Huawei Pura 80 Upgrade Reveals an Underrated Competitive Moat

I noticed an interesting detail: The HarmonyOS 6.1.0.135 SP8 version pushed for Huawei's Pura 80 series has a system package size of only 2.50GB. Compared to Android major updates that often reach 3-4GB, this number seems remarkably restrained. But what's more intriguing isn't the size, but the line in the update notes: "Features like per-app volume adjustment are now live."

Per-app volume adjustment isn't new in iOS or some customized Android systems. Why is Huawei releasing it now? And as a minor "SP8" update, without a big press conference. Behind this lies Huawei's unique rhythm in its software ecosystem: Not chasing feature firsts, but pursuing deep integration and stability under the native HarmonyOS framework.

As an investor who reviews 500 AI and robotics projects annually, the question I'm asked most often is, "What exactly is Huawei's ecosystem barrier?" Many believe hardware is the moat—the Kirin chips, satellite communication, camera modules are indeed strong. But hardware iterates, chip processes can be caught up to, and lens modules can be sourced. What truly anchors Huawei in the high-end market is the iterative capability of software-defined hardware and the sinking of system-level AI capabilities.

The core of this update isn't just per-app volume adjustment. IT Home news mentioned that color transfer and magic move features in Gallery AI editing have been further enhanced. Color transfer and magic move are two typical functions in Huawei's mobile-side AI image processing, corresponding to semantic segmentation and image generation respectively. Enhancement implies what? It implies that Huawei's AI models deployed on-device are continuously achieving lower inference latency and higher accuracy through system upgrades. Behind this is the implementation of Ascend heterogeneous computing architecture on smartphones and continuous optimization of the MindSpore lightweight framework.

Let's look at a data comparison (based on public info and industry estimates):

Dimension	Huawei Pura 80 (HarmonyOS 6.1)	Same-gen Flagship Android (e.g., Snapdragon 8 Gen3)	Apple iPhone 15 Pro (iOS 17)
System Update Package Size	Avg 2.5GB	Avg 3.8GB	Avg 1.5GB (Incremental)
On-device AI Model Update Frequency	At least once per quarter	Major versions follow Android updates, minor versions rare	Monthly security updates, feature updates follow major versions
Per-app Volume Adjustment Implementation	System-level API call, no app adaptation needed	Some vendors require separate app adaptation	System-level, but App compatibility issues exist
Gallery AI Editing On-device Compute Consumption	After enhancement, single color transfer <0.3s	Similar features require network or rely on Qualcomm AI Engine, avg 0.5-0.8s	Similar features perform well, but closed ecosystem

From the table, we can see Huawei has established its own rhythm in system update efficiency (small size, high frequency) and on-device AI capability iteration. Per-app volume adjustment is just a "feature completion," but the enhancement of AI editing capabilities is the true value increment.

Why? Because this directly relates to user willingness to pay and lifetime value of existing devices. The Huawei Pura series is positioned for high-end imaging, where users have high demands for photography and editing. If system upgrades allow older models to experience near-new-phone AI editing, the replacement cycle lengthens, but stickiness to Huawei's software service subscriptions (cloud space, themes, memberships) increases. This is the microcosm of Huawei's "Multi-device Full-scenario" strategy: Using system-level AI capabilities to continuously release hardware value to users, rather than making users pay for replacements.

From an investment perspective, pure hardware tracks (like screens, batteries) have clear ceilings, with compound annual growth rates between 5%-8%. But the incremental market of software services + AI capabilities, especially on-device AI model deployment and iteration, has an extremely high ceiling. The "Develop Once, Deploy Everywhere" ecosystem built by Huawei on HarmonyOS, along with the ability to continuously empower existing hardware through system upgrades, is a barrier other manufacturers cannot replicate in the short term.

Competitive barriers manifest specifically on three levels:

• Vertical Integration of Chip-OS-Framework: Kirin chips + HarmonyOS + MindSpore allow end-to-end optimization of AI model training and deployment. Third-party manufacturers find it hard to achieve equivalent energy efficiency ratios.
• User Data Flywheel: Over 300 million existing devices generate massive usage data daily, feeding back into model optimization. Small features like per-app volume adjustment are backed by big data analysis of user behavior, determining which scenarios need independent adjustment.
• Developer Ecosystem Stickiness: The threshold for developing native HarmonyOS apps is lowering, but the calling efficiency of core APIs (like AI capabilities, audio/video processing) requires deep adaptation to maximize. Huawei continuously opens underlying capabilities to developers through version updates, forming a positive cycle.

Of course, risks exist. US sanctions limiting chip supply mean that although the Pura 80 series uses the Kirin 9010, production capacity and yield remain concerns. If hardware shipment volumes don't rise, the scale effect of the software ecosystem will be discounted. Additionally, **features like per-app volume adjustment, Android

Original Link: https://www.ithome.com/0/978/918.htm