CUTTING EDGE
Note
Availability of Cutting Edge capabilities and articles across the Creodias regions:
WAW3-1
Available now
WAW3-2
Available now
FRA1-2
Available now
CF-2
Not available
- Install TensorFlow on Docker Running on CREODIAS vGPU Virtual Machine
- Sample Deep Learning Workflow Using TensorFlow Running on Docker on CREODIAS vGPU Virtual Machine
- What We Are Going To Do
- Prerequisites
- Code Explanation
- Practical Workflow
- Step 1: Download the resources to your virtual machine
- Step 2: Move the downloaded resources to the appropriate location
- Step 3: Create a Dockerfile and file requirements.txt
- Step 4: Unzip and delete the archive containing the training data
- Step 5: Verify That All the Needed Files are in the Correct Place
- Step 6: Build a Docker Image and Enter it
- Step 7: Run the Python code
- Step 8: Extract the Files From the Container
- Step 9: Download the File with the Results to Your Local Machine
- Performance Comparison
- What Can Be Done Next
- Install TensorFlow on vGPU enabled VM on CREODIAS
- Sample Deep Learning workflow using vGPU and EO DATA on CREODIAS
- Sample SLURM Cluster on CREODIAS Cloud with ElastiCluster
- What We Are Going To Cover
- Prerequisites
- Always use the latest value of image id
- Preparation Step 1 Create an OpenStack Keystone User
- Preparation Step 2 Create a New Key Pair
- Preparation Step 3 Create Security Group
- Preparation Step 4 How to set up Python and virtual env
- Preparation Step 5 Source OpenStack RC File
- Preparation Step 6 Install ElastiCluster
- Installation Step 1 Create ~/.elasticluster/config
- Installation Step 2 How to Enter Correct Values into ElastiCluster Config Template
- Installation Step 3 Run and verify cluster setup
- Step 4 Troubleshooting and Debugging
- What To Do Next
- Sample Workflow: Running EO Processing MPI jobs on a SLURM Cluster on CREODIAS Cloud
- How to Prepare and Use Open Data Cube on CREODIAS Cloud
- What We Are Going To Cover
- Prerequisites
- Step 1 Create virtual machine for Open Data Cube
- Step 2 Add a security group for Jupiter Lab
- Step 3 Add floating IP to connect to your instance
- Step 4 Connect to the VM using SSH
- Step 5 Prepare Sentinel Hub credentials
- Step 6 Test Data Cube and Sentinel Hub integration
- Step 7 Connect to jupyter-lab and test the integration
- Troubleshooting
- How to Login to Data Explorer on CREODIAS Cloud
- How to Download a Single Product Using Data Explorer on CREODIAS Cloud
- Processing Products with Data Explorer on CREODIAS Cloud
- Processing Sentinel-5P data on air pollution using Jupyter Notebook on CREODIAS