics replaced software emulation. Desktop virtualisation solutions stood alone as the only modern computing form without dedicated graphics hardware. As a result, an already busy virtualised CPU limited performance and software emulation hampered application compatibility.
NVIDIA has reported revenue for Q1 of fiscal 2014, ended April 28, 2013, of US$954.7 million, down 13.7 percent from US$1.11 billion in Q4 of fiscal 2013.
GAAP earnings per diluted share were US$0.13, down 53.6 percent from US$0.28 in the prior quarter. Non-GAAP earnings per diluted share were US$0.18, down 48.6 percent from US$0.35 in the prior quarter.
As previously announced, NVIDIA plans to return in excess of $1 billion this fiscal year to shareholders in the form of share repurchases and quarterly dividend payments. During Q1, NVIDIA returned US$146.3 million to shareholders by repurchasing US$100 million of shares, and paying US$46.3 million of dividends, or US$0.075 per share.
What’s the sweet spot in pricing for gamers looking for a graphics card to play this year’s hottest games? While those who are more financially endowed will go for the highest end cards, such as the NVIDIA GeForce GTX 680 or 690, NVIDIA believes that most mainstream gamers are prepared to fork out around US$169.
Putting this belief into action, the company has just launched the NVIDIA GeForce GTX 650 Ti BOOST GPU, which is based on the NVIDIA Kepler architecture and equipped with 768 NVIDIA CUDA cores. This new product is available in two flavours – the 2GB version for US$169 and the 1GB configuration for US$149.
This introduction has led to a revision of pricing for other NVIDIA cards with the entry level
NVIDIA has introduced the industry’s first visual computing appliance that enables businesses to deliver ultra-fast GPU performance to any Windows, Linux or Mac client on their network.
The NVIDIA GRID Visual Computing Appliance (VCA) is a powerful GPU-based system that runs complex applications such as those from Adobe Systems, Autodesk and Dassault Systèmes, and sends their graphics output over the network to be displayed on a client computer. This remote GPU acceleration gives users the same rich graphics experience they would get from an expensive, dedicated PC under their desk.
NVIDIA GRID VCA provides enormous flexibility to small and medium-size businesses with limited IT infrastructures. Their employees can, through the simple click of an icon, create a virtual machine called a workspace. These workspaces – which are, effectively, dedicated, high-performance GPU-based systems – can be added, deleted or reallocated as needed.
Think graphics processing unit (GPU) and most would relate it to mainly gaming. But enterprises are finding new ways to leverage the power of GPUs to tackle big data analytics and advanced search for both consumer and commercial applications.
Shazam, Salesforce.com and Cortexica are among those expanding the use of GPUs beyond their traditional role of processing massive data sets and complex algorithms for high performance computing science and engineering applications. They rely on NVIDIA Tesla GPU accelerators for areas as diverse as audio search, big data analytics and image recognition.
“GPU accelerators provide great value to applications with lots of data or computations,” said Sumit Gupta, General Manager of the Tesla accelerated computing business at NVIDIA. “A growing number of applications that provide mobile service and social media analysis have both. And that’s prompting their providers to turn to GPU accelerators as they scale up their infrastructure to meet growing demand.”
The power of supercomputing brought to the desktop. That’s what NVIDIA has done with the introduction of the GeForce GTX TITAN. Powered by the fastest GPU on the planet, it is designed to unleash the world’s fastest gaming PCs including personal gaming supercomputers and svelte, quiet, small form-factor PCs.
GeForce GTX TITAN is built with the same NVIDIA Kepler architecture that powers Oak Ridge National Laboratory’s newly launched Titan supercomputer, which tops the list of the Top 500 supercomputers in the world.
By harnessing the power of three GeForce GTX TITAN GPUs simultaneously in three-way SLI mode, gamers can max out every visual setting without fear of a meltdown while playing any of the most demanding PC gaming titles.
NVIDIA has introduced NVIDIA Tegra 4 , the world’s fastest mobile processor, with record-setting performance and battery life to flawlessly power smartphones and tablets, gaming devices, auto infotainment and navigation systems, and PCs.
Tegra 4 offers exceptional graphics processing, with lightning-fast web browsing, stunning visuals and new camera capabilities through computational photography.
