Taipei, November 18, 2011: Zillians, a leading cloud solution provider specializing in high performance computing, GPU virtualization middleware and massive multi-player online game (MMOG) platforms today announced the availability of vGPU – the world’s first commercial virtualization solution for decoupling GPU hardware from software. Traditionally, physical GPUs must reside on the same machine running GPU code. This severely hampers GPU cloud deployment due to the difficulty of dynamic GPU provisioning. With vGPU technology, bulky hardware is no longer a limiting factor. vGPU introduces a thin, transparent RPC layer between local application and remote GPU, enabling existing GPU software to run without any modification on a remote GPU resource.

Utilizing Mellanox Technologies InfiniBand RDMA I/O solutions and NVDIA GPUDirect technology, Zillians vGPU achieved peak data transfer rates between application and GPU hardware. This opens the door to a broader range of GPU applications that can take advantage of virtualized GPU resources, and also a boon for service providers or cloud operators looking to deploy next generation cloud services based on scalable GPU and Infiniband technologies. As interest in GPU-based HPC clusters continues to grow, vGPU represents a critical enabler for systems to realize resource sharing and improve system utilization across a variety of application domains.

“We are excited to collaborate with Zillians to provide new capabilities for high-performance and massive multi-player online gaming cloud platforms,” said Gilad Shainer, Senior Director, Market Development at Mellanox Technologies. “Mellanox InfiniBand I/O solutions with native RDMA support and GPU acceleration provide the essential technology for Zillians’ innovative vGPU solution.”

Availability

Zillians vGPU is now available for early evaluation request. Version 1.0 featuring support for NVIDIA CUDA 4.0 runtime and driver APIs will be released by the end of 2011. Version 2.0 featuring further support for OpenCL 1.1 is scheduled for release in 2012 Q1. To learn more, please visit www.zillians.com/vgpu.

SANTA CLARA, CA — (Marketwire) — 02/28/2011 – NVIDIA today announced the latest version of the NVIDIA® CUDA® Toolkit for developing parallel applications using NVIDIA GPUs.

The NVIDIA CUDA 4.0 Toolkit was designed to make parallel programming easier, and enable more developers to port their applications to GPUs. This has resulted in three main features:

• NVIDIA GPUDirect™ 2.0 Technology – Offers support for peer-to-peer communication among GPUs within a single server or workstation. This enables easier and faster multi-GPU programming and application performance.
• Unified Virtual Addressing (UVA) – Provides a single merged-memory address space for the main system memory and the GPU memories, enabling quicker and easier parallel programming.
• Thrust C++ Template Performance Primitives Libraries – Provides a collection of powerful open source C++ parallel algorithms and data structures that ease programming for C++ developers. With Thrust, routines such as parallel sorting are 5X to 100X faster than with Standard Template Library (STL) and Threading Building Blocks (TBB).

“Unified virtual addressing and faster GPU-to-GPU communication makes it easier for developers to take advantage of the parallel computing capability of GPUs,” said John Stone, senior research programmer, University of Illinois, Urbana-Champaign.

“Having access to GPU computing through the standard template interface greatly increases productivity for a wide range of tasks, from simple cashflow generation to complex computations with Libor market models, variable annuities or CVA adjustments,” said Peter Decrem, director of Rates Products at Quantifi. ”The Thrust C++ library has lowered the barrier of entry significantly by taking care of low-level functionality like memory access and allocation, allowing the financial engineer to focus on algorithm development in a GPU-enhanced environment.”

The CUDA 4.0 architecture release includes a number of other key features and capabilities, including:

• MPI Integration with CUDA Applications – Modified MPI implementations automatically move data from and to the GPU memory over Infiniband when an application does an MPI send or receive call.
• Multi-thread Sharing of GPUs – Multiple CPU host threads can share contexts on a single GPU, making it easier to share a single GPU by multi-threaded applications.
• Multi-GPU Sharing by Single CPU Thread – A single CPU host thread can access all GPUs in a system. Developers can easily coordinate work across multiple GPUs for tasks such as “halo” exchange in applications.
• New NPP Image and Computer Vision Library – A rich set of image transformation operations that enable rapid development of imaging and computer vision applications.
• New and Improved Capabilities
  • Auto performance analysis in the Visual Profiler
  • New features in cuda-gdb and added support for MacOS
  • Added support for C++ features like new/delete and virtual functions
  • New GPU binary disassembler

A release candidate of CUDA Toolkit 4.0 will be available free of charge beginning March 4, 2011, by enrolling in the CUDA Registered Developer Program at: www.nvidia.com/paralleldeveloper. The CUDA Registered Developer Program provides a wealth of tools, resources, and information for parallel application developers to maximize the potential of CUDA.

For more information on the features and capabilities of the CUDA Toolkit and on GPGPU applications, please visit:www.nvidia.com/cuda.

LOS ANGELES,CA – July 26, 2010 – PEER 1 Hosting (TSX:PIX), a global online IT hosting provider, today announced the availability of the industry’s first large-scale, hosted graphics processing unit (GPU) Cloud at the 37th Annual Siggraph International Conference.

