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Caffe Python 3.6 NVidia GPU Production

Jetware | 171216c10p363c90176c705

Linux/Unix, Amazon Linux 2017.09.1 - 64-bit Amazon Machine Image (AMI)

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External reviews

3 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Ahmad A.

let's accelerate the process of training modules using Caffe Python 3.6 NVidia GPU Production

  • December 17, 2021
  • Review provided by G2

What do you like best?
Easy to employ GPU enhancement and its support
What do you dislike?
luck of affordability in some versions of operating systems
What problems is the product solving and how is that benefiting you?
vehicle-type classification using CNN


    Computer Software

When all of the products are packed together into a single package, it is incredibly efficient.

  • December 15, 2021
  • Review provided by G2

What do you like best?
It appealed to me because everything needed for deep learning is conveniently located. It would take a long time to configure everything from scratch when running deep learning on a local or cloud system. However, by doing this, we can save time because everything has already been prepared.
What do you dislike?
I'm only utilizing it for a short period of time. That's why, in the first place, I couldn't think of anything to dislike. However, I feel that everything has a defect. So, if I come across a glitch or a feature that makes me despise your product, I'll definitely contact you first.
What problems is the product solving and how is that benefiting you?
I've worked on a few NLP projects. In the near future, I believe I will use it for GAN work. In addition, I intend to work on a single-cell thesis here.


    Md R.

Its very efficient when we can have all the state of art technology stacks in one bundle.

  • December 15, 2021
  • Review provided by G2

What do you like best?
Everything I need for a deep learning operation performs packed into one. I like that very much cause it will reduce my time preparing one environment for my project. cause some times preparing one new environment installing all the things one by one is very hectic
What do you dislike?
Like this, I am new to this product I haven't been able to get any difficulties yet. but I believe there might be some lacking which i might find in latar days. I will sure let the team know then
What problems is the product solving and how is that benefiting you?
I have been working with GAN problems right now. I plan to use it for serious CNN problems as it provides good GPU support. This works highly needs GPU support. Thanks for this really impressive idea


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