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Tag: guiyang

  • Huawei Cloud Retires 2 openPangu Models from Model-as-a-Service Platform

    Huawei Cloud Retires 2 openPangu Models from Model-as-a-Service Platform

    Huawei Cloud will shut down commercial access to its openPangu-2.0-Flash and openPangu-2.0-Pro AI models on its Model-as-a-Service platform, ending sales on November 6 and terminating all hosted calls on November 30.

    The cut comes four months after Huawei open-sourced the 505-billion-parameter Pro version, forcing enterprise customers running consumer analytics and internal search workloads in its Southwest Guiyang cloud region to switch tools before December.

    New customers cannot buy or activate either model service after midnight on November 6, while existing accounts retain operational access only through the end of the month. Huawei Cloud directs accounts using openPangu-2.0-Flash to DeepSeek-V4.1-Flash-1017 as their replacement, while routing openPangu-2.0-Pro users to Zhipu AI’s GLM-5.3.

    Migration Demands and Technical Friction

    Engineering teams face immediate rewrite costs. Huawei Cloud noted that the replacement models carry different API parameters, cost structures and output profiles, requiring developers to retest task pipelines rather than swap endpoints blindly.

    Software setups built on the company’s early MaaS standard API V1 must be rewritten to work with an OpenAI-compatible endpoint. Teams already on API V2 or an OpenAI-style interface need to alter model identifier calls.

    Retail commerce platforms relying on openPangu for live inventory categorisation or chatbot assistance now have less than a month to validate replacement models. Changing baseline models often alters latency profiles and customer response formats across live digital storefronts.

    Rival Platforms and Vendor Strategy

    The decision to retire homegrown models while recommending independent rivals highlights the fierce pace of platform rationalisation across China’s cloud ecosystem. Rather than carrying the operational cost of maintaining earlier foundation models, cloud providers now drop their own releases rapidly in favour of top-performing external open weights.

    DeepSeek and Zhipu AI gain immediate enterprise volume from the shift. Huawei Cloud’s public embrace of DeepSeek-V4.1-Flash and GLM-5.3 confirms that third-party open architectures are setting operational benchmarks on Chinese sovereign server hardware, even inside Huawei’s proprietary Ascend computing clusters.

    Platform developers bear the stability risk. By cycling through model versions within single-digit months, platform operators transfer the cost of code maintenance, integration testing and deployment downtime onto enterprise software clients.

    Rapid Model Turnover on Ascend Hardware

    Huawei made openPangu-2.0-Flash public on June 30 with 92 billion parameters, followed by the 505-billion-parameter openPangu-2.0-Pro sparse model on July 31. Both variants were tailored for Ascend neural processing units, accompanied in late September by the release of complete pretraining, supervised fine-tuning and reinforcement learning source code.

    The company’s hosted platform has cleared out earlier systems at a comparable pace throughout the autumn. Huawei Cloud scheduled GLM-5.1 for removal on November 16, switched DeepSeek-V4-Flash accounts to version 4.1, set Kimi-K2.6 for retirement on November 8, and pulled DeepSeek-V4-Pro from hosting in September alongside older Qwen and Wan models.

    The retirement schedule applies strictly to managed API services hosted out of the Guiyang data centre, leaving the underlying open-source weights and training code available in public repositories for teams running their own compute stacks.

    Software teams on Huawei Cloud must finish transitioning their active workloads to the DeepSeek and GLM services before the Guiyang cluster unplugs both openPangu endpoints at midnight on November 30, while Huawei prepares a successor generation of Pangu models without a public release date.

  • Louis Vuitton to Close Guiyang Store as Southwest China Footprint Shrinks

    Louis Vuitton to Close Guiyang Store as Southwest China Footprint Shrinks

    Louis Vuitton will close its only store in Guiyang on August 31, cutting its footprint in southwestern China to three locations.

    The retreat brings the French luxury house down from a peak of six stores across the southwestern region.

    An on-site notice confirmed the pending exit in the capital of Guizhou province. The closure follows a wider review of the brand’s network across mainland China, where consumer spending on luxury goods has softened and purchasing habits continue to evolve.

    Network cuts in the southwest

    Trimming regional outposts allows luxury operators to protect margins while focusing resources on premier flagship locations in tier-one hubs. Southwestern provincial capitals once served as key targets for European brands seeking newly affluent shoppers outside Beijing and Shanghai. That rapid retail buildout has steadily unwound across secondary hubs as consumer footfall and basket sizes contract.

    Legal pushback and consumer sentiment

    The network changes coincide with active trademark enforcement in mainland courts. In July, Chinese beverage chain Molly Tea was ordered to pay Louis Vuitton 10.3 million yuan ($1.5 million) over the use of a similar logo. While the court ruled in favour of the luxury brand, the verdict generated public sympathy for the domestic drinks company across Chinese social platforms.

    S&P Global Ratings director Sandy Lim noted that while immediate sales effects from the dispute are limited, brand perception among younger buyers requires attention. Lim stated that this emerging consumer group prioritises cultural respect alongside prestige when selecting brands.

    Operations at the Guiyang store cease on August 31, leaving three operational sites in the southwestern provinces as luxury houses track autumn demand trends.