Italy's "Eurora" supercomputer -- which uses NVIDIA Tesla GPU accelerators based on NVIDIA Kepler, the world's fastest and most efficient high performance computing (HPC) architecture -- has set a new record for data center energy efficiency, NVIDIA today announced. The Eurora supercomputer, built by Eurotech and deployed Wednesday at the Cineca facility in Bologna, Italy, the country's most powerful supercomputing center, reached 3,150 megaflops per watt of sustained performance -- a mark 26 percent higher than the top system on the most recent Green500 list of the world's most efficient supercomputers.

Eurora broke the record by combining 128 high-performance, energy-efficient NVIDIA Tesla K20 accelerators with the Eurotech Aurora Tigon supercomputer, featuring innovative Aurora Hot Water Cooling technology, which uses direct hot water cooling on all electronic and electrical components of the HPC system.

GIGABYTE is proud to announce two new models of workstation motherboards and one new model dedicated to mission critical server applications. All of them being based on the Intel Xeon processors E5-2600 product family, these new models are designed to answer demanding needs for computing resources across various usage models, form factors and scales. While these products have been naturally thought for scenarios requiring heavy computing power through GPUs or GPGPU / co-processors cards, from CAD/CAE to rendering, simulation and modeling, their most notable advantage relies in their unique memory performance capability. GIGABYTE motherboards support DDR3-1600 MHz speeds with 16 GB 1.35V RDIMMs.

Achieved through GIGABYTE's capabilities in design, PCB layout and BIOS fine-tuning, this feature will be most appreciated in the many workstation applications where improvements in memory frequency result in speeding up the user's productivity and in all the industries relying on server applications where each incremental improvement in memory performance results in significant benefits, such as in finance.

TechPowerUp released version 0.6.7 of GPU-Z, the popular graphics subsystem information, monitoring, and diagnostic utility. The new release brings some feature-additions, support for more graphics processors, and stability improvements. To begin with, we made room in the GPU-Z window to display TMU (texture memory unit) count. Support for a large number of recently-launched GPUs, including Radeon HD 7870 "Tahiti LE," mobile GeForce 600 series MX, and from Quadro family, were added.

TechPowerUp GPU-Z 0.6.7 also brings a few UI enhancements. To begin with, GPU-Z remembers window position from its previous session, cutting you time for positioning it right for screenshots. Next up, when minimized, its tray icon does more than just show you the app is running. Its tooltip (visible when hovered), displays some important sensor data. A new "-tab" command line parameter allows proverclockers to script-launch GPU-Z showing a specific tab. Among the bugs fixed are one related to a crash occurring on CrossFire setups (a Catalyst-related bug), another crash occurring on NVIDIA setups when updating sensor data (GeForce driver-related bug), temperature reading on AMD "Llano" APUs is improved.DOWNLOAD: TechPowerUp GPU-Z 0.6.7, TechPowerUp GPU-Z 0.6.7 ASUS ROG Themed

The change-log follows.

EK Water Blocks is working on a new Full Cover water block for the latest NVIDIA Quadro 5000K graphics- and Tesla K20 computing card thus providing world's first water cooling solution for NVIDIA Maximus technology.

The upcoming EK-FCQ5000K will be designed specifically for the latest GK100 based Nvidia Quadro 5000K professional graphics card while the upcoming EK-FCTK20 (GeForce GK110 based) will be designed specifically for Nvidia Tesla K20 computing card.

EK Water Blocks, Ljubljana based premium water cooling gear provider, officially introduces the EK-FCQ6000, their debut CAD/CAM/HPC graphics card full-cover water block for nVidia Quadro 6000- & 5000 series professional graphics card as well as Tesla C20xx & M20xx computing cards. Complete compatibility list can be found on Cooling Configurator.

This water block directly cools the GPU, RAM as well as VRM (voltage regulation module) as water flows directly over these critical areas thus allowing the graphics card and it's VRM to remain 100% stable under any given workload. EK-FCQ6000 water block also features a high flow design therefore it can be easily used in liquid cooling systems using weaker water pumps.

NVIDIA today unveiled the NVIDIA Tesla K20 family of GPU accelerators, the highest performance, most efficient accelerators ever built, and the technology powering Titan, the world's fastest supercomputer according to the TOP500 list released this morning at the SC12 supercomputing conference.

