The economics of software piracy

Software piracy exists because-

1) Lack of appropriate technological controls (like those on DVDs) or on Bit Torrents (an innovation on the centralized server like Napster) or on Streaming etc etc.

Technology to share content has evolved at a much higher pace than technology to restrict content from being shared or limited to purchasers.

2) Huge difference in purchasing power across the globe.

An Itunes song at 99 cents might be okay buy in USA, but in Asia it is very expensive. Maybe if content creators use Purchasing Power Parity to price their goods, it might make an indent.

3) State sponsored intellectual theft as another form of economic warfare- this has been going on since the West stole gunpowder and silk from the Chinese, and Intel decided to win back the IP rights to the microprocessor (from the Japanese client)

4) Lack of consensus in policy makers across the globe on who gets hurt from IP theft, but complete consensus across young people in the globe that they are doing the right thing by downloading stuff for free.

5) There is no such thing as a free lunch. Sometimes software (and movie and songs) piracy help create demand across ignored markets – I always think the NFL can be huge in India if they market it.Sometimes it forces artists to commit suicide because they give up on the life of starving musician.

Mostly piracy has helped break profits of intermediaries between the actual creator and actual consumer.

So how to solve software piracy , assuming it is something that can be solved-

I dont know, but I do care.

I give most of my writings as CC-by-SA and that includes my poems. People (friends and family) sometimes pay me not to sing.

Pirates have existed and will exist as long as civilized men romanticize the notion of piracy and bicker between themselves for narrow gains.

  1. Ephesians 4:28 Let the thief no longer steal, but rather let him labor, doing honest work with his own hands, so that he may have something to share with anyone in need.
  2. A clean confession, combined with a promise never to commit the sin again, when offered before one who has the right to receive it, is the purest type of repentance.-Gandhi
  3. If you steal, I will wash your mouth with soap- Anonymous Mother.
  4. You shall not steal- Moses
  5. Steal may refer to: Theft, the illegal taking of another person’s property without that person’s freely-given consent; The gaining of a stolen base in baseball;

 

 

Oracle R Updated!

Interesting message from https://blogs.oracle.com/R/ the latest R blog

 

_——–_

Oracle just released the latest update to Oracle R Enterprise, version 1.1. This release includes the Oracle R Distribution (based on open source R, version 2.13.2), an improved server installation, and much more.  The key new features include:

  • Extended Server Support: New support for Windows 32 and 64-bit server components, as well as continuing support for Linux 64-bit server components
  • Improved Installation: Linux 64-bit server installation now provides robust status updates and prerequisite checks
  • Performance Improvements: Improved performance for embedded R script execution calculations

In addition, the updated ROracle package, which is used with Oracle R Enterprise, now reads date data by conversion to character strings.

We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for R-related software: Oracle R DistributionOracle R EnterpriseROracleOracle R Connector for Hadoop.  As always, we welcome comments and questions on the Oracle R Forum.

 

 

Oracle R Distribution 2-13.2 Update Available

Oracle has released an update to the Oracle R Distribution, an Oracle-supported distribution of open source R. Oracle R Distribution 2-13.2 now contains the ability to dynamically link the following libraries on both Windows and Linux:

  • The Intel Math Kernel Library (MKL) on Intel chips
  • The AMD Core Math Library (ACML) on AMD chips

 

To take advantage of the performance enhancements provided by Intel MKL or AMD ACML in Oracle R Distribution, simply add the MKL or ACML shared library directory to the LD_LIBRARY_PATH system environment variable. This automatically enables MKL or ACML to make use of all available processors, vastly speeding up linear algebra computations and eliminating the need to recompile R.  Even on a single core, the optimized algorithms in the Intel MKL libraries are faster than using R’s standard BLAS library.

Open-source R is linked to NetLib’s BLAS libraries, but they are not multi-threaded and only use one core. While R’s internal BLAS are efficient for most computations, it’s possible to recompile R to link to a different, multi-threaded BLAS library to improve performance on eligible calculations. Compiling and linking to R yourself can be involved, but for many, the significantly improved calculation speed justifies the effort. Oracle R Distribution notably simplifies the process of using external math libraries by enabling R to auto-load MKL orACML. For R commands that don’t link to BLAS code, taking advantage of database parallelism usingembedded R execution in Oracle R Enterprise is the route to improved performance.