Previously codenamed “Wayne,” Tegra 4 features 72 custom NVIDIA GeForce GPU cores – or six times the GPU horsepower of Tegra 3 – which deliver more realistic gaming experiences and higher resolution displays. It includes the first quad-core application of ARM’s most advanced CPU core, the Cortex-A15, which delivers 2.6x faster web browsing and breakthrough performance for apps.
Tegra 4 also enables worldwide 4G LTE voice and data support through an optional chipset, the fifth-generation NVIDIA Icera® i500 processor. More efficient and 40 percent the size of conventional modems, i500 delivers four times the processing capability of its predecessor.
Six leading international cloud-gaming companies plan to use the NVIDIA GRID Cloud Gaming Platform to deliver gaming services to global broadband companies.
The NVIDIA GRID Platform enables the smooth, seamless interactive experience of a high-performance gaming PC anywhere, on any screen – including smart TVs, PCs, tablets and smartphones.
NVIDIA GRID is a server designed to concurrently serve up to 36 times more HD-quality game streams than first-generation cloud-gaming systems, while reducing lag. It is fully integrated with a high density of NVIDIA® GPUs, specialised graphics-application streaming software and NVIDIA® VGX™ Hypervisor technology, which allows multiple users to share a GPU.
Initial partners on the NVIDIA GRID Platform include Agawi (United States); Cloud Union (China); Cyber Cloud Technologies (China); G-cluster Global (Japan); Playcast Media Systems (Israel); and Ubitus (Taiwan).
Global visual effects giant Rhythm & Hues (R&H) recently completed the lion’s share of visual effects shots on the acclaimed new film, “Life of Pi,” leveraging NVIDIA GPUs to maximize throughput and accelerate creative workflows. “Life of Pi,” from Academy Award-winning director Ang Lee, tapped legions of R&H artists at offices in Los Angeles, India, Kuala Lumpur, Vancouver, and Taiwan to create several hundred visual effects shots in stereo 3D that included the Bengal tiger, digitally recreated water and skies, Meerkat Island and myriad additional creatures and effects.
R&H is known for its custom development of proprietary visual effects tools, many of which are written specifically for the GPU. One of those tools, dubbed Rampage, was particularly instrumental in achieving the remarkable skies that set the tone in this tale of an Indian zookeeper’s son named Pi, shipwrecked with a Bengal tiger and adrift in the Pacific Ocean.
Seventy more widely used applications have added support for GPU acceleration so far this year, bringing the total number available to researchers, engineers and designers to more than 200, according to NVIDIA.
Three of the newest applications to offer GPU acceleration are:
ANSYS® Fluent®: ANSYS Fluent enables engineers to develop more aerodynamic cars and planes, which can save millions of dollars in fuel costs, or improve thermal management and reliability of electronic integrated circuit packages. ANSYS Fluent has added a new beta solver with single GPU support to its market-leading NVIDIA® CUDA® applications, including ANSYS Mechanical™.
MSC® Nastran®: Used by nearly every automotive manufacturer worldwide, MSC Nastran is a GPU-accelerated structural mechanics simulation application that helps optimise noise, vibration and harshness (NVH) performance, which are among the most often directly perceived quality attributes of a vehicle.
CHARMM: Widely used by scientists to study biological processes at the molecular level, CHARMM’s GPU acceleration enables a more accurate study of key proteins involved in disease, as well as interactions with drug candidates, as a means to develop more effective treatments.
“GPU computing first gained momentum among researchers who could download CUDA to accelerate their own applications for scientific discovery and research,” said Addison Snell, chief executive officer of Intersect360 Research. “We are now in a new era where more commercial software is GPU-optimised, providing accelerated options across the full spectrum of engineering and business computing.”
A partial list of other GPU-accelerating applications shipping or in development includes:
Most Accessible Parallel Processors The advent of massively parallel GPU accelerators that are easily programmable in popular high-level languages or using auto-parallelising compilers has given impetus to developers to maximize application performance.
Accelerators give developers a great degree of flexibility to take advantage of dramatic application speedups using familiar languages like C, C++ and Fortran, or using the directives-based OpenACC standard programming model.
Simple extensions to these high-level programming languages enable specifying parallelism using the NVIDIA CUDA parallel computing platform and programming model. Today the CUDA platform is supported by every NVIDIA GPU, resulting in a worldwide installed base of more than 415 million CUDA GPUs.
Learn more about accelerated computing and supported software applications at NVIDIA booth 2217 at SC12, November 12-15.