CNN TürkTÜRKİYE - BELÇİKA MAÇI NE ZAMAN? Milli maç nerede, hangi stadyumda oynanacak? Belçika-Türkiye maçı tarihi, saati ve canlı yayın bilgileri...ESPNPadres pummel Cubs behind Tatis' leadoff blast, King's no-hit bid in Game 1PunchUS man freed after 41 years on death row as DNA clears himBollywood HungamaVimal Elaichi row: FDA commissioner says Shah Rukh Khan, Ajay Devgn, and Tiger Shroff have responded to notice; two hearings heldDaily MaverickCHANGE MAKER: Health and hope thrive in a hydroponic garden on a rooftop in HillbrowESPN DeportesRevive las emociones del día 1 de la Ronda de Comodines en MLBSözcüTürkiye'nin dev santrali iflasını istedi!The Jerusalem PostSuspected security incident on Dubai-Tel Aviv flight, authorities investigatingيورونيوزحصري: ألمانيا تحمي أجزاء من "دويتشه بورزه" من رقابة الاتحاد الأوروبيХабрКак мы создали ИИ-агент для дизайн-системыVanguardGTCO records N603bn profit, proposes N1 dividendTagesschauUkrainische Behörden melden mehrere Tote durch Angriffe auf Kiew
The Daily Newsstand · Free, Always
Wednesday, September 30, 2026

DeepSeek partners with Huawei to develop chip programming tools, reducing reliance on Nvidia

Translate

HONG KONG, Sept 30 : Chinese AI firm DeepSeek said on Wednesday it has partnered with Huawei Technologies to develop programming tools for Huawei's Ascend chips, the latest sign of Chinese tech firms deepening ties as they seek alternatives to the Nvidia ecosystem. 

In a post on its official WeChat account, DeepSeek said it was open-sourcing infrastructure for Huawei's Ascend platform, including a high-level programming language called TileLang, along with related compute and communication libraries.

"To build a new generation of independent, self-controlled GPU software ecosystem, the first priority is establishing a high-level language that is universal, easy to program, and still capable of reaching the hardware's full performance potential," DeepSeek said.

"TileLang was created precisely to meet this need," the company said, adding that it offers "a simpler programming model" than Nvidia's CUDA, improving development efficiency and simplifying code logic.

View the original on Channel News Asia →

KioskNews shows a cleaned-up reading view extracted from the publisher’s page — the original always lives on their site, not ours.