On-device

  1. Qualcomm's Snapdragon X Elite powers the first Googlebook laptops from Dell and HP

    The Dell XPS Googlebook 13 and HP Googlebook 14 use the Snapdragon X Elite and its 45 TOPS NPU to run Gemini Intelligence features, with pre-orders open.

  2. vivo previews BlueCode phone coding agent and researches a 30B MoE on-device model

    vivo showed a preview of BlueCode, a native coding agent for phones, and says it is researching a 30B-parameter BlueLM MoE model for on-device use.

  3. OPPO unveils ColorOS 17 with an on-device linear-attention model and 128K context

    OPPO says the on-device model in ColorOS 17 uses linear attention, supports 128K context and needs 48% less memory and 55% less energy than its predecessor.

  4. Arm unveils Mali G2-Ultra NX GPU with neural accelerators in every shader core

    Arm says the Mali G2-Ultra NX runs neural upscaling and frame generation on accelerators inside its shader cores, with up to 24% higher benchmark performance.

  5. Arm unveils CSS for Mobile 2 with C2 CPU cluster, up to 1.7x faster on AI models

    Arm says its C2-Ultra CPU with two SME2 units delivers up to 1.7x performance across the latest AI models and finishes an agentic workflow 24% faster.

  6. Arm recaps Arm Create China and shows Qwen3-TTS 0.6B running on a vivo X300 CPU

    Arm's Create recap shows Qwen3-TTS 0.6B on a vivo X300 CPU with SME2 at a 1.2x real-time factor and 4.7 GB peak memory.

  7. MediaTek launches Dimensity 9600 Pro, a 2nm chip for on-device models up to 30B parameters

    MediaTek says the NPU 1090 in the 2nm Dimensity 9600 Pro raises LLM prefill by 51% and supports on-device models with up to 30B parameters.

  8. Cactus releases Needle 3, a 121M-parameter tool-calling model in an 8 to 29 MB binary

    Needle 3 is a 121M-parameter model for tool calling, structured extraction and embeddings that ships as a single 8 to 29 MB binary.

  9. ASUS announces Ascent QN10, a mini PC with Snapdragon X2 Elite and an 80 TOPS NPU

    The Ascent QN10 is a mini PC under 0.7 liters with an 18-core Snapdragon X2 Elite and a Hexagon NPU rated at up to 80 TOPS for local LLM inferencing.

  10. Edge0 releases MoE expert-offloading framework, demos 35B model on iPhone

    Edge0 streams mixture-of-experts weights from storage. Its 35B tier reports 2.9 GiB peak memory on a Mac mini M4 Pro; a launch post shows a 35B model on an iPhone.

  11. llama.cpp Hexagon NPU backend tested on a Snapdragon 8 Gen 3 phone

    A user report puts Gemma 3 4B at 12.5 tokens per second of generation on a OnePlus 12 using llama.cpp’s Hexagon NPU backend, at about CPU speed but without the heat.

  12. Qualcomm teases next-gen Hexagon NPU ahead of Snapdragon Summit 2026

    Qualcomm has teased its next-generation Hexagon NPU — featuring a transformer-focused Element Accelerator and 50% more shared memory — built for on-device agentic AI ahead of the …