top of page
Logo-Transparent.png
partner-logo.png

Deep Learning GPU Torch 1.12 Server Packaged by IOanyT Innovations - Amazon Linux


OVERVIEW


Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.


Torch is an open-source machine learning library, a scientific computing framework, and a script language based on the Lua programming language. It provides a wide range of algorithms for deep learning, and uses the scripting language LuaJIT, and an underlying C implementation. It was created at IDIAP at EPFL.



Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.


GOALS

  1. One-click launch

  2. Easy configurable AMI with pre-installed Deep Learning GPU Torch 1.12 on Amazon Linux Server

INSTALLATION VIA AWS MARKETPLACE


Kindly click on the below link to install the server via AWS Marketplace:


Pending...


GET STARTED


To verify the installation, follow the below instructions


Step 1. Connect to SSH


In a terminal window, use the ssh command to connect to the instance. You specify the user name for your instance, and the public DNS name or IPv6 address for your instance, the path and file name of the private key (.pem).


ssh ec2-user@publicIP -i [Path of key pair file]

If it shows access denied message run the following command , then run the above command again to connect via ssh.

chmod 400 [Path of key pair file]

CONTACT

Let’s Work Together

IOanyT Innovations Pvt. Ltd.

Email: aws-marketplace-support@ioanyt.com

  • LinkedIn
  • Facebook

Thanks for submitting!

bottom of page