vivo Unveils Edge AI Strategy to Enhance Smartphone Intelligence
vivo Unveils Edge AI Strategy to Enhance Smartphone Intelligence
At the 2025 vivo Developer Conference, Zhou Wei, Vice President of vivo and Director of the AI Global Research Institute, unveiled the company's latest advancements in smartphone technology, with a strong emphasis on edge-side AI. This strategic pivot marks a significant shift from reliance on large cloud-based models to more efficient, lightweight edge-side solutions.
The Blue Heart Intelligence Strategy
vivo introduced its Blue Heart Intelligence Strategy alongside OriginOS 6, with the edge-side large model taking center stage. One standout innovation is the 3B edge-side multimodal reasoning large model. While lighter than traditional 10B models, it boasts enhanced language and logical reasoning capabilities. This allows users to enjoy intelligent features comparable to larger models without sacrificing storage space.

Challenges and Opportunities
Zhou emphasized that while cloud-based AI implementations are relatively straightforward, the real challenge lies in advancing edge-side capabilities. To address this, vivo is refining user interfaces to reduce operational steps and improve task efficiency. The company's mobile assistant is also evolving, now capable of intelligently recognizing screen content and performing AI-driven summarization and classification.
However, challenges remain. Collaboration between applications and adherence to security standards require further refinement. Zhou acknowledged these hurdles and pledged vivo's commitment to fostering industry-wide standards to facilitate seamless technological cooperation.
Looking Ahead
With smartphone AI capabilities rapidly advancing, vivo aims to lead the charge. The company envisions partnering with the broader internet industry to deliver superior intelligent experiences for users worldwide.
Key Points:
- Edge-side AI: vivo shifts focus from cloud-based to lightweight edge models.
- Blue Heart Strategy: Introduces 3B multimodal reasoning model for enhanced performance.
- User Experience: Streamlined interfaces and smarter assistants aim to boost efficiency.
- Industry Collaboration: Calls for standardized protocols to overcome interoperability challenges.