For more information about rebuilding R with different BLAS libraries, see the linear algebra section in the R Installation and Administration manual. As always, the Oracle R Distribution is available as a free download to anyone. Questions and comments are welcome on the Oracle R Forum.

YouTube Boxoffice for Bollywood Fans

While Hulu.com continues to be only-America centric (and so does Spotify), Youtube continues to have the best global strategy for media partnerships. I just came across http://www.youtube.com/BoxOffice and it shows the latest Bollywood movies for free (by streaming and by ads- it is sponsored by Intel 🙂  )

 

If you wanted to watch Bollywood and dont want to spend too much (or more likely- dont have a Bollywood rental store near you) -Check out the following movies some very new and some very classic-

Continue reading “YouTube Boxoffice for Bollywood Fans”

Amazon CC2 – The Big Cloud is finally here

Finally a powerful enough cloud computing instance from Amazon EC2 – called CC2 priced at 3$ per hour (for Windows instances) and 2.4$/hour for Linux

It would be interesting to see how SAS, IBM SPSS or R can leverage these

Storage – On the storage front, the CC2 instance type is packed with 60.5 GB of RAM and 3.37 TB of instance storage.

Processing – The CC2 instance type includes 2 Intel Xeon processors, each with 8 hardware cores. We’ve enabled Hyper-Threading, allowing each core to process a pair of instruction streams in parallel. Net-net, there are 32 hardware execution threads and you can expect 88 EC2 Compute Units (ECU’s) from this 64-bit instance type

On a somewhat smaller scale, you can launch your own array of 290 CC2 instances and create a Top500 supercomputer (63.7 teraFLOPS) at a cost of less than $1000 per hour

http://aws.typepad.com/aws/2011/11/next-generation-cluster-computing-on-amazon-ec2-the-cc2-instance-type.html

 

 

and

http://aws.amazon.com/hpc-applications/

 

 

Cluster Compute Eight Extra Large specifications:
88 EC2 Compute Units (Eight-core 2 x Intel Xeon)
60.5 GB of memory
3370 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc2.8xlarge
Price: Starting from $2.40 per hour

But some caveats

  • The instances are available in a single Availability Zone in the US East (Northern Virginia) Region. We plan to add capacity in other EC2 Regions throughout 2012.
  • You can run 2 CC2 instances by default.
  • You cannot currently launch instances of this type within a Virtual Private Cloud (VPC).

Amazon Ec2 goes Red Hat

message from Amazing Amazon’s cloud team- this will also help for #rstats users given that revolution Analytics full versions on RHEL.

—————————————————-

on-demand instances of Amazon EC2 running Red Hat Enterprise Linux (RHEL) for as little as $0.145 per instance hour. The offering combines the cost-effectiveness, scalability and flexibility of running in Amazon EC2 with the proven reliability of Red Hat Enterprise Linux.

Highlights of the offering include:

  • Support is included through subscription to AWS Premium Support with back-line support by Red Hat
  • Ongoing maintenance, including security patches and bug fixes, via update repositories available in all Amazon EC2 regions
  • Amazon EC2 running RHEL currently supports RHEL 5.5, RHEL 5.6, RHEL 6.0 and RHEL 6.1 in both 32 bit and 64 bit formats, and is available in all Regions.
  • Customers who already own Red Hat licenses will continue to be able to use those licenses at no additional charge.
  • Like all services offered by AWS, Amazon EC2 running Red Hat Enterprise Linux offers a low-cost, pay-as-you-go model with no long-term commitments and no minimum fees.

