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Amazon Web Services Announces Amazon Cluster GPU Instances, a New Amazon EC2 Instance Type Delivering High-Powered Graphics Processing Unit ("GPU") Computing in the AWS Cloud
GPU processing is now less expensive and more accessible to a wide variety of graphics rendering and High Performance Computing (HPC) workloads

SEATTLE, Nov 15, 2010 (BUSINESS WIRE) --

Amazon Web Services LLC, an Amazon.com company (NASDAQ:AMZN), today announced Amazon Cluster GPU Instances, a new instance type designed to deliver the power of GPU processing in the cloud. GPUs are increasingly being used to accelerate the performance of many general purpose computing problems. However, for many organizations, GPU processing has been out of reach due to the unique infrastructural challenges and high cost of the technology. Amazon Cluster GPU Instances remove this barrier by providing developers and businesses immediate access to the highly tuned compute performance of GPUs with no upfront investment or long-term commitment. To get started using Amazon EC2 GPU Instances, visit: http://aws.amazon.com/ec2/hpc-applications/.

Amazon Cluster GPU Instances provide 22 GB of memory, 33.5 EC2 Compute Units, and utilize the Amazon EC2 Cluster network, which provides high throughput and low latency for HPC and data intensive applications. Each GPU instance features two NVIDIA Tesla(R) M2050 GPUs, delivering peak performance of more than one trillion double-precision FLOPS. Many workloads can be greatly accelerated by taking advantage of the parallel processing power of hundreds of cores in the new GPU instances. Numerous industries - including oil and gas exploration, graphics rendering and engineering design - are using GPU processors to improve the performance of their critical applications.

Amazon Cluster GPU Instances extend the options for running HPC workloads in the AWS cloud. Cluster Compute Instances, launched earlier this year, provide the ability to create clusters of instances connected by a low latency, high throughput network. Cluster GPU Instances give customers with HPC workloads an additional option to further customize their high performance clusters in the cloud. For those customers who have applications that can benefit from the parallel computing power of GPUs, Amazon Cluster GPU Instances can often lead to even further efficiency gains over what can be achieved with traditional processors. By leveraging both instance types, HPC customers can tailor their compute cluster to best meet the performance needs of their workloads. For more information on HPC capabilities provided by Amazon EC2, visit http://aws.amazon.com/ec2/hpc-applications.

"We were pleased to introduce Cluster Compute Instances earlier this year for our customers who needed additional network and CPU performance for their large and complex HPC workloads," said Peter De Santis, General Manager of Amazon EC2. "With Amazon Cluster GPU Instances, we are increasing the options available to our HPC customers by allowing them to choose between using high performance clusters with high performance CPUs or taking advantage of the unique processing abilities of GPU processors for applications that can benefit from the massive parallel processing power they provide. We're looking forward to seeing the innovation this will enable."

Calgary Scientific provides advanced medical imaging visualization software and application web enablement technology. The company's technology reduces time to treatment, which can drastically improve an acute care patient's outcome. "For patients in critical care scenarios, every second cut from diagnosis to treatment can lead to a more positive outcome," said Pierre Lemire, President and Chief Technology Officer, Calgary Scientific. "Calgary Scientific's technology instantly connects all of the necessary specialists, images and patient data required when making a treatment decision. Providing this critical timesaving capability across broad geographies requires the power and affordability offered by Amazon Cluster GPU Instances. GPU instances will help Calgary Scientific bring imagery from patients in need to the required medical professional with minimum infrastructure expense to the medical enterprise."

BrightScope, Inc., a company that provides financial data and analytics, sees tremendous value in the ability to rapidly deploy Amazon Cluster GPU Instances. "Our 401k portfolio simulations and analytics are a great fit for cloud computing and we anticipate significant cost and time savings by using Amazon Cluster GPU Instances in the cloud," said David Allison, Head of Engineering & Development, BrightScope, Inc. "The ability to leverage GPU computing without a large upfront capital investment is a big win for our organization, and we believe many other companies will see the same benefit."

mental images is an international provider of rendering and 3D Web services component software for entertainment, computer-aided design, scientific visualization, architecture and other industries that require sophisticated computer-generated images. "For the first time ever, AWS is putting the industry's most powerful photo-realistic rendering technology within reach of anyone connected to the Internet," said Rolf Herken, CEO and CTO of mental images. "The availability of NVIDIA Tesla(R) GPUs in the AWS cloud in the form of Amazon Cluster GPU Instances running the RealityServer(R) platform with the iray(R) renderer will provide architects, product designers, engineers, scientists and others with extraordinarily powerful tools that they can remotely access on mobile devices, PCs and other devices. Our tests have shown more than 90 percent scaling efficiency on clusters of up to 128 GPUs each."

Elemental Technologies is a leading provider of massively parallel video processing solutions for broadcast and online video customers. "Online media companies are challenged by the ever-increasing need to provide adaptive video streams to a growing array of viewing devices beyond the PC platform," said Sam Blackman, CEO and co-founder of Elemental Technologies. "Harnessing Amazon EC2 allows Elemental customers to realize the full benefits of our soon-to-be released Accelerated Cloud Transcoding family of services. Our video processing software running on Amazon Cluster GPU Instances will help us keep up with demand in the expanding multi-screen video universe."

About Amazon.com

Amazon.com, Inc. (NASDAQ: AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Amazon.com and other sellers offer millions of unique new, refurbished and used items in categories such as Books; Movies, Music & Games; Digital Downloads; Electronics & Computers; Home & Garden; Toys, Kids & Baby; Grocery; Apparel, Shoes & Jewelry; Health & Beauty; Sports & Outdoors; and Tools, Auto & Industrial. Amazon Web Services provides Amazon's developer customers with access to in-the-cloud infrastructure services based on Amazon's own back-end technology platform, which developers can use to enable virtually any type of business. Kindle, Kindle 3G and Kindle DX are the revolutionary portable readers that wirelessly download books, magazines, newspapers, blogs and personal documents to a crisp, high-resolution electronic ink display that looks and reads like real paper. Kindle 3G and Kindle DX utilize the same 3G wireless technology as advanced cell phones, so users never need to hunt for a Wi-Fi hotspot. Kindle is the #1 bestselling product across the millions of items sold on Amazon.

Amazon and its affiliates operate websites, including www.amazon.com, www.amazon.co.uk, www.amazon.de, www.amazon.co.jp, www.amazon.fr, www.amazon.ca, and www.amazon.cn. As used herein, "Amazon.com," "we," "our" and similar terms include Amazon.com, Inc., and its subsidiaries, unless the context indicates otherwise.

Forward-Looking Statements

This announcement contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934. Actual results may differ significantly from management's expectations. These forward-looking statements involve risks and uncertainties that include, among others, risks related to competition, management of growth, new products, services and technologies, potential fluctuations in operating results, international expansion, outcomes of legal proceedings and claims, fulfillment center optimization, seasonality, commercial agreements, acquisitions and strategic transactions, foreign exchange rates, system interruption, inventory, government regulation and taxation, payments and fraud. More information about factors that potentially could affect Amazon.com's financial results is included in Amazon.com's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and subsequent filings.

SOURCE: Amazon Web Services LLC

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