Frequently asked questions
What is GS1-N2 AI Gateway Server / NVR – 32-Channel 1080P H.265 used for?
GS1-N2 AI Gateway Server / NVR – 32-Channel 1080P H.265 is a AI Server / Cluster from Firefly. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.
Does GS1-N2 AI Gateway Server / NVR – 32-Channel 1080P H.265 include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item as an authorized distributor and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.
Can I order GS1-N2 AI Gateway Server / NVR – 32-Channel 1080P H.265 with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.
How is GS1-N2 AI Gateway Server / NVR – 32-Channel 1080P H.265 shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.
Specifications
| Product Datasheet | Click Here |
| Dual-core Board Modular Architecture | It adopts a dual-core heterogeneous architecture, with one core responsible for video recording and the other for AI processing, supporting real-time inference of AI models. The two core modules work independently. |
| Built-in SAS/SATA Hard Drive Bays | It features two 3.5-inch/2.5-inch SAS/SATA drive bays, supporting SATA 3.0 HDD/SSD or PCIe NVMe SSD expansion, allowing the device to be easily expanded to terabyte-level capacity. |
| Supports Custom Event Detection | Supports custom event detection, such as motion detection, area intrusion detection, boundary crossing detection, object recognition, video occlusion detection, etc., and automatically alarms when an anomaly is detected. |