For more information, please visit the Amazon EC2 Red Hat Enterprise Linux page.

which is

Amazon EC2 Running Red Hat Enterprise Linux

Amazon EC2 running Red Hat Enterprise Linux provides a dependable platform to deploy a broad range of applications. By running RHEL on EC2, you can leverage the cost effectiveness, scalability and flexibility of Amazon EC2, the proven reliability of Red Hat Enterprise Linux, and AWS premium support with back-line support from Red Hat.. Red Hat Enterprise Linux on EC2 is available in versions 5.5, 5.6, 6.0, and 6.1, both in 32-bit and 64-bit architectures.

Amazon EC2 running Red Hat Enterprise Linux provides seamless integration with existing Amazon EC2 features including Amazon Elastic Block Store (EBS), Amazon CloudWatch, Elastic-Load Balancing, and Elastic IPs. Red Hat Enterprise Linux instances are available in multiple Availability Zones in all Regions.

Sign Up

Pricing

Pay only for what you use with no long-term commitments and no minimum fee.

On-Demand Instances

On-Demand Instances let you pay for compute capacity by the hour with no long-term commitments.

Region:US – N. VirginiaUS – N. CaliforniaEU – IrelandAPAC – SingaporeAPAC – Tokyo
Standard Instances Red Hat Enterprise Linux
Small (Default) $0.145 per hour
Large $0.40 per hour
Extra Large $0.74 per hour
Micro Instances Red Hat Enterprise Linux
Micro $0.08 per hour
High-Memory Instances Red Hat Enterprise Linux
Extra Large $0.56 per hour
Double Extra Large $1.06 per hour
Quadruple Extra Large $2.10 per hour
High-CPU Instances Red Hat Enterprise Linux
Medium $0.23 per hour
Extra Large $0.78 per hour
Cluster Compute Instances Red Hat Enterprise Linux
Quadruple Extra Large $1.70 per hour
Cluster GPU Instances Red Hat Enterprise Linux
Quadruple Extra Large $2.20 per hour

Pricing is per instance-hour consumed for each instance type. Partial instance-hours consumed are billed as full hours.

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and

Available Instance Types

Standard Instances

Instances of this family are well suited for most applications.

Small Instance – default*

1.7 GB memory
1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit)
160 GB instance storage
32-bit platform
I/O Performance: Moderate
API name: m1.small

Large Instance

7.5 GB memory
4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each)
850 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.large

Extra Large Instance

15 GB memory
8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each)
1,690 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.xlarge

Micro Instances

Instances of this family provide a small amount of consistent CPU resources and allow you to burst CPU capacity when additional cycles are available. They are well suited for lower throughput applications and web sites that consume significant compute cycles periodically.

Micro Instance

613 MB memory
Up to 2 EC2 Compute Units (for short periodic bursts)
EBS storage only
32-bit or 64-bit platform
I/O Performance: Low
API name: t1.micro

High-Memory Instances

Instances of this family offer large memory sizes for high throughput applications, including database and memory caching applications.

High-Memory Extra Large Instance

17.1 GB of memory
6.5 EC2 Compute Units (2 virtual cores with 3.25 EC2 Compute Units each)
420 GB of instance storage
64-bit platform
I/O Performance: Moderate
API name: m2.xlarge

High-Memory Double Extra Large Instance

34.2 GB of memory
13 EC2 Compute Units (4 virtual cores with 3.25 EC2 Compute Units each)
850 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.2xlarge

High-Memory Quadruple Extra Large Instance

68.4 GB of memory
26 EC2 Compute Units (8 virtual cores with 3.25 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.4xlarge

High-CPU Instances

Instances of this family have proportionally more CPU resources than memory (RAM) and are well suited for compute-intensive applications.

High-CPU Medium Instance

1.7 GB of memory
5 EC2 Compute Units (2 virtual cores with 2.5 EC2 Compute Units each)
350 GB of instance storage
32-bit platform
I/O Performance: Moderate
API name: c1.medium

High-CPU Extra Large Instance

7 GB of memory
20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: c1.xlarge

Cluster Compute Instances

Instances of this family provide proportionally high CPU resources with increased network performance and are well suited for High Performance Compute (HPC) applications and other demanding network-bound applications. Learn more about use of this instance type for HPC applications.

