Huawei chairman Eric Xu says domestic demand exceeds accelerator production capacity and rules out a full international expansion, limiting overseas access to Ascend hardware to selected markets.

state: resolvedheat: lowuncertainty: lownovelscott: lowai-infrastructure accelerator-supply huaweiHuaweiEric Xu

What is this?

Huawei is building its Ascend AI computing hardware business, but rotating chairman Eric Xu reportedly told reporters at Huawei Connect in Shanghai that production cannot satisfy Chinese demand, so the company has no plans for full-scale international expansion. Global Business Outlook quotes Xu saying Huawei still supplies limited volumes to countries with particularly strong demand; TechRepublic also reports the capacity constraint and expansion limit. The supplied Reuters snippet covers Huawei’s upcoming chips and computing systems but does not include Xu’s quoted remarks, and the snippets neither identify the overseas markets nor establish that a previously planned global rollout was cancelled. They also do not support the headline’s conclusion that AMD and Nvidia no longer need to worry.

Why it matters to Scott

No meaningful intersection with Scott’s documented positions or build decisions is established: the hits show CUDA-based local inference and a cloud-GPU evaluation, not Ascend adoption or procurement plans. The reported overseas supply limit adds hardware-availability context to the radar’s DeepJIT CUDA/Ascend runtime case, but no supplied radar page already tracks Xu’s announcement.

radar:deepseek-deepjit-runtimeradar:concept.ai-hardware

queries asked of Scott's wikis

compute sovereignty domestic accelerator supply constraints
non-Nvidia hardware access infrastructure procurement
local inference economics accelerator scarcity
AI hardware software ecosystem portability lock-in
export controls regional AI infrastructure fragmentation

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

09-16 14:00	⭐ origin echo-reconstructed	Reuters’ original report says Huawei cannot meet Chinese demand and is limiting overseas sales. Eric Xu told reporters: “Since we don't have Che Pan, Casey Hall, and Eduardo Baptista (Reuters) on other (echo) · attributed from reddit.post.1wmm89l	—
09-21 19:09	first on r/LocalLLaMA · published · +125.2h	Huawei shelves global AI chip rollout as China's own demand outstrips supply — AMD and Nvidia no longer have to worry. fallingdowndizzyvr	—
09-21 19:09	amplified on r/LocalLLaMA 👑	reddit.post.1wmm89l fallingdowndizzyvr	peak 358 · 67 comments · 100% of case engagement
09-21 19:20	our radar first saw it · +125.3h	discovery anchor: reddit.post.1wmm89l	—

