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):
# 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 |
#!/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 |
##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
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)
- Create new instance in default network
- Chosse Ubuntu 16.04 LTS
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 |