Cluster Compute Quadruple Extra Large Instance

23 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc1.4xlarge

Cluster GPU Instances

Instances of this family provide general-purpose graphics processing units (GPUs) with proportionally high CPU and increased network performance for applications benefitting from highly parallelized processing, including HPC, rendering and media processing applications. While Cluster Compute Instances provide the ability to create clusters of instances connected by a low latency, high throughput network, Cluster GPU Instances provide an additional option for applications that can benefit from the efficiency gains of the parallel computing power of GPUs over what can be achieved with traditional processors. Learn more about use of this instance type for HPC applications.

Cluster GPU Quadruple Extra Large Instance

22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cg1.4xlarge

 


Getting Started

To get started using Red Hat Enterprise Linux on Amazon EC2, perform the following steps:

  • Open and log into the AWS Management Console
  • Click on Launch Instance from the EC2 Dashboard
  • Select the Red Hat Enterprise Linux AMI from the QuickStart tab
  • Specify additional details of your instance and click Launch
  • Additional details can be found on each AMI’s Catalog Entry page

The AWS Management Console is an easy tool to start and manage your instances. If you are looking for more details on launching an instance, a quick video tutorial on how to use Amazon EC2 with the AWS Management Console can be found here .
A full list of Red Hat Enterprise Linux AMIs can be found in the AWS AMI Catalog.

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Support

All customers running Red Hat Enterprise Linux on EC2 will receive access to repository updates from Red Hat. Moreover, AWS Premium support customers can contact AWS to get access to a support structure from both Amazon and Red Hat.

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Resources

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About Red Hat

Red Hat, the world’s leading open source solutions provider, is headquartered in Raleigh, NC with over 50 satellite offices spanning the globe. Red Hat provides high-quality, low-cost technology with its operating system platform, Red Hat Enterprise Linux, together with applications, management and Services Oriented Architecture (SOA) solutions, including the JBoss Enterprise Middleware Suite. Red Hat also offers support, training and consulting services to its customers worldwide.

 

also from Revolution Analytics- in case you want to #rstats in the cloud and thus kill all that talk of RAM dependency, slow R than other softwares (just increase the RAM above in the instances to keep it simple)

,or Revolution not being open enough

http://www.revolutionanalytics.com/downloads/gpl-sources.php

GPL SOURCES

Revolution Analytics uses an Open-Core Licensing model. We provide open- source R bundled with proprietary modules from Revolution Analytics that provide additional functionality for our users. Open-source R is distributed under the GNU Public License (version 2), and we make our software available under a commercial license.

Revolution Analytics respects the importance of open source licenses and has contributed code to the open source R project and will continue to do so. We have carefully reviewed our compliance with GPLv2 and have worked with Mark Radcliffe of DLA Piper, the outside General Legal Counsel of the Open Source Initiative, to ensure that we fully comply with the obligations of the GPLv2.

For our Revolution R distribution, we may make some minor modifications to the R sources (the ChangeLog file lists all changes made). You can download these modified sources of open-source R under the terms of the GPLv2, using either the links below or those in the email sent to you when you download a specific version of Revolution R.

Download GPL Sources

Product Version Platform Modified R Sources
Revolution R Community 3.2 Windows R 2.10.1
Revolution R Community 3.2 MacOS R 2.10.1
Revolution R Enterprise 3.1.1 RHEL R 2.9.2
Revolution R Enterprise 4.0 Windows R 2.11.1
Revolution R Enterprise 4.0.1 RHEL R 2.11.1
Revolution R Enterprise 4.1.0 Windows R 2.11.1
Revolution R Enterprise 4.2 Windows R 2.11.1
Revolution R Enterprise 4.2 RHEL R 2.11.1
Revolution R Enterprise 4.3 Windows & RHEL R 2.12.2

 

 

 

Intel® Threading Challenge 2011 Software Contest

Logo of Intel, Jul 1968 - Dec 2005
Image via Wikipedia

One more software contests for you, but in the sub million dollar prize range

http://software.intel.com/en-us/contests/intel-threading-challenge-2011/contests.php

Intel® Threading Challenge 2011 – Win a Trip to Intel Developer Forum in San Francisco

Intel® Threading Challenge 2011 is going BIG this year! After three exciting threading competitions, our fourth Threading Challenge is stepping up the excitement with a BIG Grand Prize, a trip to the Intel Developer Forum (IDF) in San Francisco (September 13-15, 2011).

