# Program for reducing CO

### About our philosophy

We are very fond of nature. And its living diversity. And We are believe that when we create applications or services, it is high time for everyone to think about green IT - because today, almost all of our energy consumption comes from our sphere.

<figure><img src="https://485315315-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fgh6xYMrONSm9LI3ssd0x%2Fuploads%2FK38GH8Nsf2GXkuTjftZE%2Fimage.png?alt=media&#x26;token=28bf290e-8acb-4bb4-995e-9667a49d0168" alt=""><figcaption></figcaption></figure>

Of course, you might think that since you are not a corporation, it probably doesn't affect you, but if everyone manages resources properly, we will achieve more in an eco-friendly way.

**The simplest thing we can do:**

* Use a scalable architecture;
* Use green providers;
* Use containers and horizontally scalable resources depending on load;
* Write efficient code that gives less CPU / RAM / GPU load, optimize, cache data;

By adhering to these rules you not only reduce the load on the ecology, but also provide users with a smoother and more fault tolerant experience.

***

### What we Do?

<table data-view="cards"><thead><tr><th></th><th></th></tr></thead><tbody><tr><td><strong>Scalable architecture</strong></td><td>We use only the resources we actually need in our work, trying to minimize computations by a margin</td></tr><tr><td><strong>Green Providers</strong></td><td>We only use providers who are just as concerned about reducing emissions to deploy our products</td></tr><tr><td><strong>Writes and efficient code</strong></td><td>We try to optimize algorithms and approaches where computation has a significant contribution to pollution</td></tr></tbody></table>

***

**All our products and infrastructures are always up-to-date and operate in accordance with our philosophy of caring for the environment.**

Anything to share from your experience? [Write to us](mailto:start@ncommx.com)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://neurosell.gitbook.io/help-center/about-neurosell/program-for-reducing-co.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.