OPPO took to the stage at the Snapdragon Summit 2022 to introduce a collaboration between OPPO and Qualcomm Technologies, Inc. in ray tracing graphics for mobile devices.
The collaboration brings a breakthrough in mobile ray tracing technology that will allow users to experience a fully optimised hardware-based ray tracing feature on the flagship Snapdragon 8 Gen 2 Mobile Platform when it releases.
At the Snapdragon Summit, OPPO also demonstrated breakthroughs achieved in its collaboration with Qualcomm Technologies and Google to implement Google Vertex AI Neural Architecture Search (Google NAS) on a smartphone for the first time. The new solution will boost energy efficiency and latency of AI processing on mobile devices.
As a long-term partner of Qualcomm Technologies, collaborating since early phase of the next-gen driver development, OPPO has also announced that it will use the latest launched premium Snapdragon 8 Gen 2 Mobile Platform in its next Find X flagship devices, delivering a leap in video, gaming, and connectivity experiences for mobile users worldwide.
Snapdragon 8 Gen 2 Mobile Platform
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As the first smartphone manufacturer to provide an open-sourced ray tracing solution for mobile, OPPO has collaborated with Qualcomm Technologies to conduct software optimisations based on the new generation Snapdragon 8 Gen 2 Mobile Platform. These optimisations enable OPPO’s ray tracing technology to be applied to complex, large-scale game scenes on mobile devices.
Visitors to the Snapdragon Summit 2022 were able to experience this ray tracing technology on live game demos, making OPPO the only smartphone manufacturer at the Snapdragon Summit to demonstrate such technology on handsets powered by the flagship Snapdragon 8 Gen 2 Mobile Platform.
Running on a device powered by Snapdragon 8 Gen 2 Mobile Platform, with multiple ray tracing effects turned on, top mobile games can run at a steady 60 FPS while providing life like soft shadows and reflections for the highest gaming visual quality. Compared with previous software only generation, ray tracing render efficiency increased by a factor of 5 and reduced the CPU workload by 90%.
![OPPO’s next Find X flagship will be one of the first smartphones to feature Premium Snapdragon 8 Gen 2 Mobile Platform and Google Cloud Vertex AI NAS technology OPPO’s next Find X flagship will be one of the first smartphones to feature Premium Snapdragon 8 Gen 2 Mobile Platform and Google Cloud Vertex AI NAS technology - Alvinology](https://media.alvinology.com/uploads/2022/11/Oppo-Mobile-Ray-Tracing.jpg)
These advances will enable the mobile game industry to step away from its reliance on using software simulation to achieve ray tracing effects, and instead bring advanced, ultra-realistic lighting to complex, large-scale game scenes on mobile devices.
OPPO was the first smartphone manufacturer to develop ray tracing technology on mobile devices through software. Since 2020, OPPO has been building an open ecosystem around the technology that brings together creators, game developers, and game engine developing platforms with the PhysRay SDK — the first open-sourced ray tracing solution on mobile devices released by OPPO.
To better cater to the various needs of developers, OPPO has continued to optimise the PhysRay engine for enhanced compatibility between different hardware and software configurations. The Open, Convenient, Adaptive and Balance ray tracing solution acts as a much-needed bridge between hardware and software when implementing ray tracing on mobile devices.
Google NAS
OPPO has also been working with Qualcomm Technologies and Google to enhance future AI capabilities on mobile devices. Under the collaboration, OPPO has successfully integrated the hardware power reward into Google NAS for the first time. Through optimisations to the AI algorithms based on the specific chip characteristics, OPPO’s implementation achieves a 27% reduction in power of the target detection algorithm and a 40% reduction in computing latency.
Together, these improvements will enable AI models to be trained with greater energy efficiency and hardware friendliness in a shorter timeframe.