Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
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Updated
Mar 25, 2018 - Shell
Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
Tutorials on running distributed deep learning on Batch AI
Vosk ASR Docker images with GPU for Jetson boards, PCs, M1 laptops and GPC
Dockerfile for deep learning on GPUs
Gentoo ebuilds of the https://github.com/NVIDIA/nvidia-docker
Some useful scripts to install common softwares
🐋🐋 Multi architecture Isaac ROS for NVIDIA Jetson and x86 - CI based
Easily Bootstrap an AI/Data Science/Deep Learning DevBox for Ubuntu Desktop 18.04 LTS
My custom Image for Quick setup of Deep Learning Libraries in Python on any machine.
⭐ 🐧 🆕 GPU Sku usage for Ubuntu 16.04-LTS and CentOS 7.4 , Standard Open Source Scheduler Deployments Torque, SLURM, PBSPro for HPC Skus for CentOS 7.4-HPC with OMS. This is presently on the GAed CentOS-HPC A9/H16R/H16MR and GPU NC6/NC12/NC24 . Latest Docker CE and nvidia-docker present in all. Updating for DIGITS for 2.0 on nvidia-runtime
Install script for mxnet
Scripts to deploy VMs and TensorFlow on Google Cloud.
This is a quick shell script file to set up with NVIDIA GPUs on Google Cloud Platform VM.
Github Actions Runner for training classifiers with CUDA acceleration using nvidia-docker and tensorflow core
A collection of dockerfiles for NVIDIA DGX-230 machine.
Docker image with NVIDIA drivers for Fedora CoreOS
Add a description, image, and links to the nvidia-docker topic page so that developers can more easily learn about it.
To associate your repository with the nvidia-docker topic, visit your repo's landing page and select "manage topics."