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<h1>SATORI: Getting Started Documentation for Early Access (EA)<a class="headerlink" href="#satori-getting-started-documentation-for-early-access-ea" title="Permalink to this headline">¶</a></h1>
<p>This section provides a “lightning-quick” guide for early access of
Satori users such as:</p>
<ul class="simple">
<li>How to optain your login credentials</li>
<li>How to <a class="reference external" href="satori-ssh.rst" target="_blank">connect in the Satori</a> cluster via
SSH/SCP/HTTPS</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-ai-frameworks.rst" target="_blank">Installing
Python</a>
environment (Anaconda) on your login profile</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-ai-frameworks.rst" target="_blank">Installing
WMLCE</a>
optimized Machine Learning and Deep Learning libraries and frameworks
on your login profile</li>
<li>Learn how you can start your trainig jobs.<a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-workload-manager.rst" target="_blank">Examples of training
jobs
submision</a>
and management in the Satori cluster.</li>
<li>How to manage <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-distributed-deeplearning.rst" target="_blank">distributed deep learning in TensorFlow and
Pytorch</a></li>
<li>Are you training large models that cannot be fit into GPU memory?
Have a look how you can <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-large-model-support.rst" target="_blank">enable Large Model Support
(LMS)</a>
in your TensorFLow or Pytorch python scripts.</li>
<li>Example of Snap Machine Learning
<a class="reference external" href="https://github.com/IBM/powerai/tree/master/examples/SnapML" target="_blank">(SnapML/pai4sk)</a></li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-training.rst" target="_blank">Additional
trainings</a>
(video format) for CUDA UNIFIED MEMORY, GPUDirect, LSF Workload
Manager, POWER9 SMT4 etc</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-public-datasets.rst" target="_blank">Public Datasets for Machine Learning and Deep Learning</a> on Satori that can be used day 1 in your deep learning projects. Will save your time and our Internet bandwith :)</li>
<li><a class="reference external" href="satori-troubleshooting.rst" target="_blank">Troubleshooting</a></li>
<li>You don’t find what you where looking for? have a look to <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-conda-cheatsheet.pdf" target="_blank">conda
cheet
sheet</a>
and WMLCE extended documentation
<a class="reference external" href="https://www.ibm.com/support/knowledgecenter/SS5SF7_1.6.2/navigation/wmlce_getstarted.html" target="_blank">here</a>
before asking for help.</li>
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