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Amazon Linux AMI with NVIDIA TESLA GPU Driver

NVIDIA | 2018.03.0.20201028.0

Linux/Unix, Amazon Linux 2018.03 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

17 AWS reviews

    Victor Reutenauer

Useless and waste of time

  • March 23, 2015
  • Review verified by AWS Marketplace

I couldn't access my instance.
I am using AWS for two year and have already spent 20KUSD, but I couldn't find any help regarding this kind of instances.
I tried with java web service shell and with ssh shell.
I tried also to access my instance volume by attaching a copy to an ubuntu instance but the procedure I was usually using wasn't working.

Rgds
Victor


    Grigory Sapunov

Ugly image

  • January 20, 2015
  • Review verified by AWS Marketplace

This Amazon Linux is ugly. Extremely old soft (for example boost is of 1.53 version, which is nearly 2 years old, the current one is 1.57). Many of useful libraries cannot be installed using yum (opencv, gflags-devel, glog-devel, lmdb-devel and other requirements for Caffe for example). NVidia driver is rather old (but not so old as boost). I'm disappointed. A lot of time is needed to just install all these libraries manually. Ubuntu offers much better user experience.


    penhelpwifi

Drivers

  • January 17, 2015
  • Review verified by AWS Marketplace

Out of date drivers for this machine, not worth updating as does not work! Installed latest version and got errors.


    Rumen Palov

Actualy not using GPU Instance

  • October 03, 2014
  • Review verified by AWS Marketplace

Hallo,

We wait 4 days for GPU Instances LIMIT Increase and we decide to build our own server with GPU for testing. So we do not have a chance to test it.


    Pete Warden

Lacking in development frameworks

  • January 27, 2014
  • Review verified by AWS Marketplace

I've managed to get my software up and running on this AMI, but the lack of documentation and general inaccessibility of Nvidia's SDKs made it a lot more painful than it needed to be. The actual development environment for CUDA applications was bare bones, without the "GPU Computing SDK" that for some reason is separate from the "CUDA Tools" system, and is currently impossible to download from Nvidia's site.

I ended up having to spend a lot of time ferreting out different versions of the different Nvidia downloads until I could find a set that worked well together, when I'd hoped that an official AMI would come pre-provisioned with the foundations I needed, or at least some docs on how to set them up.


    Jacek

GPU machine for WPA hash crack

  • January 21, 2014
  • Review verified by AWS Marketplace

Using oclHashcat (only GPU power) about 27000 Hash/s, using Elcomsoft EWSA (GPU+CPU) about 28000-29000 Hash/s.
Required up to date version of EWSA to use Grid GPU, older doesn't recognize accelerator!


    M. Hansen

Depends how you look at it

  • November 29, 2013
  • Review verified by AWS Marketplace

price wise
it is a fair deal as long as the job runs just for only a few hours.

Performance, however, is similar to a GForce 680 in terms of
GF/S so in case you have one, there is no point renting this instance.
Also a more recent GForce Titan or Radeon R9 has more computational power. Furthermore, it's just one card and not two like the previous version running two Tesla cards.

OpenCL performance is rather disappointing which seems to be inherently rooted to the Kepler Architecture. If you're developing CUDA only, this is not an issue but for porting from another GPU/APU
is not a good idea at all.

I thing Amazon should also consider AMD Radeon instance so that people have choice and can compare what kind of GPU fits their Job best.

That ~$0.65 an hour translates to $15 a day, ~$110 a week or over 400 bucks a month. For regular usage, you get already a much more powerful GPU for 400 bucks...

Do the math for yourself and ask yourself how much you are willing to pay for your GPU task.

Would I rent it again? Properly not.
Would I rent another instance with more GPU power? Maybe yes.