> For the complete documentation index, see [llms.txt](https://docs.qpoint.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qpoint.io/getting-started/qscan/system-requirements.md).

# System Requirements

QScan is available in two variants: CPU-only and GPU-accelerated. Choose based on your throughput requirements and infrastructure.

## CPU Variant

| Resource | Minimum | Recommended |
| -------- | ------- | ----------- |
| vCPUs    | 2       | 6           |
| Memory   | 12 GB   | 24 GB       |
| Disk     | 10 GB   | 20 GB       |

The ML models consume approximately 8.4 GB of memory at runtime. The recommended configuration supports running 2 pollers and 2 scanners concurrently.

## GPU Variant

| Resource | Minimum                     | Recommended            |
| -------- | --------------------------- | ---------------------- |
| vCPUs    | 4                           | 4                      |
| Memory   | 16 GB                       | 16 GB                  |
| GPU      | 1x NVIDIA (CUDA-compatible) | 1x NVIDIA L4 or better |
| Disk     | 10 GB                       | 20 GB                  |

GPU acceleration significantly improves inference throughput. Any CUDA-compatible NVIDIA GPU with sufficient VRAM is supported.

## Network Requirements

**Outbound connectivity (required):**

* **Pulse API**: `api-pulse.qpoint.io` (TCP 443/HTTPS)
* **S3 storage**: Your configured S3 endpoint (e.g., `s3.amazonaws.com`, a MinIO instance, or `s3.warehouse.qpoint.io` for Qpoint-managed storage)

{% hint style="info" %}
**No inbound connections required.** QScan only makes outbound connections to poll for jobs and retrieve artifacts. No ports need to be opened for inbound traffic.
{% endhint %}

## Container Runtime

QScan is distributed as a container image and requires one of the following:

* Docker Engine 20.10+
* Kubernetes 1.24+
* Google Cloud Run
* Any OCI-compatible container runtime

## Image Registry

The QScan container image is hosted at:

```
us-docker.pkg.dev/qpoint-edge/public/qscan
```