> For the complete documentation index, see [llms.txt](https://mondrian.gitbook.io/yennefer-single/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mondrian.gitbook.io/yennefer-single/eng-s1.5.0/studio/main-features/environment-preset.md).

# Environment Preset

Check the environment preset information used in your project.

**Environment presets** are IDE environments and libraries that allow you to start developing data analysis and AI algorithmic models. Environment presets are categorized by CPU / GPU. Choose the environment preset you want to use for your project and get started!

<figure><img src="https://4282080738-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrX4j7N0xGKjcONsYrDeS%2Fuploads%2FKdoLXppDa6lQgUuAbUhk%2Fcpu.png?alt=media&amp;token=1d249595-873f-469d-a207-e28d8eaf1ec6" alt=""><figcaption></figcaption></figure>

## CPU Environment Preset

### 1. Jupyter

A CPU-only container with Python 3.8, 2.7, and R kernels. In addition, we also provide environments for machine learning frameworks such as Python 3.8 version Pytorch and tensorflow2.

### 2. RStudio R 3.6

It provides a stable version of R, R3.6, and provides a variety of visualization and data processing packages, including ggplot2, and dplyr.

### 3. RStudio R 4.2

It provides the latest version of R, R 4.2, and offers a variety of visualization and data processing packages, including ggplot2, and dplyr.

### 4. \[Experimental] Jupyter RTC

A CPU-only environment preset with a Python 3.8 kernel. Collaborate with two or more users in real time, including real-time collaboration (RTC) capabilities in Jupyterlab. *<mark style="color:blue;">CAUTION: This is an experimental feature that may cause data changes, so be sure to back up your data when using this feature.</mark>*

### 5. MATLAB\_CPU

A CPU-only container containing MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. You can perform simple tasks using the CPU.

<figure><img src="https://4282080738-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrX4j7N0xGKjcONsYrDeS%2Fuploads%2F49cKSnRPzWEoaWpp1TWX%2Fimage.png?alt=media&amp;token=6caca7e2-66ba-4ed6-b460-fcd4d8eb82c7" alt=""><figcaption></figcaption></figure>

## GPU Environment Preset

### 1. Jupyter

An environment preset that includes Python 3.8. It provides machine learning frameworks like Pytorch and tensorflow2 and visualization tools like matplotlib. It also comes with pre-installed CUDA and CuDNN libraries that can use GPUs, making it ideal for professional research.

### 2. MATLAB\_GPU

An environment preset that includes MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. Toolboxes for GPU are used and deep learning is installed for professional work.