Huawei Ascend 510
Product Overview
Huawei Ascend 510 is an AI chip in Huawei's Ascend series for edge computing and on-device inference, positioned as the edge-inference workhorse above the Ascend 310P. According to public selection data, INT8 compute is ~256 TOPS, with FP16/INT8 mixed-precision support and optimizations for LLM and Transformer inference; it is one of the mainstay models of domestic edge AI boxes (30TOPS+ models).
Strategic position: In the edge computing box market contested by Rockchip, Ascend, and AMD, the Ascend 510 covers high-density edge deployments with 256 TOPS INT8, and with the CANN + MindSpore ecosystem it is the first choice for self-reliant edge inference.
Core Specifications
| Parameter | Value |
|---|---|
| Architecture | Da Vinci |
| Process | Not disclosed |
| INT8 Compute | 256 TOPS |
| FP16 Compute | Not disclosed |
| Memory | Not disclosed (varies by board configuration) |
| Memory Type | Not disclosed |
| TDP | 25-70 W (varies by board; requires decent cooling) |
| Release | 2024 (edge inference workhorse) |
Key Features
- 256 TOPS INT8 compute: covers high-density deployment of 30TOPS+ edge models
- LLM inference optimized: Transformer-friendly
- CANN + MindSpore ecosystem: domestic self-reliance
- TaiShan multi-core CPU: strong general-purpose computing
Vendor Information
| Parameter | Value |
|---|---|
| Company | Huawei Technologies Co., Ltd. (HiSilicon) |
| Website | https://www.hiascend.com |
| Release | 2024 |
| Architecture | Da Vinci |
Use Cases
- ✅ Edge AI boxes
- ✅ LLM edge inference
- ✅ Smart video analytics
- ✅ Domestic edge deployment
Related Comparisons
- Huawei Ascend 310P - Ascend edge inference
- Huawei Ascend 710 - Ascend edge inference
- Huawei Ascend 910B - Data center training