Since 2008, the Intel® Threading Challenge has attracted developers of varying experience from around the world. The active participation from the community has made the Threading Challenge not only a great programming competition, but a great way for community members to engage with each other, trade threading tips, and discover new parallel programming resources.

Last year’s format of two competition levels, Master and Apprentice, generated great excitement and opened the Threading Challenge to a new group of participants. So, we are going to continue the competition with a Master level and Apprentice level, each competing for the Grand Prize for their level, as well as individual problem awards. We know you love a great challenge and great prizes, so our Threading Challenge Team is putting together some exciting threading problems for you.

Monday, April 18, 2011 – Threading Challenge 2011 (Phase 1) Launches (both levels) at 12:00 PM (noon PDT)– The competition for 2011 is very similar to last year’s, but read on whether you’re a previous participant or new to the Threading Challenge, so you will be aware of all elements of the competition and how to compete. Then, you can start threading your way to prizes today!

Choose the right level for you!

 

Threading Challenge 2011:

• Two levels available for entry: Apprentice & Master
• Phase 1: 3 problems in each level
• Phase 2: Stay tuned for details, coming in Autumn 2011
• We will award 1st, 2nd & 3rd place prizes for each problem in each level
• No overlap of problems and each level’s problems will be offered consecutively
• Participants have the option to use the Intel® Manycore Testing Lab (MTL), consisting of 40 cores, 80 threads
• To enter the Threading Challenge 2011, please read the Official Rules and register for the competition with link in the “To Enter” Section.

The Threading Challenge will be implemented in two phases, with the 1st Phase consisting of 3 problems in each level. The details of the 2nd Phase will be announced in September 2011. For Phase 1, a new problem in each level will be launched on the days listed below at 12:00 noon (PDT) and will be open for entry for 22 days (inclusive of the problem starting day), until closing on the final problem day at 12:00 noon (PDT).

Problem Start and Closing Dates (both Master and Apprentice levels):

Problem 1:
Starts: Monday, April 18, 2011 at 12:00pm (PDT)
Ends. Monday, May 9, 2011 at 12:00pm (PDT)

Problem 2:
Starts: Monday, May 9, 2011 at 12:00pm (PDT)
Ends: Monday, May 30, 2011 at 12:00pm (PDT)

Problem 3: (Due to U.S. Memorial Day Holiday, Problem 2 will start on Tuesday, May 31, 2011)
Starts: Tuesday, May 31, 2011 at 12:00pm (PDT)
Ends: Tuesday, June 21, 2011 at 12:00pm (PDT)

*All problems start and end at 12:00 noon (Pacific Daylight Time)

Contestants will have 22 days to complete their entry submission (solution only for Apprentice OR solution and write-up for Master) for each problem. You may enter ONLY 1 problem at a time and will need to choose which level (Apprentice or Master) you wish to participate in during each problem cycle. You will be awarded points based on your solution submitted. Be sure to take advantage of our threading resources and tools, and you may validate your solution (optional) using the Intel® Manycore Testing Lab to solve your problems and get involved in the dedicated forums to earn extra points.

Each problems winners will be announced on the site after the problem is closed, and Prizes will be awarded to those problem winners (see official rules for prize distribution information). The Grand Prize, a Trip to Intel® Developer Forum (IDF) in San Francisco, will be awarded for each level to the participant that has the highest total points earned for the three problems in each level (i.e., highest total points for Master level problems and Apprentice level problems).

The Intel® Threading Challenge attracts some of the most talented developers in the world to solve parallelism code challenges. Now is your chance to take multithreading to the next level and possibly win great prizes. Demonstrate your threading expertise today!

