Huawei · Ascend · Layer 2
Huawei Ascend 910C
Buyers inside China, where export controls make the NVIDIA question moot.
restricted Export controls or regional restrictions govern access.
Specifications
- Memory
- Not reliably published outside China
- Bandwidth
- Not reliably published
- Compute
- Positioned against H100-class parts
- Power
- Not published
- Interconnect
- HCCS
- Software
- CANN, MindSpore
- Form factor
- accelerator
- Workload
- both
Verified 2026-09-09. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.
The catch
Export controls cut both ways: availability outside China is effectively nil, and independent Western benchmarks are scarce enough that every published figure should be treated as a vendor claim.
The economics
Not a price comparison. It is a jurisdiction decision.
Cost per million tokens is the metric that decides most real purchases, and there is no neutral benchmark for it — every published figure comes from a company selling one side of the comparison. Read all of them, ours included, as claims rather than measurements.
The power question underneath this
A rack of frontier accelerators draws 120–200 kW against a 2026 average of about 27 kW, and the US grid interconnection queue exceeds 2,600 GW with waits approaching five years. Whether you can energise this part is now a harder question than whether you can buy it.
Layer 1 — Energy · The interconnection queue · Rack power density · Tokens per watt
Where you actually rent this
Choosing the part is the easy half. The same accelerator rents for wildly different money depending only on who you rent it from — the cheapest and dearest published on-demand price for an H100 sit 5.6× apart — and the provider, not the chip, is what decides whether you can leave later.
Compared against
- Huawei Ascend 910C vs NVIDIA H100 — A jurisdiction comparison, not a performance one.Compare with NVIDIA H100
Related silicon
- AMD Helios (Instinct MI455X) — 31 TB of HBM4 per rack across 72 MI455X GPUs; 432 GB of HBM4 per GPU., rent
- AMD Instinct MI300X — 192 GB HBM3, rent
- AMD Instinct MI350X — 288 GB HBM3E, rent
- AMD Instinct MI355X — 288 GB HBM3E, rent
- AWS Trainium 2 — Not published in directly comparable terms, cloud only
- AWS Trainium 3 — 144 GB HBM3e per chip, cloud only
Want this whole layer as one table?
The accelerators on these pages as a single CSV — memory, bandwidth, compute, power, interconnect, software stack, availability, who each part is for and the catch — ready to sort, filter or load into a notebook.
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