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China’s DeepSeek open-sources tools to help Huawei chips supplant Nvidia in AI

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Cite

Feng, C. (2026, September 30). China’s DeepSeek open-sources tools to help Huawei chips supplant Nvidia in AI. South China Morning Post. https://www.scmp.com/tech/tech-trends/article/3369301/chinas-deepseek-open-sources-tools-help-huawei-chips-supplant-nvidia-ai?utm_source=rss_feed

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

South China Morning Post · collected 2026-09-30 · by Coco Feng

Quick Summary

DeepSeek, a Chinese company based in Hangzhou, has released six open-source software tools designed to support Huawei's AI chips as alternatives to Nvidia products. These tools include an Ascend-compatible version of TileLang, a programming language that optimizes code for GPUs and CPUs. The goal is to create an independent software ecosystem around Huawei’s processors, enhancing their competitiveness in the AI market.
Written by AI on 2026-09-30, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Hangzhou-based DeepSeek, a Chinese company, has released six software tools designed to support Huawei's AI chips in competing with those made by Nvidia, aiming to build an "independent and controllable" software ecosystem for GPUs. The suite includes a version of TileLang, a custom programming language optimized for high-performance computations on GPUs and central processing units (CPUs). This updated TileLang now officially supports Huawei's Ascend 950 accelerators alongside Nvidia’s systems, enabling native code generation, automatic scheduling, and synchronization. These efforts reflect China’s push towards developing its own AI chip technologies independent of Western companies like Nvidia.

Written for “China AI Chip Development” on 2026-10-31, grounded in this article and the 0 other(s) covering the same event.

Story

📰 China AI Chip Development
Technology · 1 article(s) covering the same event.

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
4
sentences that state something as happening or true
Uncertain
50%
2 of 4 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
64/100
South China Morning Post's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-30 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

South China Morning Post · 3480 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)

Who wrote this

Coco Feng
4 article(s) here · 0 carrying a prediction
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Also by Coco Feng
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

China DeepSeek Huawei Nvidia TileLang

Subjects

Nvidia ORG · 3× DeepSeek ORG · 2× Huawei ORG · 2× China GPE · 1× Hangzhou GPE · 1× WeChat ORG · 1×

Narrative

Among the releases is an Ascend-compatible version of TileLang, a custom programming language designed to streamline the development of high-performance kernels – essential computation programs – to run on GPUs and central processing units.
framing: mixed · carried by 1 article(s) · first seen 2026-09-30
2026-09-30 · South China Morning Post
China’s DeepSeek open-sources tools to help Huawei chips supplant Nvidia in AI · mixed framing

Claims (4 extracted, 2 hedged)

China’s DeepSeek open-sources tools to help Huawei chips supplant Nvidia in AI asserted
chips → source → AI
With introduction of suite of six tools, AI model developer aims to create ‘independent’ software ecosystem for AI processors Hangzhou-based DeepSeek released six software modules that mirror its prior open-source tools for Nvidia’s AI chips, aiming to build a new “independent and controllable” software ecosystem for graphics processing units (GPUs), according to a post on its official WeChat account. uncertain
that → aim → account
Among the releases is an Ascend-compatible version of TileLang, a custom programming language designed to streamline the development of high-performance kernels – essential computation programs – to run on GPUs and central processing units. asserted
version → design → GPUs
While TileLang lists Nvidia as its primary back end, it now officially supports Huawei’s Ascend 950 accelerators, offering “native code generation, automatic scheduling, and synchronisation”, according to an update on the project’s GitHub page. uncertain
it → list → page
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