Armed with 18,688 NVIDIA Tesla K20X GPU accelerators, the Titan supercomputer at Oak Ridge National Laboratory in Oak Ridge, Tenn. seized the No. 1 supercomputer ranking in the world from Lawrence Livermore National Laboratory's Sequoia system with a performance record of 17.59 petaflops as measured by the LINPACK benchmark.

Asetek Inc., the world's leading supplier of liquid cooling solutions for computers, announced today that its hot water, direct-to-chip RackCDU liquid cooling systems will cool NVIDIA Tesla K20 GPU accelerators and that these cooling solutions will be on display at SC12.

Asetek direct-to-chip technology captures heat directly into liquid and removes it from the data center in an all liquid path. Asetek liquid is 4000 times more efficient as a coolant than air. With this efficiency, Asetek RackCDU makes deploying high density racks more practical at a data center scale while simultaneously reducing data center cooling energy consumption by over 50%. Density is particularly important in HPC/supercomputing applications where large numbers of servers work simultaneously on the same problem and maintaining short communication paths between servers is critical to the overall performance of the supercomputer.

NVIDIA (NASDAQ: NVDA) today reported record revenue of $1.20 billion for the third quarter of fiscal 2013 ended Oct. 28, 2012, up 15.3 percent from the previous quarter and up 12.9 percent from a year earlier.

The company also announced that it is initiating the payment of a quarterly cash dividend, and extending its existing $2.7 billion share-repurchase program, initiated in August 2004, through December 2014.

"Investments in our new growth strategies paid off this quarter in record revenues and margins," said Jen-Hsun Huang, president and chief executive officer of NVIDIA. "Kepler GPUs are winning across the special-purpose PC markets we serve, from gaming to design to supercomputing. And Tegra is powering some of the most innovative tablets, phones and cars in the market."

Following last week's announcement of the ARM Cortex-A50 series, SoC designers formed a bee-line to license the ARMv8 IP. Among them is NVIDIA, and not just for its Tegra line of high-performance mobile chips, but also for Tesla, its GPU compute accelerator line. In an interview with InfoWorld, NVIDIA CTO for Tesla, Steve Scott, was quoted saying, "Tegra is going to become GPU computing capable in the not-so-distant future. Sometime this decade we are also going to start bringing integrated CPUs and GPUs together in the Tesla line". NVIDIA perhaps is looking at building Tesla GPU compute servers with the x86 CPU completely replaced with efficient ARMv8 64-bit processors.

Specifications of NVIDIA's Tesla K20 GPU compute processor, which was launched way back in May, are finally disclosed. We've known since then that the K20 is based on NVIDIA's large GK110 GPU, a chip never used to power a GeForce graphics card, yet. Apparently, NVIDIA is leaving some room on the silicon that allows it to harvest it better. According to a specifications sheet compiled by Heise.de, Tesla K20 will feature 13 SMX units, compared to the 15 available on the GK110 silicon.

With 13 streaming multiprocessor (SMX) units, the K20 will be configured with 2,496 CUDA cores (as opposed to 2,880 physically present on the chip). The core will be clocked at 705 MHz, yielding single-precision floating point performance of 3.52 TFLOP/s, and double-precision floating point performance of 1.17 TFLOP/s. The card packs 5 GB of GDDR5 memory, with memory bandwidth of 200 GB/s. Dynamic parallelism, Hyper-Q, GPUDirect with RDMA are part of the new feature-set. The TDP of the GPU is rated at 225W, and understandably, it uses a combination of 6-pin and 8-pin PCI-Express power connectors. Built in the 28 nm process, the GK110 packs a whopping 7.1 billion transistors.

The enterprise CPU market is about to flare up soon, with the introduction of a third player in high-performance chips, next to Intel Xeon and AMD Opteron. X-bit Labs unearthed plans by NVIDIA to build on its Tegra success by designing high-performance server processors based on the ARM machine-architecture. The server market is far more varied in terms of machine-architectures, than PC, and the addition of an ARM-based high-performance chip is unlikely to fail. NVIDIA reportedly codenamed its development "Project Boulder."

Due in 2014, the CPU built under Project Boulder will be designed to, at least initially, replace traditional x86 Xeon/Opteron CPUs in Tesla Compute Accelerators, machines loaded with Tesla GPUs to process complex computational problems. The Boulder chip will be designed to handle serial processing loads, leaving parallel loads to the GPUs. A lot could ride on Boulder's success, as it could motivate NVIDIA to address other computing segments.