More Details:

Intel® Threading Challenge 2011 is organized so any level of developer can have the opportunity to participate. Two levels of participation are available. The Apprentice level gives those just getting started in multithreading development a chance to try out and improve their threading skills. The Master level will be executed similarly to previous threading challenges, providing those with more experience a chance to test their skills and compete against other experienced developers.

Intel® Manycore Testing Lab – Available as Option for Threading Challenge 2011 Participants

This year competitors will have the optional opportunity to develop and validate their code using the Intel® Manycore Testing Lab. This 40-core, 80-thread development environment has the latest hardware and software available and will be used by this year’s judges to test the winning entries in Threading Challenge 2011 Phase 1.

The Intel® Manycore Testing Lab (MTL) will be made available to Threading Challenge 2011 contestants. Use of the MTL will give participants the opportunity to write and test their code on systems exactly configured to what the judges will be using to score submitted entries. No more guessing about if your code will build or how it will run. (There is no requirement to use the MTL for any part of the contest. It is strictly an optional alternative being made available to those that wish to use it.)

Windows Azure and Amazon Free offer

Simple Cpu Cache Memory Organization
Image via Wikipedia

For Hi-Computing folks try out Azure for free-

http://www.microsoft.com/windowsazure/offers/popup/popup.aspx?lang=en&locale=en-US&offer=MS-AZR-0001P#compute

Windows Azure Platform
Introductory Special

This promotional offer enables you to try a limited amount of the Windows Azure platform at no charge. The subscription includes a base level of monthly compute hours, storage, data transfers, a SQL Azure database, Access Control transactions and Service Bus connections at no charge. Please note that any usage over this introductory base level will be charged at standard rates.

Included each month at no charge:

  • Windows Azure
    • 25 hours of a small compute instance
    • 500 MB of storage
    • 10,000 storage transactions
  • SQL Azure
    • 1GB Web Edition database (available for first 3 months only)
  • Windows Azure platform AppFabric
    • 100,000 Access Control transactions
    • 2 Service Bus connections
  • Data Transfers (per region)
    • 500 MB in
    • 500 MB out

Any monthly usage in excess of the above amounts will be charged at the standard rates. This introductory special will end on March 31, 2011 and all usage will then be charged at the standard rates.

Standard Rates:

Windows Azure

  • Compute*
    • Extra small instance**: $0.05 per hour
    • Small instance (default): $0.12 per hour
    • Medium instance: $0.24 per hour
    • Large instance: $0.48 per hour
    • Extra large instance: $0.96 per hour

 

http://aws.amazon.com/ec2/pricing/

Free Tier*

As part of AWS’s Free Usage Tier, new AWS customers can get started with Amazon EC2 for free. Upon sign-up, new AWScustomers receive the following EC2 services each month for one year:

  • 750 hours of EC2 running Linux/Unix Micro instance usage
  • 750 hours of Elastic Load Balancing plus 15 GB data processing
  • 10 GB of Amazon Elastic Block Storage (EBS) plus 1 million IOs, 1 GB snapshot storage, 10,000 snapshot Get Requests and 1,000 snapshot Put Requests
  • 15 GB of bandwidth in and 15 GB of bandwidth out aggregated across all AWS services

 

Paid Instances-

 

Standard On-Demand Instances Linux/UNIX Usage Windows Usage
Small (Default) $0.085 per hour $0.12 per hour
Large $0.34 per hour $0.48 per hour
Extra Large $0.68 per hour $0.96 per hour
Micro On-Demand Instances
Micro $0.02 per hour $0.03 per hour
High-Memory On-Demand Instances
Extra Large $0.50 per hour $0.62 per hour
Double Extra Large $1.00 per hour $1.24 per hour
Quadruple Extra Large $2.00 per hour $2.48 per hour
High-CPU On-Demand Instances
Medium $0.17 per hour $0.29 per hour
Extra Large $0.68 per hour $1.16 per hour
Cluster Compute Instances
Quadruple Extra Large $1.60 per hour N/A*
Cluster GPU Instances
Quadruple Extra Large $2.10 per hour N/A*
* Windows is not currently available for Cluster Compute or Cluster GPU Instances.

