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Business,Business News,Business Opportunities SAN JOSE Nvidia rolled out the latest graphics board geared foruse in highly parallel technical and scientific jobs. It alsodescribed a graphics board supporting hardware virtualization and adedicated video encoder to enable use in applications such ascloud-based gaming services. The news comes at the company s GPU Technology Conference where Nvidia aims to rally more than 2,500 attendees to use itsgraphics chips in a wide range of performance-intensive parallelapps. International Data Corp.
estimates such apps will spend asmuch as $400 million on GPU boards this year, more than doubling by2016 with Nvidia taking the lion s share. Nvidia packs two Tesla K10s on a single PCI Express Gen 3 board todeliver 4.58 teraflops of single-precision floating pointperformance and 320 gigabytes per second of memory bandwidth. Theboard is available now from vendors including Appro, Dell, HP, IBM,SGI and Supermicro with a double precision version, the model K20,coming in the fall. Nvidia builds the Tesla boards itself, and sells them for pricesranging from $1,500-$2,500.
They support ECC memory and parallelprogramming models such as the message passing interface ( MPI ) and are cooled by server chassis subsystems. By contrast Nvidiaconsumer graphics boards are built by third parties, sell for $99to $1,000 and use their own fans but lack ECC memory and MPIsupport. The Tesla chips are based on the same 28 nm Kepler core Nividiaannounced for consumer graphics chips in March . It sports 1,536 Nvidia proprietary Cuda rendering cores and 192control logic cores on a GHz clock. That s up from 512 and 32cores in the 40 nm Fermi parts that ran at 772 MHz.
Separately, Nvidia aims to give a boost to cloud-based gamingservices with its new VGX product, a board that packs four GPUs anda 16 Gbyte frame buffer memory. It supports hardware virtualizationand a dedicated H.264 video encoder to help overcome networklatency that could otherwise slow game data carried over longdistances. The Kepler chips support dedicated virtualization channels. Nvidiawill create its own hypervisor for the VGX boards that will runwith virtualization software from Citrix and VMWare. In future,Nvidia aims to support Microosft and Xen virtualization software onVGX.
Dell, Cisco, HP, IBM and Supermicro will sell systems using the VGXboards. Such systems aim to fuel the rise of cloud-base gamingservices that provide access to remotely hosted games atnative-like speeds. Companies including OnLive, GaiKai and Playcastalready provide such services and will work with Nvidia. Engineers representing a wide variety of high performance parallelapps will present at GTC. They include a group using Nvidiaprocessors to calculate where to land a robot on the surface of themoon as part of the LunarX grand challenge.
Others will talk aboutusing GPUs in specialized algorithms to reduce from a week to anhour the time to search for a match in a vast database offingerprints. Engineers from other fields supplied supporting quotes forNvidia s Tesla K10 launch. My seismic application is 1.8x faster on the K10, compared withthe Tesla M2090 GPU within the same power envelope, said PauloSouza, a developer at Petrobras RTM, speaking in a press statement. This technology will accelerate our ability to find and reach newoil and gas reserves, as 90 percent of our computational powercomes from the GPUs, he said. The massive amount of video data being generated from securitycameras and UAVs presents a new big data problem for the defenseindustry, said Yiannis Antoniades, a director at BAE Systems,speaking in the press statement.
We now have broad access to robust, high-quality video, but oftenwe cannot analyze it quickly enough to generate actionableintelligence, said Antoniades. GPUs are being used toaccelerate nearly every aspect of video analytics, enabling us toprovide real, valuable data to the field quicker than everbefore, he said.
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