Evidence (2) — ⭐ canonical anchor

source	object	author	score	comments
🟠 reddit	Huawei shelves global AI chip rollout as China's own demand outstrips supply — AMD and Nvidia no longer have to worry. LocalLLaMA Retrieved article excerpt Open article · Retrieved 2026-09-21T19:22:52.553280+00:00 # Huawei shelves global AI chip rollout as China's own demand outstrips supply — 15,488-chip Atlas clusters leverage optical networking to counter Nvidia, scales to 120 EFLOPS [News](https://www.tomshardware.com/news) By [Anton Shilov](https://www.tomshardware.com/author/anton-shilov) Published 21 September 2026 AMD and Nvidia no longer have to worry. When you purchase through links on our site, we may earn an affiliate commission. [Here’s how it works](https://www.tomshardware.com/reviews/about-us,4260.html#section-affiliate-advertising-disclosure). Huawei Ascend AI chip (Image credit: Huawei) - Copy link - [Facebook](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.tomshardware.com%2Ftech-industry%2Fartificial-intelligence%2Fhuawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops) - [X](https://twitter.com/intent/tweet?text=Huawei+shelves+global+AI+chip+rollout+as+China%27s+own+demand+outstrips+supply+%E2%80%94+15%2C488-chip+Atlas+clusters+leverage+optical+networking+to+counter+Nvidia%2C+scales+to+120+EFLOPS&url=https%3A%2F%2Fwww.tomshardware.com%2Ftech-industry%2Fartificial-intelligence%2Fhuawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops) - Whatsapp - [Reddit](https://www.reddit.com/submit?url=https%3A%2F%2Fwww.tomshardware.com%2Ftech-industry%2Fartificial-intelligence%2Fhuawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops&title=Huawei+shelves+global+AI+chip+rollout+as+China%27s+own+demand+outstrips+supply+%E2%80%94+15%2C488-chip+Atlas+clusters+leverage+optical+networking+to+counter+Nvidia%2C+scales+to+120+EFLOPS) - [Pinterest](https://pinterest.com/pin/create/button/?url=https%3A%2F%2Fwww.tomshardware.com%2Ftech-industry%2Fartificial-intelligence%2Fhuawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops&media=https%3A%2F%2Fcdn.mos.cms.futurecdn.net%2FANu9aBzADbe49opeKu4gnP.jpg) - [Flipboard](https://share.flipboard.com/bookmarklet/popout?title=Huawei+shelves+global+AI+chip+rollout+as+China%27s+own+demand+outstrips+supply+%E2%80%94+15%2C488-chip+Atlas+clusters+leverage+optical+networking+to+counter+Nvidia%2C+scales+to+120+EFLOPS&url=https%3A%2F%2Fwww.tomshardware.com%2Ftech-industry%2Fartificial-intelligence%2Fhuawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops) - Email Share this article [0](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops#xenforo-comments-3900649) Join the conversation [Follow us](https://google.com/preferences/source?q=tomshardware.com) Add us as a preferred source on Google Newsletter Subscribe to our newsletter Huawei's impressive next-generation Ascend 900-series AI accelerators will be offered only in China, not internationally, as the company struggles to meet domestic demand amid capacity constraints, the company announced this week. While the upcoming Ascend 960-series neural processing units (NPUs) could rival some of AMD's and Nvidia's existing AI GPUs, demand for these units outside of China was not guaranteed anyway. Go deeper with TH Premium: AI shortages Nvidia (Image credit: Nvidia) - [AI data centers are swallowing the world's memory and storage supply](https://www.tomshardware.com/pc-components/storage/perfect-storm-of-demand-and-supply-driving-up-storage-costs?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage) - [Demand for data center CPUs has surged, and AI agents are responsible](https://www.tomshardware.com/pc-components/cpus/demand-for-data-center-cpus-has-surged-and-ai-agents-are-responsible-why-the-cpu-to-gpu-ratio-is-more-important-than-ever-for-hyperscalers?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage) - [Chip scarcity assaults auto industry amid the worsening Nexperia and DRAM crisis](https://www.tomshardware.com/tech-industry/chip-scarcity-assaults-auto-industry-amid-the-worsening-nexperia-and-dram-crisis?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage) - [The custom AI ASIC state of play](https://www.tomshardware.com/tech-industry/semiconductors/custom-ai-asics-examined-from-broadcom-to-mtia?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage) "Since we do not have enough capacity to even satisfy the demand in China, we do not have a plan to expand into the international market in a fully-fledged way," said Eric Xu, rotating chairman of Huawei, on the sidelines of the company's Huawei Connect conference, [Reuters](https://www.reuters.com/world/asia-pacific/chinas-huawei-launch-two-new-ai-chips-2027-2026-09-17/) reports. He added that Huawei supplies limited volumes to 'some countries where demand is particularly strong,' though he did not elaborate. Huawei this week [unveiled its latest AI accelerator roadmap,](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-details-ai-accelerator-roadmap-pulls-in-next-generation-ascend-npus-by-quarters-fp4-performance-of-the-ascend-960pr-doubles-expectations) revealing major training and inference performance gains for its next-generation Ascend 960, 970, and 980 NPUs over the existing Ascend 910C and Ascend 950-series. The Ascend 960DT and 960PR are set to increase their FP8 training performance to 2 PFLOPS and their FP4 inference performance to 4 PFLOPS and 8 PFLOPS, respectively, in 2027. Meanwhile, their successors, Ascend 970 and Ascend 980, are projected to increase their FP4 performance to 14 PFLOPS and 28 PFLOPS, respectively, in the coming years. Latest Videos FromTom's Hardware [Watch full video here:](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops) ## Huawei Ascend vs