Huawei Ascend 910C
Domestic training and inference silicon with the CANN/MindSpore stack and CloudMatrix racks.
Full Huawei Ascend 910C record →Head to head
Huawei Ascend 910C vs AWS Trainium2
Huawei Ascend 910C (Huawei) and AWS Trainium2 (AWS) both sit in Chips & Compute. AWS Trainium2 shipped more tracked changes in the last 30 days (7 vs 3). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Huawei Ascend 910C Huawei | AWS Trainium2 AWS |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | Ascend 910C | Trainium2 |
| Entry cost | Pricing is not publicly available; enterprise/quote-based pricing. | Pricing is not published on the page. Available via EC2 instances/UltraServers. |
| Pricing tiers | — | — |
| Model stack | Ascend 910C · CANN / MindSpore | AWS Trainium2 · Llama · Llama 3.1 · Llama 3.1 405B · Llama 3.3 · Llama 3.3 70B · Neuron compiler · Qwen3 · Stable Diffusion · Trainium2 |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 3 | 7 |
| Origin | China | Global |
| Capabilities | dual-die 910C, CloudMatrix 384 racks, CANN toolkit, MindSpore, CANN 异构计算架构, MindSpore AI框架, MindStudio 全流程工具链, NPU | Trn2 UltraServer, 64-chip NeuronLink domain, Neuron SDK, Rainier cluster, Generative AI training, Generative AI inference, Up to 20.8 FP8 petaflops, 1.5 TB HBM3 memory |
AWS Trainium2
Trn2 UltraServers and Project Rainier capacity, programmed through the Neuron SDK.
Full AWS Trainium2 record →