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Applies product name change per tvb.

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Signed-off-by: Michael Vincerra <michael.vincerra@intel.com>
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Michael Vincerra
2018-12-06 18:28:29 -08:00
parent 62cdbe1439
commit 5a21140194
1 changed files with 14 additions and 13 deletions
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source/clear-linux/tutorials/dlaas.rst
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.. _dlaas:
Deep Learning as a Service
##########################
Intel® Deep Learning as a Service Stack
#######################################
This tutorial shows you how to run benchmarking workloads in |CL-ATTR| using
TensorFlow\* and Kubeflow with the Intel® Deep Learning Stack.
TensorFlow\* and Kubeflow with the Intel® Deep Learning as a Service Stack.
The Intel® Deep Learning Stack is available in two versions. The first is
`Eigen`_, which includes `TensorFlow`_ optimized for Intel® architecture. The
second is `Intel MKL-DNN`_, which includes the TensorFlow framework optimized
using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN)
primitives.
The Intel® Deep Learning as a Service Stack is available in two versions.
The first is `Eigen`_, which includes `TensorFlow`_ optimized for Intel®
architecture. The second is `Intel MKL-DNN`_, which includes the TensorFlow
framework optimized using Intel® Math Kernel Library for Deep Neural
Networks (Intel® MKL-DNN) primitives.
.. contents:: :local:
:depth: 1
@@ -18,11 +18,12 @@ primitives.
Release notes
=============
View current `release notes`_ for the Intel® Deep Learning Stack.
View current `release notes`_ for the Intel® Deep Learning as a Service
Stack.
.. note::
Performance test numbers in the Intel® Deep Learning Stack were obtained using `runc` as the runtime.
Performance test numbers in the Intel® Deep Learning as a Service Stack were obtained using `runc` as the runtime.
Prerequisites
=============
@@ -151,7 +152,7 @@ accessible across the environment.
Kubeflow
********
Once you have Kubernetes running on your nodes, you can setup `Kubeflow`_ by
Once you have Kubernetes running on your nodes, you can setup `Kubeflow`_ by
following these instructions from their `quick start guide`_.
.. code-block:: bash
@@ -180,8 +181,8 @@ Now you have all the required kubeflow packages, and you can deploy the primary
This creates the CustomResourceDefinition(CRD) endpoint to launch a TFJob.
Running the Deep Learning as a Service TFJob
============================================
Running an Intel Deep Learning as a Service Stack TFJob
=======================================================
#. Select this link for the `DLaaS ksonnet registries for deploying TFJobs`_.