Setting up NVIDIA GPU CLOUD

#ICYDK: As I have bought new PC and set up NGC ( NVIDIA GPU CLOUD ), here is the memo of my setting-up process.

1. Registration for NGC

   Access to https://www.nvidia.com/ja-jp/gpu-cloud and push Register Now button.

   Input necessary information and Read Term of Use

   Push Sign-up buttom

   Access to e-mail sent after registration and Reset password

2. Get API key

   Access to https://ngc.nvidia.com/ and sign in

   Generate API Key by pushing “Generate API Key” buttom

   Confirm the generation by pushing “Confirm” buttom

   Save the API key for later use

3. Logging in to NGC

   $ sudo docker login nvcr.io

       Username: $oauthtoken

       Password:

4. Get docker image

   Select docker image and download

   $ sudo docker pull nvcr.io/nvidia/tensorflow:18.06-py3

5. Run Docker

   $ sudo nvidia-docker run -it –rm -v : nvcr.io/nvidia/tensorflow:18.06-py3

   root# python >>> import tensorflow as tf
>>> hello = tf.constant(‘Hello, TensorFlow!’)
>>> sess = tf.Session()
>>> sess.run(hello) Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a+b)
42

6. Test Confirmation

   $ sudo docker run –runtime=nvidia –rm nvcr.io/nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04 nvidia-smi https://goo.gl/inSuis #DataScience #Cloud

DZone Research: API Management Issues

To gather insights on the current and future state of API management, we talked to 17 executives who are using APIs in their own organization, as well as helping clients use APIs to accelerate their digital transformation and the development of quality applications. We asked them “What are the most common issues you see affecting API management?”

Here’s what they told us: https://goo.gl/7SWGCh #DataIntegration #ML