AI chip · Huawei
Huawei Ascend 910B
Huawei's flagship domestic AI training accelerator, positioned as the primary Chinese alternative to Nvidia H100 after US export controls. Uses HBM3, Da Vinci architecture. Widely deployed at Chinese hyperscalers and government cloud regions.
On the DEPLOY graph: 2 robots on record adopt this chip · 1 campus carry a cited inventory line for it · 1 reference-design cluster include it.
Market position
The Chinese ceiling under US export controls. Fabbed at SMIC N+2 (~7 nm equivalent), sold into ByteDance, Baidu, iFlytek, Tencent and the domestic hyperscalers. 8,192-chip Atlas 900 A3 SuperCluster is the pod-scale endpoint. Ascend 910C/910D are the follow-ons.
DEPLOY editorial. What the vendor PDF cannot tell you.
Physical-AI cross-link
Derived from claims already on record (vendor first-party TDP, throughput, price, and the reference-design cluster registry). The arithmetic is shown per row so it can be audited. No estimated inputs.
- Perf per watt
- 1.00 FP16 TFLOPS/W400 TFLOPS ÷ 400 W = 1.00
- Cooling class (across reference designs)
- waterObserved across 1 reference-design cluster containing this chip
What fits in 64 GB
Weights-only footprint for public open-weight LLMs. Pure arithmetic: params × bytes/param. Excludes KV cache and activation memory; add ~10-30% headroom for real serving. A model that does not fit at FP16 may still fit at INT8 or INT4 with quality trade-offs. Not a benchmark.
| Model | Params | FP16 | INT8 | INT4 |
|---|---|---|---|---|
| Llama 3.1 8B dense | 8 B | 16 GB ✓ | 8 GB ✓ | 4 GB ✓ |
| Llama 3.1 70B dense | 70 B | 140 GB ✗ | 70 GB ✗ | 35 GB ✓ |
| Llama 3.1 405B dense | 405 B | 810 GB ✗ | 405 GB ✗ | 203 GB ✗ |
| Llama 3.3 70B dense | 70 B | 140 GB ✗ | 70 GB ✗ | 35 GB ✓ |
| DeepSeek V3 MoE (671B total, 37B active per token) | 671 B | 1342 GB ✗ | 671 GB ✗ | 336 GB ✗ |
| DeepSeek R1 MoE (671B total, 37B active per token) | 671 B | 1342 GB ✗ | 671 GB ✗ | 336 GB ✗ |
| Qwen 2.5 7B dense | 7 B | 14 GB ✓ | 7 GB ✓ | 4 GB ✓ |
| Qwen 2.5 72B dense | 72 B | 144 GB ✗ | 72 GB ✗ | 36 GB ✓ |
| Mixtral 8x7B MoE (46.7B total, 12.9B active per token) | 46.7 B | 93 GB ✗ | 47 GB ✓ | 23 GB ✓ |
| Mixtral 8x22B MoE (141B total, 39B active per token) | 141 B | 282 GB ✗ | 141 GB ✗ | 71 GB ✗ |
| Gemma 2 27B dense | 27 B | 54 GB ✓ | 27 GB ✓ | 14 GB ✓ |
| Command R+ dense | 104 B | 208 GB ✗ | 104 GB ✗ | 52 GB ✓ |
| Kimi K2 MoE (1T total, 32B active per token) | 1000 B | 2000 GB ✗ | 1000 GB ✗ | 500 GB ✗ |
Math: FP16 = params × 2 bytes; INT8 = params × 1 byte; INT4 = params × 0.5 bytes. MoE models sum every expert (full weights on disk), not the per-token active subset.
Common questions
Answer-first, sourced. Every claim below traces to a specific field on this page or a cited datasheet. FAQPage schema is emitted so LLM crawlers can lift these verbatim.
How much does Huawei Ascend 910B cost?
Huawei Ascend 910B launch pricing is not on record in the DEPLOY registry. Vendor list prices are typically published in the vendor's own briefing rather than the datasheet.