The system runs the RealityServer® 3D web application service platform, developed by mental images, a wholly owned subsidiary of NVIDIA. The RealityServer platform is a powerful combination of NVIDIA Tesla GPUs and 3D web services software. It delivers interactive and photorealistic applications over the web using the iray® renderer, which enables animators, product designers, architects and consumers to easily visualize 3D scenes with remarkable realism.

With the use of massively parallel NVIDIA Tesla GPUs, PEER 1 Hosting can now offer customers flexible and reliable access to a system capable of delivering high computational performance across demanding applications. These include graphics rendering, complex quantitative processing, video compression, and large-model 3D web services for access by mobile clients.

Hosting he GPUs and software within the cloud simplifies customer implementation and provides an inexpensive entry point for new users. It also minimizes internal IT pressures so businesses can focus their talent on core business operations.

“With their commitment to best-in-breed technology and state-of-the-art data centers, PEER 1 Hosting has all the skills to deliver a service of this kind and make the power of the GPU more accessible than ever before,” says Sumit Gupta, product line manager of Tesla products at NVIDIA. “RealityServer running on PEER 1 Hosting’s GPU Cloud will enable software developers of other Web 2.0 websites to offer 3D web applications, making the consumer experience on the Internet even more interactive.”

NVIDIA’s Tesla S1070 and Tesla M2050 (Fermi architecture-based) hosted GPUs, as well as RealityServer are now available for purchase worldwide and will be hosted as a managed hosting offering at PEER 1 Hosting data centers in Toronto, Canada and London, UK. As part of the launch at the Siggraph International Conference, PEER 1 Hosting, mental images and NVIDIA are offering free trials and proof of concepts for new customers to see first-hand how well the GPU Cloud performs.

“We’re excited to support and deliver high performance hosted GPUs from NVIDIA to our customers,” says Robert Miggins, PEER 1 Hosting‘s Senior Vice President Business Development. “The combination of the high performing GPUs running on our robust SuperNetwork™, with the on demand flexibility of the cloud, is truly an industry first.”

About PEER 1 Hosting
PEER 1 Hosting is one of the world’s leading IT hosting providers. The company is built on two obsessions: Ping & People. Ping, represents its commitment to best-in-breed technology, founded on a high performance 10Gb SuperNetwork™ connected by 17 state-of-the-art data centres, 21 points-of-presence and 10 colocation facilities throughout North America and Europe. People, represents its commitment to delivering outstanding customer service to its more than 10,000 customers worldwide, backed by a 100 percent uptime guarantee and 24x7x365 FirstCall Support™. PEER 1 Hosting’s portfolio includes Managed Hosting, Dedicated Servers under the ServerBeach brand, Colocation and Cloud Services. Founded in 1999, the company is headquartered in Vancouver, Canada, with European operations headquartered in Southampton, UK. PEER 1 Hosting shares are traded on the TSX under the symbol PIX. For more information visit: www.peer1.com or www.peer1hosting.co.uk.

Forward Looking Statements:
Statements in this release relating to matters that are not historical fact are forward-looking statements based on current expectations, forecasts and assumptions that involve risks and uncertainties that could cause actual outcomes and results to differ materially. Factors that could cause or contribute to such differences include, but are not limited to, general economic conditions, changes in technology, reliance on third party manufacturing, managing rapid growth, global sales risks, limited intellectual property protection and other risks and uncertainties described in PEER 1 Hosting’s public filings with securities regulatory authorities.

Media Contact:
For North American inquiries please contact Katie Boland at MAVERICK PR, 416-640-5525 ext. 228, katieb@maverickpr.com
For European media inquiries please contact Champion Communications +44 (0)207 268 3439 PEER1hosting@championcomms.com

Nexiwave.com, the speech indexing company, announced a partnership with UbiCast, a leading webcast equipment and hosting provider. Through the partnership, UbiCast will become the first company to offer deep audio search as a standard, cost-effective feature to customers.

Florent Thiery, CTO of UbiCast, said: “UbiCast customers produce large amounts of high-value content, but finding and retrieving archived information has been a challenge. Until now, rich spoken content has not been searchable on a broad scale because it was simply too expensive to process. The new Nexiwave.com technology, which is accelerated by GPUs, is making ubiquitous processing cost-justifiable for the first time ever.”

Nexiwave.com is the first commercial GPU-accelerated speech indexing service provider. The company’s services include audio search, speech-to-text output for speech analytics, automated subtitles, speaker segmentation and transcription time stamping. Nexiwave 2.0, accelerated by NVIDIA GPUs and CUDA, was released in June 2010 and is in production. Nexiwave.com offers SaaS (software as a service) and cloud computing solutions as well as software licenses. contact info@nexiwave.com or visit www.nexiwave.com.

More details at top500.org.

AUSTIN, Texas, — Financial institutions are turning to graphics processing unit (GPU) computing for real economic and performance benefits. Fast and accurate derivatives pricing model development and accelerated execution speeds are crucial for today’s derivatives marketplace. SciComp Inc. has enhanced SciFinance®, its flagship derivatives pricing software, to help quantitative developers further shorten Monte Carlo derivatives pricing model development time and create models with faster execution speeds. SciFinance® now features support for NVIDIA® Tesla™ 20-series GPUs and CUDA™ 3.0.

