AWS Trainium2
Trn2 UltraServers and Project Rainier capacity, programmed through the Neuron SDK.
Full AWS Trainium2 record →Head to head
AWS Trainium2 (AWS) and Huawei Ascend 910C (Huawei) both sit in Chips & Compute. AWS Trainium2 shipped more tracked changes in the last 30 days (10 vs 4). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | AWS Trainium2 AWS | Huawei Ascend 910C Huawei |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | Trainium2 | Ascend 910C |
| Entry cost | Pricing not published on page (contact AWS or use AWS Pricing Calculator) | Pricing not published (enterprise/hardware product) |
| Pricing tiers | — | — |
| Model stack | AWS Trainium2 · Llama · Llama 3.1 · Llama 3.1 405B · Llama 3.3 · Llama 3.3 70B · Neuron compiler · Qwen3 · Stable Diffusion · Trainium2 | Ascend 910C · CANN / MindSpore |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 10 | 4 |
| Origin | Global | China |
| Capabilities | 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 | 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 UltraServers and Project Rainier capacity, programmed through the Neuron SDK.
Full AWS Trainium2 record →Domestic training and inference silicon with the CANN/MindSpore stack and CloudMatrix racks.
Full Huawei Ascend 910C record →