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SAS University Instant Type on AWS

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New Contributor
Posts: 4

SAS University Instant Type on AWS

When I start an instance of SAS University in AWS I am only given a limited number options for selecting the instance type: t2.micro, t2.small, or t2.medium. The other instance types are grayed out. I am running a simulation and need more memory than what is provided in those options. Does anyone know if there is a way to select a faster instance than the three listed above? Alternatively, does anyone know if there is another way to run SAS on Amazon's service that allows for a faster speed?

 

Thank you.

Super User
Posts: 17,760

Re: SAS University Instant Type on AWS

Download the VM and run on your own machine. You can specify the memory, though not the cores.

New Contributor
Posts: 4

Re: SAS University Instant Type on AWS

Thank you for your reply. I have never used a VM before. Does the speed of the machine I download the VM to make much of a difference for the performace of the VM? Also, do you happen to know what the maximum amount of memory I can specify for the VM?

 

Thanks again.

New Contributor
Posts: 4

Re: SAS University Instant Type on AWS

I looked into VM but it doesn't solve my problem because it runs on my machine. I am trying to use AWS because I need to run an intensive simulation and my machine isn't powerful enough to run the simulation in a reasonable amount of time. I was hoping that I could run several instances at once on AWS. However, the instances on AWS available for use with SAS University are all pretty slow. I was hoping to find another way to run SAS on AWS.

Super User
Posts: 17,760

Re: SAS University Instant Type on AWS

Some other options:

 

1. Look at a full version of SAS. See if your University offers this for a low cost, usually under $100.

2. SAS UE is a learning tool designed for learning, a complex simulation may not be possible due to the limitations.

 

 

 

 

Super User
Posts: 17,760

Re: SAS University Instant Type on AWS

There is no memory limit, and yes it would depend on the processor/computer for sure.

 

My laptop is really fast, SSD 16GBRAM but my desktop is a bit slower because its not an SSD but it also as 16GB RAM. 

Another option is to use a totally different services and run the VM on there. 

 

Set the work directory to your shared folder and although most things may take a while, they'll still run.

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