Nvidia AI GPUs Swipe to scroll horizontally \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| NPU \| FP8 Performance \| FP4 Perf \| Memory \| Memory Bandwidth \| Interconnect Bandwidth \| Targeted Release \| \| Nvidia H200 \| 4 PFLOPS \| - \| 141 GB HBM3E \| 4.8 TB/s \| 900 GB/s \| 2023 Q4 \| \| Nvidia B300 \| 10 PFLOPS \| 15/20 S/D PFLOPS \| 279 GB HBM3E \| 8 TB/s \| 1.8 TB/s \| 2025 Q4 \| \| Ascend 950PR \| 1 PFLOPS \| 2 PFLOPS \| 128 GB of HiBL 1.0 \| 1.6 TB/s \| 2 TB/s \| 2026 Q1 \| \| Ascend 950DT \| 1 PFLOPS \| 2 PFLOPS \| 144 GB of HiZQ 2.0 \| 4.0 TB/s \| 2 TB/s \| 2026 Q4 \| \| Nvidia R200 \| 17.5 PFLOPS \| 35/50 T/I PFLOPS \| 288 GB HBM4 \| 19.2 TB/s \| 3 TB/s \| 2026 Q4 \| \| Ascend 960DT \| 2 PFLOPS \| 4 PFLOPS \| 288 GB \| 9.6 TB/s \| 2.2 TB/s \| 2027 Q1 \| \| Ascend 960PR \| 2 PFLOPS \| 8 PFLOPS \| 192 GB \| 2.4 TB/s \| 2.2 TB/s \| 2027 Q3 \| \| Ascend 970 \| 3.6 PFLOPS \| 14 PFLOPS \| 288 GB \| 14.4 TB/s \| 4.4 TB/s \| 2028 \| \| Ascend 980 \| 7.2 PFLOPS\* \| 28 PFLOPS\* \| 384 GB \| 38.4 TB/s\* \| 8 TB/s \| 2029 \| \Preliminary data S/D - Sparse and Dense T/I - Training and Inference But while the upcoming Ascend NPUs will be considerably faster than their predecessors, particularly for inference, they will remain well behind Nvidia's previous- and current-generation accelerators, at least in raw compute performance. Huawei's 2027 Ascend 960DT is projected to deliver 2 FP8 TFLOPS for training, compared with Nvidia's 4 FP8 TFLOPS for the [H200](https://www.tomshardware.com/news/nvidia-h200-gpu-announced), released in 2023. The Ascend 960PR is expected to offer 8 FP4 PFLOPS for training, which is far behind Nvidia's [B300](https://www.tomshardware.com/pc-components/gpus/nvidia-announces-blackwell-ultra-b300-1-5x-faster-than-b200-with-288gb-hbm3e-and-15-pflops-dense-fp4), which delivers 15–20 NVFP4 PFLOPS. Even the Ascend 980, targeted for 2029, is projected to reach 7.2 FP8 PFLOPS and 28 FP4 PFLOPS, well below Nvidia's R200, which is on track to deliver 17.5 FP8 PFLOPS and 35/50 FP4 PFLOPS this year. You may like - [Huawei China’s Huawei to enter South Korean AI chip market with new Atlas SuperPods, clusters pack 8,192 Ascend 950 accelerators per deployment](https://www.tomshardware.com/tech-industry/semiconductors/chinas-huawei-to-enter-south-korean-ai-chip-market-with-new-atlas-superpods-clusters-pack-8-192-ascend-950-accelerators-per-deployment-reportedly-challenges-nvidia-dominance-with-tripled-inference-performance-of-h20-at-one-quarter-the-cost) - [Huawei Ascend AI chip China's homegrown AI accelerators to supply 90% of the country's domestic market, analysts suggest](https://www.tomshardware.com/tech-industry/artificial-intelligence/chinas-homegrown-ai-accelerators-to-supply-90-percent-of-the-countrys-domestic-market-analysts-suggest-cambricon-and-huawei-expected-to-be-the-biggest-winners-in-the-shift-away-from-nvidia-and-amd) - [Huawei Ascend Huawei details AI accelerator roadmap, pulls in next-generation Ascend NPUs by several quarters](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-details-ai-accelerator-roadmap-pulls-in-next-generation-ascend-npus-by-quarters-fp4-performance-of-the-ascend-960pr-doubles-expectations) Such a massive performance difference with leading AI hardware will reinforce Huawei's reliance on massive system-level scaling rather than chip-for-chip performance to compete with Nvidia. But massive system-level scaling comes with massive power consumption, which will make Huawei's next-generation Atlas SuperPoDs and SuperClusters considerably less competitive in markets that can access hardware from AMD or Nvidia. Huawei is in an interesting paradoxical situation. On the one hand, its integration efforts like near-package optics (NPO) clearly free up capacity on 'older' nodes that can be used for other components of AI platforms. But on the other hand, SMIC's inability to ramp production on 7nm and 6nm-class nodes limits Huawei's ability to supply its AI hardware anyway, which is why it can barely meet demand. Stay On the Cutting Edge: Get the Tom's Hardware Newsletter Get Tom's Hardware's best news and in-depth reviews, straight to your inbox. Then again, while Huawei's [Atlas SuperPoDs](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-unveils-atlas-950-supercluster-touting-1-fp4-zettaflops-performance-for-ai-inference-and-524-fp8-exaflops-for-ai-training-features-hundreds-of-thousands-of-950dt-apus) with up to 15,488 Ascend 960 NPUs can deliver up to 30 FP8 EFLOPS and 120 FP4 EFLOPS performance by far exceeding the capabilities of Nvidia's NVL72 clusters with a 72-GPU scale-up world size, their performance-per-watt is poised to be dramatically lower compared to Nvidia's architectures, which means that demand for such hardware outside of China will be limited at best. That said, a global AI hardware push doesn't make much sense for Huawei right now. What perhaps does make sense is offering cloud access to its hardware to various academic and research customers to popularize its CANN software stack. [Google Preferred Source](https://news.google.com/publications/CAAqLAgKIiZDQklTRmdnTWFoSUtFSFJ2YlhOb1lYSmtkMkZ5WlM1amIyMG9BQVAB) Follow* [Tom's Hardware on Google News](https://news.google.com/publications/CAAqLAgKIiZDQklTRmdnTWFoSUtFSFJ2YlhOb1lYSmtkMkZ5WlM1amIyMG9BQVAB), or [add us as a preferred source](https://google.com/preferences/source?q=), to get our latest news, analysis, & reviews in your feeds. TOPICS [See all comments (0)](https://www.tomshardware.com/	fallingdowndizzyvr	369	71
🟧 echo.other ⭐	Reuters’ original report says Huawei cannot meet Chinese demand and is limiting overseas sales. Eric Xu told reporters: “Since we don't have	Che Pan, Casey Hall, and Eduardo Baptista (Reuters)	—	—

