A server that comes pre-installed with TensorFlow and machine learning packages
In addition to TensorFlow, over 200 analysis packages are available on a dedicated virtual server, including PyTorch, Keras, Pandas, Numpy, Scikit-Learn, and Gensim. Data analysts can perform analysis and write visualization code in Jupyter Notebook. Plus, management tools for the Conda virtual environment are enabled by default, making data analysis easier.
Feature | Description |
---|---|
Main Analysis Packages | TensorFlow, Keras, Gensim, PyTorch, Theano, and more (Package versions distributed may change depending on how fast the TensorFlow version is upgraded.) |
Add-ons | Management tools for the Conda virtual environment and management scripts for Jupyter Notebook |
OS | Ubuntu 20.04 Server (64bit)
CentOS 7.8 Server (64bit) |
Feature | Description |
---|---|
Main Analysis Package | TensorFlow, Keras, Gensim, PyTorch, Theano, and more (Package versions distributed may change depending on how fast the TensorFlow version is upgraded.) |
Additional Convenience | Management tools for the Conda virtual environment and management scripts for Jupyter Notebook |
OS | CentOS 7.3 Server (64bit) CentOS 7.8 Server (64bit) |
With the Jupyter Notebook used for data science tasks, such as data analysis, machine learning, etc., you can work in the same analysis environment at any time, from anywhere. You can also use the provided scripts to manage the Jupyter processes, including starting, stopping, restarting a server and resetting your account password in the terminal environment.
NAVER Cloud’s Ncloud TensorFlow Server uses TensorFlow, an open-source machine learning software library developed by the Google Brain team.
OS | Version | Usage Fee (Month) |
---|---|---|
Ubuntu 20.04 / CentOS 7.8 GPU Support | Tensorflow 2.x (Stable Latest) (The package version distributed may change depending on the version up speed of TensorFlow.) | Fees for using Server and public IP are charged Recommended Specification: For 1 GPU, vCpu 4, 24G memory, 50G HDD ※ See the usage fee of the GPU Server for details. |
Ubuntu 20.04 / CentOS 7.8 CPU | Tensorflow 2.x (Stable Latest) (The package version distributed may change depending on the version up speed of TensorFlow.) | Fees for using Server and public IP are charged Recommended Specification: For 4 vCPU and 16G memory ※ CPU Intensive type server refer to Server fee guide |
OS | Version | Usage Fee (Month) |
---|---|---|
CentOS 7.3 / CentOS 7.8 GPU Support | Tensorflow 1.13.x (Stable Latest) (The package version distributed may change depending on the version up speed of TensorFlow.) | Fees for using Server and public IP are charged Recommended Specification: For 1 GPU, vCpu 4, 24G memory, 50G HDD ※ See the usage fee of the GPU Server for details. |
CentOS 7.3 / CentOS 7.8 CPU | Tensorflow 1.13.x (Stable Latest) (The package version distributed may change depending on the version up speed of TensorFlow.) | Fees for using Server and public IP are charged Recommended Specification: For 4 vCPU and 16G memory ※ CPU Intensive type server refer to Server fee guide |