# Available GPU Models

The following GPU models are available:

<table><thead><tr><th width="256">Item</th><th>GPU Basic</th><th data-hidden></th></tr></thead><tbody><tr><td>GPU type</td><td>NVIDIA GeForce RTX 4090</td><td></td></tr><tr><td>GPU count</td><td>1</td><td></td></tr><tr><td>GPU memory</td><td>24 GiB</td><td></td></tr><tr><td>GPU compute power</td><td>82+ TFLOPS (FP32)</td><td></td></tr><tr><td>GPU CUDA cores</td><td>16,384</td><td></td></tr><tr><td>GPU memory bandwidth</td><td>8,064 Gbps</td><td></td></tr><tr><td>CPU size &#x26; type</td><td>z2a (z2a.std.8)</td><td></td></tr><tr><td>vCPU count</td><td>8 cores</td><td></td></tr><tr><td>CPU RAM</td><td>32 GiB</td><td></td></tr></tbody></table>

{% hint style="info" %} <mark style="color:blue;">**Note**</mark>

<mark style="color:blue;">GPU memory refers to the memory available on a GPU device used for temporary data storage. It is distinct from the CPU memory and is specifically used to manage the high bandwidth requirements of graphics-intensive workloads.</mark>
{% endhint %}


---

# 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://docs.console.zenlayer.com/welcome/gpu-cloud/available-gpu-models.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.