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🟠 reddit

Huawei shelves global AI chip rollout as China's own demand outstrips supply — AMD and Nvidia no longer have to worry.

LocalLLaMA

Retrieved article excerpt

Open article · Retrieved 2026-09-21T19:22:52.553280+00:00

# Huawei shelves global AI chip rollout as China's own demand outstrips supply — 15,488-chip Atlas clusters leverage optical networking to counter Nvidia, scales to 120 EFLOPS

[News](https://www.tomshardware.com/news)

By
[Anton Shilov](https://www.tomshardware.com/author/anton-shilov) 


Published
21 September 2026

AMD and Nvidia no longer have to worry.

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Huawei's impressive next-generation Ascend 900-series AI accelerators will be offered only in China, not internationally, as the company struggles to meet domestic demand amid capacity constraints, the company announced this week. While the upcoming Ascend 960-series neural processing units (NPUs) could rival some of AMD's and Nvidia's existing AI GPUs, demand for these units outside of China was not guaranteed anyway.

Go deeper with TH Premium: AI shortages

Nvidia

(Image credit: Nvidia)

- [AI data centers are swallowing the world's memory and storage supply](https://www.tomshardware.com/pc-components/storage/perfect-storm-of-demand-and-supply-driving-up-storage-costs?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage)
- [Demand for data center CPUs has surged, and AI agents are responsible](https://www.tomshardware.com/pc-components/cpus/demand-for-data-center-cpus-has-surged-and-ai-agents-are-responsible-why-the-cpu-to-gpu-ratio-is-more-important-than-ever-for-hyperscalers?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage)
- [Chip scarcity assaults auto industry amid the worsening Nexperia and DRAM crisis](https://www.tomshardware.com/tech-industry/chip-scarcity-assaults-auto-industry-amid-the-worsening-nexperia-and-dram-crisis?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage)
- [The custom AI ASIC state of play](https://www.tomshardware.com/tech-industry/semiconductors/custom-ai-asics-examined-from-broadcom-to-mtia?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage)

"Since we do not have enough capacity to even satisfy the demand in China, we do not have a plan to expand into the international market in a fully-fledged way," said Eric Xu, rotating chairman of Huawei, on the sidelines of the company's Huawei Connect conference, [Reuters](https://www.reuters.com/world/asia-pacific/chinas-huawei-launch-two-new-ai-chips-2027-2026-09-17/) reports. He added that Huawei supplies limited volumes to 'some countries where demand is particularly strong,' though he did not elaborate.