How much memory does Huawei Ascend 910B have?
64 GB of HBM2e at 1,600 GB/s. Vendor datasheet, first-party.
How much power does one Huawei Ascend 910B draw?
400 W TDP (thermal design power) per chip. System-level draw is higher: see the reference-design section for rack-level kW.
What runs on Huawei Ascend 910B?
2 robot models on the DEPLOY registry adopt this chip, including AgiBot A2, AgiBot Yuanzheng A2. Full list below.
Which data centers have Huawei Ascend 910B?
1 campus on the DEPLOY registry carry a cited inventory line for this chip. Full list below with per-campus quantity hints where published.
Which open-weight LLMs fit on one Huawei Ascend 910B?
Of the 13 public open-weight LLMs DEPLOY tracks: 3 fit at FP16, 4 at INT8, 8 at INT4 (weights only, excludes KV cache). The full table is above with per-model math. Sparsity, offloading and multi-GPU serving change the picture; this row is single-chip weights-only.
Key facts
- Class
- Compute SoC (AI accelerator)
- Designer
- Huawei
- Safety-critical?
- No (data-center inference / training)
- Record as of
- 2026-08-25
- Latest cited claim
- 2024-06-01 (across 2 inventory + benchmark rows)
Specifications (9 fields, click to expand)
Vendor datasheet figures (first-party). Dense throughput first; sparse (2:4) in parentheses where NVIDIA quotes it. The exhaustive spec sheet lives on the datasheet URL below the table: this row set covers what buyers actually compare on.
- Process node
- SMIC N+2 (~7nm)
- TDP
- 400 W
- Memory
- 64 GB HBM2e
- Memory bandwidth
- 1,600 GB/s
- FP16 (dense)
- 400 TFLOPS
- INT8 (dense)
- 800 TOPS
- Form factor
- OAM (Atlas 300T A2)
- Announced
- 2023-08-01
- Released
- 2023-08-01
Source: vendor datasheet
Generation
Used in reference designs
The named rack-scale and pod-scale designs buyers actually order that contain this chip.
- ×8,192Huawei Atlas 900 A3 SuperCluster (Ascend 910B)supercluster
Compare with
Benchmarks
Published measurements per workload. Vendor datasheet numbers are first-party (verified posture); MLPerf / InferenceX / press results come in when their license terms + workload naming permit.
| Workload | Value | Unit | Source | As of |
|---|---|---|---|---|
| peak tflops fp16(Reported spec from Huawei product materials) | 320 | TFLOPS | vendor | 2023-08-01 |
Robot models running Huawei Ascend 910B
Every model on the DEPLOY registry with a public chip-integration claim for Huawei Ascend 910B. Ranked by verified deployment count.
| Model | Maker | Form factor | Role | Source | Deployments |
|---|---|---|---|---|---|
| AgiBot A2 | AgiBot | humanoid | onboard humanoid compute (China stack) | inferred | 3 |
| AgiBot Yuanzheng A2 | AgiBot | humanoid | onboard humanoid compute (China stack) | inferred | 1 |
Data centers stocking Huawei Ascend 910B
Who has the most? →Every campus on the DEPLOY registry with a public claim of Huawei Ascend 910B on site. Quantity hints are unstructured because underlying disclosures vary by order of magnitude.
- Envision Galaxy Campusas of 2024-06-01partially energizedinferred
Huawei Ascend AI capacity at the 1.5 GW Envision Ulanqab wind-fed AI factory
Chinese AI campuses under export controls default to Huawei Ascend + domestic silicon.
Sources
- Huawei Atlas 900 A3 (Ascend 910B-based)Huawei
- Huawei AscendWikipedia
Adoption rows appear as we verify chip-integration claims per model. Every row is a public claim the maker or a tier-1 source has stated; verification tier (verified / reported / inferred) is shown per row. See every chip on record for the full catalog or the Huawei record.