Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Huawei Ascend 310B AI SoC |
| Architecture | Da Vinci Architecture |
| Memory | 8GB LPDDR4 |
| Storage | 64GB eMMC + MicroSD Slot |
| AI Computing Power | 22 TOPS INT8 |
| Interfaces | 2x Gigabit Ethernet, USB 3.0, HDMI, MIPI CSI |
| Operating System | openEuler / Ubuntu compatible |
| Power Supply | 12V DC Input |
| Form Factor | Industrial Standard Board |
| Application Scenario | Edge Inference, Smart Vision, IoT Gateway |
Anonymous
Mar 31, 2026
Rating: 4/5
Impressive local processing
Replaced our cloud-dependent prototype with this edge board and saw a significant reduction in latency. The only minor issue was the initial driver installation on our custom Linux build, but support helped resolve it quickly.
Anonymous
Mar 24, 2026
Rating: 5/5
Solid choice for industrial projects
We deployed these boards in a pilot smart factory project. They handled multiple video streams simultaneously with low latency. The domestic supply chain aspect was also a key factor for our procurement team.
Anonymous
Mar 22, 2026
Rating: 4/5
Good value for developers
As a student researching edge computing, this board offered the best specs for the budget. The community support is growing, though sometimes I had to rely on official docs more than forums. Highly recommended for academic use.
Anonymous
Mar 21, 2026
Rating: 4/5
Great hardware, steep learning curve
The board itself is robust and well-built. However, if you are new to the CANN software stack, expect to spend some time reading the manuals. Once configured, the inference speed is remarkable for this price point.
Anonymous
Mar 16, 2026
Rating: 5/5
Excellent for Edge AI Prototyping
This kit is perfect for developing edge inference applications. The Ascend 310B chip delivers impressive performance for computer vision tasks without excessive power consumption. Documentation was clear and setup was straightforward.
Anonymous
Mar 16, 2026
Rating: 5/5
Reliable and powerful
Been running a continuous object detection model for three weeks straight with zero crashes. Thermal management is efficient even under full load. The official kit includes everything needed to get started immediately.
Q: Is the operating system pre-installed on the eMMC?
A: Yes, the official kit comes with a pre-installed version of openEuler optimized for the Ascend 310B, including necessary drivers and basic development tools.
Q: What are the dimensions of the board for enclosure design?
A: The board measures approximately 100mm x 80mm. Detailed mechanical drawings and CAD files are available in the 'Hardware Reference' section of the product documentation page.
Q: What is the maximum resolution supported for camera input via MIPI CSI?
A: The interface supports up to 4K resolution at 30fps or 1080p at 60fps, depending on the specific sensor module used and the bandwidth configuration.
Q: Can this board be used for model training or only inference?
A: The Ascend 310 series is primarily designed for AI inference. For heavy-duty model training, we recommend using the Ascend 910 series or cloud-based training clusters, then deploying the trained model to this board.
Q: Does this board support TensorFlow or PyTorch models directly?
A: The board uses the Huawei CANN (Compute Architecture for Neural Networks) software stack. You typically convert models from TensorFlow or PyTorch to the OM (Offline Model) format using the ATC tool before deployment.
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