Huawei this week [unveiled its latest AI accelerator roadmap,](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-details-ai-accelerator-roadmap-pulls-in-next-generation-ascend-npus-by-quarters-fp4-performance-of-the-ascend-960pr-doubles-expectations) revealing major training and inference performance gains for its next-generation Ascend 960, 970, and 980 NPUs over the existing Ascend 910C and Ascend 950-series. The Ascend 960DT and 960PR are set to increase their FP8 training performance to 2 PFLOPS and their FP4 inference performance to 4 PFLOPS and 8 PFLOPS, respectively, in 2027. Meanwhile, their successors, Ascend 970 and Ascend 980, are projected to increase their FP4 performance to 14 PFLOPS and 28 PFLOPS, respectively, in the coming years.

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[Watch full video here:](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-shelves-global-ai-chip-rollout-as-chinas-own-demand-outstrips-supply-15-488-chip-atlas-clusters-leverage-optical-networking-to-counter-nvidia-scales-to-120-eflops)

## Huawei Ascend vs Nvidia AI GPUs

Swipe to scroll horizontally

|  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- |
| **NPU** | **FP8 Performance** | **FP4 Perf** | **Memory** | **Memory Bandwidth** | **Interconnect Bandwidth** | **Targeted Release** |
| Nvidia H200 | 4 PFLOPS | - | 141 GB HBM3E | 4.8 TB/s | 900 GB/s | 2023 Q4 |
| Nvidia B300 | 10 PFLOPS | 15/20 S/D PFLOPS | 279 GB HBM3E | 8 TB/s | 1.8 TB/s | 2025 Q4 |
| Ascend 950PR | 1 PFLOPS | 2 PFLOPS | 128 GB of HiBL 1.0 | 1.6 TB/s | 2 TB/s | 2026 Q1 |
| Ascend 950DT | 1 PFLOPS | 2 PFLOPS | 144 GB of HiZQ 2.0 | 4.0 TB/s | 2 TB/s | 2026 Q4 |
| Nvidia R200 | 17.5 PFLOPS | 35/50 T/I PFLOPS | 288 GB HBM4 | 19.2 TB/s | 3 TB/s | 2026 Q4 |
| Ascend 960DT | 2 PFLOPS | 4 PFLOPS | 288 GB | 9.6 TB/s | 2.2 TB/s | 2027 Q1 |
| Ascend 960PR | 2 PFLOPS | 8 PFLOPS | 192 GB | 2.4 TB/s | 2.2 TB/s | 2027 Q3 |
| Ascend 970 | 3.6 PFLOPS | 14 PFLOPS | 288 GB | 14.4 TB/s | 4.4 TB/s | 2028 |
| Ascend 980 | 7.2 PFLOPS\* | 28 PFLOPS\* | 384 GB | 38.4 TB/s\* | 8 TB/s | 2029 |

\*Preliminary data  
S/D - Sparse and Dense  
T/I - Training and Inference

But while the upcoming Ascend NPUs will be considerably faster than their predecessors, particularly for inference, they will remain well behind Nvidia's previous- and current-generation accelerators, at least in raw compute performance. Huawei's 2027 Ascend 960DT is projected to deliver 2 FP8 TFLOPS for training, compared with Nvidia's 4 FP8 TFLOPS for the [H200](https://www.tomshardware.com/news/nvidia-h200-gpu-announced), released in 2023. The Ascend 960PR is expected to offer 8 FP4 PFLOPS for training, which is far behind Nvidia's [B300](https://www.tomshardware.com/pc-components/gpus/nvidia-announces-blackwell-ultra-b300-1-5x-faster-than-b200-with-288gb-hbm3e-and-15-pflops-dense-fp4), which delivers 15–20 NVFP4 PFLOPS. Even the Ascend 980, targeted for 2029, is projected to reach 7.2 FP8 PFLOPS and 28 FP4 PFLOPS, well below Nvidia's R200, which is on track to deliver 17.5 FP8 PFLOPS and 35/50 FP4 PFLOPS this year.