“The mathematical problems of pricing derivatives are tailor-made for GPU computing, and Monte Carlo simulations enjoy some of the fastest speed-ups on GPUs: from 50 to over 300 times faster compared to serial code,” said Curt Randall, executive vice president of SciComp. “This execution speed increase makes it feasible to replace grid solutions (CPUs and interconnects) with a GPU system. GPU costs are a tiny percentage of the cost of a grid solution and offer radical reductions in both footprint and power consumption.”

SciFinance takes advantage of new GPU hardware and software from NVIDIA

“Our customers can quickly take advantage of the speed increases afforded by NVIDIA’s latest hardware and software enhancements,” added Randall. “SciFinance automatically takes care of the CUDA programming issues. Customers need not have any CUDA or parallel computing expertise, and no hand coding is needed. All it takes is one keyword “CUDA” added to a pricing model specification and SciFinance automatically produces optimized GPU-enabled pricing model source code.”

The new NVIDIA Tesla 20-series GPUs represent a speed and feature step up from the previous generation GPUs. CUDA, a parallel computing architecture developed by NVIDIA, gives users the ability to unlock the parallel computational power of GPUs. SciFinance now supports the updated CUDA 3.0 Toolkit. At a keystroke, users can recompile their existing pricing model source code and take advantage of CUDA 3.0 for instant speedups in their derivatives pricing model runtimes.

About SciComp Inc.

A recognized leader in derivatives pricing software, SciComp is the developer of SciFinance, a financial compiler for generating C, C++ or CUDA pricing source code from concise, high-level model specifications. SciComp’s global customer base includes investment banks, money center banks, asset managers, insurance companies, hedge funds and service providers. Derivatives instruments supported include equity derivatives, convertible bonds, cross currency/interest rate derivatives, commodity/energy derivatives, FX products, credit derivatives and cross asset structures. Visit http://www.scicomp.com or call 512-451-1050 for more information.

###

All rights reserved. SciFinance is a registered trademark of SciComp Inc. NVIDIA, Tesla and CUDA are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice. Certain statements in this press release including, but not limited to, statements as to: the benefits, features, uses, impact, and capabilities of NVIDIA GPUs, NVIDIA CUDA technology and SciFinance are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.

For more information, please contact:

Stacy Formby
SciComp Inc.
sformby@scicomp.com
+1 512 451 1050 x212

http://www.scicomp.com

SANTA CLARA, CA — (Marketwire) — 10/28/2010 — Tianhe-1A, a new supercomputer revealed today at HPC 2010 China, has set a new performance record of 2.507 petaflops, as measured by the LINPACK benchmark, making it the fastest system in China and in the world today.

Tianhe-1A epitomizes modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.

More importantly, a 2.507 petaflop system built entirely with CPUs would consume more than 12 megawatts. Thanks to the use of GPUs in a heterogeneous computing environment, Tianhe-1A consumes only 4.04 megawatts, making it 3 times more power efficient — the difference in power consumption is enough to provide electricity to over 5000 homes for a year.

Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.

“The performance and efficiency of Tianhe-1A was simply not possible without GPUs,” said Guangming Liu, chief of National Supercomputer Center in Tianjin. “The scientific research that is now possible with a system of this scale is almost without limits; we could not be more pleased with the results.”

The Tianhe-1A supercomputer will be operated as an open access system to use for large scale scientific computations.

“GPUs are redefining high performance computing,” said Jen-Hsun Huang, president and CEO of NVIDIA. “With the Tianhe-1A, GPUs now power two of the top three fastest computers in the world today. These GPU supercomputers are essential tools for scientists looking to turbocharge their rate of discovery.”

NVIDIA Tesla GPUs, based on the CUDA™ parallel computing architecture, are designed specifically for high performance computing (HPC) environments and deliver transformative performance increases across a wide range of HPC fields, including drug discovery, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.

For more information on NVIDIA Tesla high performance GPU computing products, go here.

Epistasis refers to the interaction of two or more genes and is thought to play a major role in the genetics of susceptability to disease. One way to detect epistasis is through computationally-intensive statistical algorithms, such as those employed in data mining. Insilicos plans to exploit the concurrency inherent in these algorithms by using commodity graphics processors.

The initial research involves comparison of studies associating genetic markers and disease (genome-wide association studies, or “GWAS”) with data describing DNA expression levels (expression quantitative trait loci, or ”eQTL”). One technical challenge will involve assessing the statistical significance of such comparisons across multiple independently-conducted studies. Researchers from the fields of statistics, genetics and computational biology will be involved in the work.

“We are excited by the opportunity to help understand the role of epistasis in human disease,” notes Mark Seligman, Principal Investigator for the project. “We are also delighted to be working with a distinguished interdisciplinary team of researchers. The availability of affordable high-performance hardware such as the GPU is making such collaborations much more practical and appealing.”

Insilicos develops diagnostics based on advanced biomarker discovery techniques. The company is based in Seattle. More information:  www.insilicos.com / info@insilicos.com / 206.965.9680

For more information, visit www.TOP500.org.