https://llmobile.news/companies/vivo/A concise news ticker covering AI on mobile devices, local models, apps and hardware.en-GBhttps://llmobile.news/ticker/vivo-bluecode/https://llmobile.news/ticker/vivo-bluecode/Wed, 16 Sep 2026 00:00:00 +0200vivo has released a preview version of BlueCode, a native coding agent that lets users complete software development tasks on the phone itself. The company presented it at its developer conference in Shenzhen and describes the goal as turning phones from content consumption terminals into productivity tools. The reports name no supported devices, release date or technical details for the preview. vivo is also researching a 30B-parameter BlueLM MoE model for on-device use, according to Tencent News. MoE means the model is split into expert sub-networks and only part of it is active per token. Vice President Zhou Wei said the research aims to explore trillion-scale model applications on phones, and that memory and compute are the main barriers to running large models on them. If model capability improves substantially, each load would need only about 3 to 12 GB of memory, the report quotes him as saying. The 30B model sits next to the BlueLM lineup that vivo announced at the same event, which has four models for speech (BlueLM-RealTime), on-device use (BlueLM-Nano) and the cloud (BlueLM-Flash and BlueLM-Pro). According to NetEase, BlueLM-Nano handles local perception and personal memory on the device. vivo also launched OriginOS 7, and BlueOS 4 arrives on the vivo WATCH 6. Source: https://developers.vivo.com/product/ai/bluecode Read the article: https://llmobile.news/ticker/vivo-bluecode/Developer toolsBusinesshttps://llmobile.news/ticker/arm-create-china-2026/https://llmobile.news/ticker/arm-create-china-2026/Fri, 11 Sep 2026 00:00:00 +0200Arm has published five developer takeaways from Arm Create, its developer events in Shanghai and Shenzhen. Two of them concern on-device AI. Arm says model choice starts with the workload and not with model size alone, and that developers should decide which parts of an application stay on the device, which run on nearby edge infrastructure and which need the cloud. The Shenzhen panel included Alibaba Qwen, ModelBest, Tencent Hunyuan and Ultralytics. In the Shanghai keynote, Shantu Roy, Arm’s VP of Developer Relations, discussed the Arm AI Portal. Arm says the portal lists models validated and optimized for Arm-based platforms, together with performance data for specific targets, code and deployment workflows. Coding agents can reach the same information through the Arm MCP Server. The recap shows the portal’s evaluation of Qwen3-TTS 0.6B Custom Voice, a multilingual streaming text-to-speech model from Alibaba, on a mobile CPU. The entry lists a vivo X300 with 8 CPU cores and 16 GB of memory, SME2, the XNNPACK and KleidiAI optimizations, FP16 weights and the LiteRT runtime. It reports a real-time factor of 1.2x against a baseline of 0.28x and a median end-to-end latency of 3,878 ms against 16,877 ms. Peak memory is 4,727 MB against 6,718 MB, and the evaluation uses the English subset of the MiniMaxAI TTS-Multilingual-Test-Set. Evaluation results in the Arm AI Portal, as shown in Arm's recap. Source: Arm. Arm also points to Arm CSS for Mobile 2, which combines the Arm C2 CPU Cluster with SME2 and the Mali G2-Ultra NX GPU. Arm says the platform supports new on-device AI experiences on mobile. The next Arm Create event moves to the US, and Arm has not given a date. Source: https://newsroom.arm.com/blog/takeaways-from-arm-create-china-2026 Read the article: https://llmobile.news/ticker/arm-create-china-2026/ChipsModelsAndroidTTShttps://llmobile.news/ticker/arm-css-for-mobile-2/https://llmobile.news/ticker/arm-css-for-mobile-2/Tue, 08 Sep 2026 00:00:00 +0200Arm has introduced Arm CSS for Mobile 2, a compute platform for smartphone chips that combines the C2 CPU cluster, the Mali G2-Ultra NX GPU and the SI L2 system interconnect. The C2 cluster pairs C2-Ultra and C2-Pro CPUs with two SME2 units, the Scalable Matrix Extension 2 that speeds up matrix math for AI on the CPU. Arm says this doubles the SME2 capability of the previous-generation configuration and reports up to 1.7x performance across the latest AI models. The cluster delivers up to 15% higher single-thread performance, 15% faster web browsing, 12% faster app launch and 12% higher multi-thread performance, Arm reports. For AI, it cites a peak uplift of up to 70% in selected tasks. Its slide compares speech, personal memory retrieval and prefill, the phase where a model reads the prompt, against the C1-Ultra with SME2. In a representative agentic workflow covering speech processing, memory retrieval, reasoning, app execution and web browsing, the C2-Ultra with two SME2 units finishes 24% faster than the previous generation, according to Arm. Arm's own comparison of the C2-Ultra with the C1-Ultra, with the AI tasks measured against the C1-Ultra with SME2. Source: Arm. The example flagship configuration in Arm’s slides has two C2-Ultra and six C2-Pro cores. The Mali G2-Ultra NX GPU integrates neural accelerators into its shader cores and adds a new execution engine and a third-generation ray tracing unit for neural graphics. Arm says the SI L2 interconnect provides lower-latency access, higher bandwidth, coherency and quality-of-service controls for CPU, GPU and other resources working at the same time. Partners can use each component on its own or combine them with custom and third-party IP. Arm's slide for the C2-Ultra CPU with an example flagship cluster layout. Source: Arm. On the software side, Arm lists KleidiAI, its optimized libraries for Arm CPUs including SME2 paths, plus integrations with common AI frameworks. The Arm AI Portal offers validated models with performance and accuracy data, code examples and deployment resources, and the Arm MCP Server connects them to agentic development tools. vivo says it is bringing Arm Neural Technology to its latest flagship smartphones built on the platform, aimed at mobile gaming. Arm’s post names no launch dates for devices with CSS for Mobile 2. Source: https://newsroom.arm.com/blog/arm-css-for-mobile-2-and-c2-cpu-cluster Read the article: https://llmobile.news/ticker/arm-css-for-mobile-2/ChipsAndroid