Here is a list of cuda graphics cards for use with your favorite applications.
https://github.com/search?o=desc&q=cuda&s=stars&type=Repositories
| ProductName | BusType | MemorySize | GpuClock | MemoryClock | CudaCores |
|---|---|---|---|---|---|
| RTX A40 | PCIe 4.0 x16 | 48 GB | 1305 MHz | 1812 MHz | 10752 |
| RTX A6000 | PCIe 4.0 x16 | 48 GB | 1455 MHz | 2000 MHz | 10752 |
Create a openVPN server on Google Cloud Platform to connect to your Google Cloud network using openVPN and/or to route your internet traffic through the VPN (Road Warrior Scenario)
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
| #!/bin/bash | |
| # Cisco Anyconnect CSD wrapper for OpenConnect | |
| # Enter your vpn host here | |
| CSD_HOSTNAME= | |
| if [[ -z ${CSD_HOSTNAME} ]] | |
| then | |
| echo "Define CSD_HOSTNAME with vpn-host in script text. Exiting." | |
| exit 1 | |
| fi |
| # Create your superuser | |
| $ mongo | |
| > use admin | |
| > db.createUser({user:"someadmin",pwd:"secret", roles:[{role:"root",db:"admin"}]}) | |
| > exit | |
| # Alias for convenience (optional and at your own risk) | |
| $ echo 'alias mongo="mongo --port 27017 -u someadmin -p secret --authenticationDatabase admin"' >> ~/.bash_profile | |
| $ source ~/.bash_profile |
In general, check the crt/host_config.h file to find out which versions are supported.
Sometimes it is possible to hack the requirements there to get some newer versions working, too :)
Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.
Download Archives: https://developer.nvidia.com/cuda-toolkit-archive
Release notes for CUDA Toolkit (CTK):