 

NOTE- Amazon Instance definitions differ slightly from Azure definitions

http://aws.amazon.com/ec2/instance-types/

Available Instance Types

Standard Instances

Instances of this family are well suited for most applications.

Small Instance – default*

1.7 GB memory
1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit)
160 GB instance storage
32-bit platform
I/O Performance: Moderate
API name: m1.small

Large Instance

7.5 GB memory
4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each)
850 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.large

Extra Large Instance

15 GB memory
8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each)
1,690 GB instance storage
64-bit platform
I/O Performance: High
API name: m1.xlarge

Micro Instances

Instances of this family provide a small amount of consistent CPU resources and allow you to burst CPU capacity when additional cycles are available. They are well suited for lower throughput applications and web sites that consume significant compute cycles periodically.

Micro Instance

613 MB memory
Up to 2 EC2 Compute Units (for short periodic bursts)
EBS storage only
32-bit or 64-bit platform
I/O Performance: Low
API name: t1.micro

High-Memory Instances

Instances of this family offer large memory sizes for high throughput applications, including database and memory caching applications.

High-Memory Extra Large Instance

17.1 GB of memory
6.5 EC2 Compute Units (2 virtual cores with 3.25 EC2 Compute Units each)
420 GB of instance storage
64-bit platform
I/O Performance: Moderate
API name: m2.xlarge

High-Memory Double Extra Large Instance

34.2 GB of memory
13 EC2 Compute Units (4 virtual cores with 3.25 EC2 Compute Units each)
850 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.2xlarge

High-Memory Quadruple Extra Large Instance

68.4 GB of memory
26 EC2 Compute Units (8 virtual cores with 3.25 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: m2.4xlarge

High-CPU Instances

Instances of this family have proportionally more CPU resources than memory (RAM) and are well suited for compute-intensive applications.

High-CPU Medium Instance

1.7 GB of memory
5 EC2 Compute Units (2 virtual cores with 2.5 EC2 Compute Units each)
350 GB of instance storage
32-bit platform
I/O Performance: Moderate
API name: c1.medium

High-CPU Extra Large Instance

7 GB of memory
20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
1690 GB of instance storage
64-bit platform
I/O Performance: High
API name: c1.xlarge

Cluster Compute Instances

Instances of this family provide proportionally high CPU resources with increased network performance and are well suited for High Performance Compute (HPC) applications and other demanding network-bound applications. Learn more about use of this instance type for HPC applications.

Cluster Compute Quadruple Extra Large Instance

23 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cc1.4xlarge

Cluster GPU Instances

Instances of this family provide general-purpose graphics processing units (GPUs) with proportionally high CPU and increased network performance for applications benefitting from highly parallelized processing, including HPC, rendering and media processing applications. While Cluster Compute Instances provide the ability to create clusters of instances connected by a low latency, high throughput network, Cluster GPU Instances provide an additional option for applications that can benefit from the efficiency gains of the parallel computing power of GPUs over what can be achieved with traditional processors. Learn moreabout use of this instance type for HPC applications.

Cluster GPU Quadruple Extra Large Instance

22 GB of memory
33.5 EC2 Compute Units (2 x Intel Xeon X5570, quad-core “Nehalem” architecture)
2 x NVIDIA Tesla “Fermi” M2050 GPUs
1690 GB of instance storage
64-bit platform
I/O Performance: Very High (10 Gigabit Ethernet)
API name: cg1.4xlarge

versus-

Windows Azure compute instances come in five unique sizes to enable complex applications and workloads.

Compute Instance Size CPU Memory Instance Storage I/O Performance
Extra Small 1 GHz 768 MB 20 GB* Low
Small 1.6 GHz 1.75 GB 225 GB Moderate
Medium 2 x 1.6 GHz 3.5 GB 490 GB High
Large 4 x 1.6 GHz 7 GB 1,000 GB High
Extra large 8 x 1.6 GHz 14 GB 2,040 GB High

*There is a limitation on the Virtual Hard Drive (VHD) size if you are deploying a Virtual Machine role on an extra small instance. The VHD can only be up to 15 GB.