You may like

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  China’s Huawei to enter South Korean AI chip market with new Atlas SuperPods, clusters pack 8,192 Ascend 950 accelerators per deployment](https://www.tomshardware.com/tech-industry/semiconductors/chinas-huawei-to-enter-south-korean-ai-chip-market-with-new-atlas-superpods-clusters-pack-8-192-ascend-950-accelerators-per-deployment-reportedly-challenges-nvidia-dominance-with-tripled-inference-performance-of-h20-at-one-quarter-the-cost)
- [Huawei Ascend AI chip
  China's homegrown AI accelerators to supply 90% of the country's domestic market, analysts suggest](https://www.tomshardware.com/tech-industry/artificial-intelligence/chinas-homegrown-ai-accelerators-to-supply-90-percent-of-the-countrys-domestic-market-analysts-suggest-cambricon-and-huawei-expected-to-be-the-biggest-winners-in-the-shift-away-from-nvidia-and-amd)
- [Huawei Ascend
  Huawei details AI accelerator roadmap, pulls in next-generation Ascend NPUs by several quarters](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-details-ai-accelerator-roadmap-pulls-in-next-generation-ascend-npus-by-quarters-fp4-performance-of-the-ascend-960pr-doubles-expectations)

Such a massive performance difference with leading AI hardware will reinforce Huawei's reliance on massive system-level scaling rather than chip-for-chip performance to compete with Nvidia. But massive system-level scaling comes with massive power consumption, which will make Huawei's next-generation Atlas SuperPoDs and SuperClusters considerably less competitive in markets that can access hardware from AMD or Nvidia.

Huawei is in an interesting paradoxical situation. On the one hand, its integration efforts like near-package optics (NPO) clearly free up capacity on 'older' nodes that can be used for other components of AI platforms. But on the other hand, SMIC's inability to ramp production on 7nm and 6nm-class nodes limits Huawei's ability to supply its AI hardware anyway, which is why it can barely meet demand.

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Then again, while Huawei's [Atlas SuperPoDs](https://www.tomshardware.com/tech-industry/artificial-intelligence/huawei-unveils-atlas-950-supercluster-touting-1-fp4-zettaflops-performance-for-ai-inference-and-524-fp8-exaflops-for-ai-training-features-hundreds-of-thousands-of-950dt-apus) with up to 15,488 Ascend 960 NPUs can deliver up to 30 FP8 EFLOPS and 120 FP4 EFLOPS performance by far exceeding the capabilities of Nvidia's NVL72 clusters with a 72-GPU scale-up world size, their performance-per-watt is poised to be dramatically lower compared to Nvidia's architectures, which means that demand for such hardware outside of China will be limited at best. That said, a global AI hardware push doesn't make much sense for Huawei right now. What perhaps does make sense is offering cloud access to its hardware to various academic and research customers to popularize its CANN software stack.

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fallingdowndizzyvr

369

🟧 echo.other ⭐

Reuters’ original report says Huawei cannot meet Chinese demand and is limiting overseas sales. Eric Xu told reporters: “Since we don't have

Che Pan, Casey Hall, and Eduardo Baptista (Reuters)

—

Interpretation history

2026-09-25T00:18:22Z
The episode completed its news cycle and settled: Xu's remarks are confirmed by the primary Reuters report plus independent secondary coverage with no counterevidence, and the periphery has stopped expanding (0 pts/h, 0th percentile, no new outlets or follow-ups since Sept 22) — so this resolves as established market-structure background rather than a live tracking item. The 'AMD/Nvidia no longer need to worry' line remains Tom's Hardware editorializing, not part of the claim.
2026-09-21T19:29:57Z
grounded: novel/low — No meaningful intersection with Scott’s documented positions or build decisions is established: the hits show CUDA-based local inference and a cloud-GPU evaluat
2026-09-21T19:24:34Z
origin walked (codex/luna, conf 0.96): anchor reddit.post.1wmm89l -> echo.other.fc696b9d2b by Che Pan, Casey Hall, and Eduardo Baptista (Reuters)
2026-09-21T19:23:12Z
case created — The attributed capacity and market-access statement establishes a bounded supply episode distinct from Huawei's existing near-package optics case.

Decision trace

09-25 10:18resolveThe episode completed its news cycle and settled: Xu's remarks are confirmed by the primary Reuters report plus independent secondary coverage with no counterevidence, and the periphery has stopp
09-23 09:20sensor_dirtyvelocity_spike
09-23 01:21sensor_dirtyvelocity_spike
09-22 17:21sensor_dirtyvelocity_spike
09-22 13:20sensor_dirtycomment_update
09-22 10:21sensor_dirtyvelocity_spike
09-22 06:21sensor_dirtycomment_update
09-22 05:29groundNo meaningful intersection with Scott’s documented positions or build decisions is established: the hits show CUDA-based local inference and a cloud-GPU evaluation, not Ascend adoption or procurement
09-22 05:24promote_anchororigin walk conf 0.96
09-22 05:23createThe attributed capacity and market-access statement establishes a bounded supply episode distinct from Huawei's existing near-package optics case.