From 5a2114019480304227dfaaa566d67d7bdc159ef6 Mon Sep 17 00:00:00 2001 From: Michael Vincerra Date: Thu, 6 Dec 2018 18:28:29 -0800 Subject: [PATCH] Applies product name change per tvb. Signed-off-by: Michael Vincerra --- source/clear-linux/tutorials/dlaas.rst | 27 +++++++++++++------------- 1 file changed, 14 insertions(+), 13 deletions(-) diff --git a/source/clear-linux/tutorials/dlaas.rst b/source/clear-linux/tutorials/dlaas.rst index 1a112a4a..4cd36e88 100644 --- a/source/clear-linux/tutorials/dlaas.rst +++ b/source/clear-linux/tutorials/dlaas.rst @@ -1,16 +1,16 @@ .. _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`_.