NVIDIA posted a statement following last week's interactive session lead by Linus Torvalds, at a Finnish University, which didn't end too well for NVIDIA. The audience complained to Torvalds about lack of consistency between features available to Windows and Linux, and NVIDIA's stubbornness to help the community come up with alternative solutions to get the advertised features (such as Optimus) to work. NVIDIA's statement focuses on exactly that, consistency of features across platforms, and states that it is one of NVIDIA's priorities.

The statement by NVIDIA doesn't refute any of what a member of the audience complained about. There is still no proper Optimus feature made available by NVIDIA to Linux users, but a reminder that NVIDIA recently made changes to its drivers that makes interface with an alternative system software made by various open-source communities, the Bumblebee Project, easier. Said the statement "While we understand that some people would prefer us to provide detailed documentation on all of our GPU internals, or be more active in Linux kernel community development discussions, we have made a decision to support Linux on our GPUs by leveraging NVIDIA common code, rather than the Linux common infrastructure. While this may not please everyone, it does allow us to provide the most consistent GPU experience to our customers, regardless of platform or operating system."

The statement follows:

NVIDIA today announced that its GPUs will be used by scientists at Germany's Forschungszentrum Jülich, which hosts the Jülich Supercomputing Centre, one of Europe's largest and most powerful supercomputing resources, to accelerate advanced neurological research targeted at unlocking secrets of the human brain.

NVIDIA also announced a new, multiyear collaboration with the center to drive the next generation of GPU-accelerated scientific research in neuroscience and a range of other fields, including astronomy, astrophysics, material science, particle physics, and protein folding. Together the two organizations are launching the "NVIDIA Application Lab," a jointly run and staffed resource for the European scientific community located at the center's facilities in Jülich.

NVIDIA today announced that the SAGA system, India's most powerful supercomputer and the holder of the 85 position on the Top500 list released yesterday, is leveraging NVIDIA GPUs to dramatically improve the design and analysis of the delivery vehicles critical to the nation's space program.

Developed by the Indian Space Research Organization (ISRO), one of the six largest space research agencies in the world, the SAGA supercomputer is used to tackle complex aeronautical problems. Harnessing the power of 640 NVIDIA Tesla GPUs and providing up to 394 teraflops of peak performance, SAGA enables ISRO to accelerate and improve the design and analysis of new and existing satellite launch vehicles by enabling more complex and accurate design simulations.

ISC'12 - NVIDIA Tesla K10 GPUs offer performance breakthroughs on popular high performance computing (HPC) applications -- ranging from seismic processing to life sciences to video processing -- according to new benchmarks NVIDIA released today.

Based on the new NVIDIA Kepler computing architecture, the Tesla K10 GPU delivers the industry's highest single precision performance (4.58 teraflops) and highest memory bandwidth (320 GB/sec) in a single accelerator. This is 12 times higher single precision flops and 6.4 times higher memory bandwidth than the latest-generation Intel Sandy Bridge CPUs.

NVIDIA today announced that NVIDIA Tesla GPUs are now available in Fujitsu's PRIMERGY CX400 S1 servers, offering high-performance GPU-accelerated computing to Fujitsu's large installed base of customers in Japan and Europe.

Fujitsu designed the PRIMERGY CX400 S1 server for high performance in a compact form factor by using half-wide, two-socket server nodes -- doubling the number of cores per unit height. The system houses either four 1U hot-plug PRIMERGY CX250 S1 server nodes with two CPUs per node, or two 2U hot-plug CX270 S1 server nodes with two CPUs and one NVIDIA Tesla GPU per node.

Dell announced today it is expanding its client virtualization solutions with the introduction of the first virtualized 2U rack workstation enabling up to four concurrent professional graphics users to work from a single workstation from virtually anywhere. The Dell Precision R5500 rack workstation is the first four-GPU (graphics processing unit) configuration to be certified by Citrix with GPU pass-through on Citrix XenServer 6 using Citrix XenDesktop HDX 3D Pro, and brings additional security, IT resource optimization and end user flexibility to high performance workloads. This new usage model is designed for customers running 3D workloads in the engineering, medical, media and entertainment, scientific, software development and economic and finance market segments looking to support additional users on a single workstation.

SGI, the trusted leader in technical computing, today announced the availability of a complete, managed GPU solution of its SGI Rackable servers with the new high-performance NVIDIA Tesla K10 GPU Computing Accelerator. Coupled with SGI Management and Performance Suite software, the solution is built, completely integrated, and tested in SGI's manufacturing facility so that it can be installed at the customer site and begin running application codes in less than a day.

