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Comments (15)

  • @theo_avramiss 2026-06-18

    So can someone use this on low level hardware? Like without a GPU?

  • @jasper_de_craene 2026-06-19

    its really good. recognizes multiple languages, even when switching language mid sentence.

  • @marc.kaz 2026-06-18

    🚨 NVIDIA JUST DROPPED A 0.6B CPU-ONLY SPEECH RECOGNITION MODEL

    Nemotron-3.5-ASR delivers real-time streaming ASR across 40+ languages — and it runs entirely on CPU.

    Ships with:
    • Only 0.6B parameters
    • Real-time streaming output
    • 2.5x faster than official Nemo runtime (same accuracy)
    • Fully offline capable
    • Easy integration into local agent pipelines

    Another strong small model for on-device/local AI stacks.

    👉 https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b

    Who’s running local speech recognition today? Drop a 🔥

  • @shahar_ain_kedem 2026-06-18

    You are the best Ai influencer

  • @rohantg_ 2026-06-18

    how is the goat finding these 🔥🙌

  • @jj_elly.fish 2026-06-18

    Brooo check Mothrag.com new opensource commercial multihop retrival. 🫪😱

  • @sami.p_1707 2026-06-19

    nemotron 3.5 vs whisper?

  • @cquin__ 2026-06-18

    Foh-ee languages

  • @benitserge 2026-06-18

    WhatsApp guyz🔥🔥🔥👏 you have hot news everytime

  • @llamapalhq 2026-06-19

    Yo @marc.kaz ! This is actually a good model. I added it to my app LlamaPal. Do check it out. Its on Playstore and it's free.

  • @arnabwithab 2026-06-19

    What is that 241 ms? If thats the actual latency, im not sure its worth it

  • @suharshh 2026-06-19

    @sami.p_1707 its working better than whisper for other languages (tested hindi)

  • @nixkuroi 2026-06-19

    How does it compare to Whisper large model?

  • @louxhist 2026-06-18

    you guys have tried it, how good it's comparable to grow super whisper?

  • @tyl0o0r 2026-06-18

    Why is this any better than existing non NN text to speech tools?

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