Domestic · Self-reliant

Ascend 910C

Huawei's full-stack AI chip with 640 TFLOPS FP16 and 64GB HBM — the primary domestic choice for large-model training and inference.

Why Ascend

A self-reliant compute base

A complete domestic chain from silicon to software stack.

🔷

Full-stack native

Chip, board and CANN/MindSpore all native.

📜

Compliance-ready

Meets trustworthy-computing and industry compliance.

🤝

Mature ecosystem

MindSpore and mainstream framework support growing.

💰

Cost-friendly

Domestic supply improves total cost of ownership.

Specs

Ascend 910C key specs

Domestic

Compute

FP16 / INT8
FP16640 TFLOPS
VRAM64GB HBM
Precisionmulti
Train and infer.
Stack

Software

CANN / MindSpore
Opsrich
FrameworkMindSpore/adapted
Toolsend-to-end
Smooth dev & deploy.
Compliance

Deployment

In-region
Residencyyes
Certtrustworthy
Sectorsgov/finance
Compliance-first.

Build self-reliant AI on domestic compute

Ascend 910C delivers training and inference without overseas supply dependence.

FAQ

FAQ

Which scenarios suit Ascend 910C?

Training, inference and industry deployment with high sovereignty and compliance needs.

Can it run PyTorch models?

Yes via adaptation layers; migration cost is low.

Can it coexist with NVIDIA?

GigaX supports heterogeneous scheduling across Ascend and NVIDIA.

Private deployment?

Yes, in-region and designated-region private deployment.

Land self-reliant AI on Ascend 910C

Share compliance and workload needs for a domestic compute plan.