Tagged "mobile-ai-deployment"
6 articles tagged mobile-ai-deployment, 27 February 2026 to 4 May 2026. Newest first.
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Google Explains Why AICore Storage Requirements Are Increasing on Android
Google provides transparency about the expanding storage footprint of AICore, its on-device AI runtime for Android, explaining the tradeoffs between capability and storage size.
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Developer Turns Phone Into Local LLM Server with Vision, Voice, and Tool Calling Capabilities
An XDA developer has successfully transformed a smartphone into a fully-featured local LLM server capable of handling vision, voice input, and executing tool calls. This demonstrates the feasibility of sophisticated AI workloads on mobile devices without cloud dependencies.
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Kokoro TTS Achieves 20× Realtime Speed on CPU-Only On-Device Inference
A developer has successfully deployed Kokoro text-to-speech with 20× realtime performance using only CPU inference via MLX Swift on iOS, enabling high-quality, low-latency speech synthesis entirely on-device.
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RF-DETR Nano and YOLO26 Enable On-Device Object Detection on Smartphones
Researchers have demonstrated RF-DETR Nano and YOLO26 running object detection and instance segmentation on mobile phones entirely on-device, with no cloud API calls or external dependencies.
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Snapdragon 8 Elite Gen 5 Hands the Galaxy S26 the AI Upgrade We've Been Waiting For
Qualcomm's Snapdragon 8 Elite Gen 5 delivers significant improvements to on-device AI performance through enhanced neural processing units, enabling more sophisticated local LLM inference on flagship smartphones. This hardware evolution supports increasingly capable models running natively on mobile devices.
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On-Device AI in Mobile Apps: What Should Run on the Phone vs the Cloud (A 2026 Decision Guide)
A comprehensive guide for developers deciding which AI workloads to run locally on mobile devices versus offload to cloud infrastructure, with practical considerations for 2026 deployment strategies.