The next-generation NVIDIA Tesla K10 GPU Accelerator is designed for throughput and performance per watt. It features two ultra-efficient GK104 GPUs that provide up to 2X performance per watt for single precision applications than its predecessor, the M2090. The NVIDIA Tesla K10 features two GK104 GPUs with 1536 CUDA cores each and 4 GB of memory operating at 160 GB/second per GPU. These GPUs are shown to be particularly well suited to single high precision workloads, including seismic processing, signal, image and video analysis, and radio astronomy.

NVIDIA today unveiled a new family of Tesla GPUs based on the revolutionary NVIDIA Kepler GPU computing architecture, which makes GPU-accelerated computing easier and more accessible for a broader range of high performance computing (HPC) scientific and technical applications.

The new NVIDIA Tesla K10 and K20 GPUs are computing accelerators built to handle the most complex HPC problems in the world. Designed with an intense focus on high performance and extreme power efficiency, Kepler is three times as efficient as its predecessor, the NVIDIA Fermi architecture, which itself established a new standard for parallel computing when introduced two years ago.

NVIDIA today announced that BGI, the world's largest genomics institute, is launching a service that will enable researchers worldwide to perform affordable next-generation sequencing (NGS) bioinformatics analysis in the cloud.

The new "EasyGenomics" service from Shenzhen, China-based BGI combines an intuitive user interface with BGI's automated pipeline analysis, software and tools. These are integrated with the industry's largest sequencing platform to provide everything biologists, bioinformaticists and, ultimately, physicians need to submit and receive an automated analysis of DNA sequencing data.

NVIDIA today announced that NVIDIA Tesla GPUs are being used by a team of German scientists participating in a global competition to land a robotic rover on the moon by 2015.

Developed to foster a new era of lunar exploration, the Google Lunar X PRIZE offers the largest international incentive prize in history. A total of $30 million will be awarded to the first privately funded teams that safely land a rover on the surface of the moon, drive the rover 500 meters over the lunar surface, and transmit detailed video, images and data back to Earth for further study.

NVIDIA today announced that the two most powerful supercomputers in Russia will use NVIDIA GPUs to address some of the world's most challenging scientific problems across a broad range of fields.

Underscoring the dramatic growth in the adoption of GPU computing across world scientific communities, the new Russia Top 50 supercomputer list released today reveals that the top two systems are accelerated by NVIDIA Tesla GPUs. These two supercomputers are housed at Lomonosov Moscow State University, which was recently named a CUDA Center of Excellence, and the Joint Supercomputer Center of the Russian Academy of Sciences (JSCC RAS). Moreover, GPUs are accelerating 12 of the country's top 50 systems -- up from seven just six months ago.

The HPC Advisory Council, a leading organization for high-performance computing (HPC) research, outreach and education, today announced a new NVIDIA GPU-based HPC development center. The new center is part of the HPC Advisory Council's High Performance Center, and will provide remote access to the HPC community free of charge for developing, testing and benchmarking the next generation of HPC applications.

The Center will provide developers with the ability to test their HPC applications on NVIDIA Tesla M2090 GPUs, the world's most powerful parallel processors. Designed from the ground up for HPC, computational science and supercomputing, NVIDIA's Tesla M2090 GPUs provide 512 CUDA cores with 665 gigaflops of peak performance to accelerate even the most demanding computationally intensive workloads.

NVIDIA today announced that its NVIDIA Tesla GPUs will be included in HP ProLiant Generation 8 (Gen8) servers, delivering new levels of computational performance for scientific applications at world-class power efficiency.

HP ProLiant SL250 Gen8 CPU-GPU hybrid servers combine the world's most powerful parallel processors, NVIDIA Tesla M2090 GPUs, with new Intel Xeon E5-2600 series CPUs based on the Sandy Bridge microarchitecture.

NVIDIA today announced that its NVIDIA Tesla GPUs will be featured, for the first time, on two Dell PowerEdge 12th generation rack and tower servers.

Dell designed the new GPU-enabled PowerEdge R720 and PowerEdge T620 servers to accelerate a wide range of computationally intensive, industry standard applications, including Mathworks MATLAB (for computational research) and SIMULIA Abaqus (for computer-aided engineering). In addition, the new servers combine the 512-core NVIDIA Tesla M2090 GPUs with the latest Intel Xeon E5/R CPUs based on the Sandy Bridge microarchitecture to accelerate a range of scientific applications in fields such as life sciences, engineering, weather and climate, and others.