infra for ambient intelligence
Joined August 2014
- Tweets 31
- Following 5
- Followers 41
- Likes 52
Photos and videos
NVIDIA's Nemotron 3.5 ASR Streaming Multilingual is now available through FluidAudio optimized for Apple Silicon so apps can run ~40-language real-time ASR entirely on device, no cloud required.
Apps shipping with it today include
@SpokenlyApp, @ALTIC_DEV, @SnaplyAI, and others.
FluidAudio:
github.com/FluidInference/Fl…
Original model:
huggingface.co/nvidia/NVIDIA…
@NVIDIAAIDev
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Snaply now supports NVIDIA Nemotron 3.5 ASR Multilingual via @FluidInference — 40 language-locales,
on-device, no cloud, free to use.
@NVIDIAAIDev @NVIDIAAI
#NemotronSpeech #VoiceAl
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Today's a big day for Nemotron models.
Along with Ultra, we also shipped Nemotron Speech 3.5 that now supports 40 Languages and it's insanely Fast and Ultra Low latency!
I collaborated with @Alex_tra_memory, @fluidinference and @ALTIC_DEV to port the model to coreML to make bring the latest Nemotron model to any macbook using FluidVoice!
Give it a try and lmk what you think!
Link below ⬇️
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Jun 4
Audivize now supports NVIDIA Nemotron 3.5 ASR Multilingual via @fluidinference, adding support for 40 language-locales all on-device.
Demo: audivizelabs.com
Model: huggingface.co/nvidia/NVIDIA…
@NVIDIAAIDev @NVIDIAAI
#NemotronSpeech #VoiceAl
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Jun 4
Spokenly now supports NVIDIA Nemotron 3.5 ASR Streaming Multilingual via @fluidinference — 40 locales, on-device, free, no subscription. Privacy-first dictation, now global.
App: spokenly.app
Model: huggingface.co/nvidia/NVIDIA…
@NVIDIAAIDev #VoiceAI
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Fluid Inference retweeted
Jun 4
Spokenly now supports NVIDIA Nemotron 3.5 ASR Streaming Multilingual via @fluidinference — 40 locales, on-device, free, no subscription. Privacy-first dictation, now global.
App: spokenly.app
Model: huggingface.co/nvidia/NVIDIA…
@NVIDIAAIDev #VoiceAI
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Fluid Inference retweeted
Jun 4
Nemotron ASR Multilingual running on an iPhone 17 Pro in CoreML.
Many thanks to @fluidinference for the CoreML model and to @NVIDIAAI @NVIDIAAIDev for the model itself.
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Fluid Inference retweeted
Jun 4
FluidVoice 1.5.15 now supports @NVIDIAAI Nemotron 3.5 ASR Multilingual collaborating with @fluidinference - 40 language-locales, free forever, fully on-device, and ultra fast!
👉Download here —> altic.dev/fluid
@NVIDIAAIDev @NVIDIAAI #NemotronSpeech #VoiceAI
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Fluid Inference retweeted
Snaply now supports NVIDIA Nemotron 3.5 ASR Multilingual via @FluidInference — 40 language-locales,
on-device, no cloud, free to use.
@NVIDIAAIDev @NVIDIAAI
#NemotronSpeech #VoiceAl
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Fluid Inference retweeted
Today's a big day for Nemotron models.
Along with Ultra, we also shipped Nemotron Speech 3.5 that now supports 40 Languages and it's insanely Fast and Ultra Low latency!
I collaborated with @Alex_tra_memory, @fluidinference and @ALTIC_DEV to port the model to coreML to make bring the latest Nemotron model to any macbook using FluidVoice!
Give it a try and lmk what you think!
Link below ⬇️
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Fluid Inference retweeted
May 18
Supertonic3 running on an iPhone 17 Pro using ANE on CoreML. It’s blazing fast with low RAM consumption and background capable. 2 mins worth of audio generated in 3 secs.
Many thanks to @fluidinference for the port.
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rewrote VoiceScribe to use tca/swiftui, now focusing soley on local transcription/llm cleanup.
it now provides local whisper and parakeet (thanks to @fluidinference, coreml) transcription, coupled with optional local llm cleanup (mlx).
there are a lot of wrappers around these great transcription models, but i wanted to learn how to package and distribute local model inference for this use-case myself. it's been a lot of fun.
eddmann.com/VoiceScribe/
github.com/eddmann/VoiceScri…
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Built a YouTube transcriber skill for Claude Code. Paste a URL, get a local transcript. Playlists, auto-chunking for long videos. Also downloads full video with --keep-video.
Powered by @FluidInference — install together with the fluidaudio-skill:
github.com/b1rd33/youtube-tr…
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Jan 15
Surprisingly easy using @fluidinference's libraries that leverage CoreML converted models like Nvidia Parakeet on Mac OS.
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beautiful
Feb 5
FluidAudio now has a Mintlify docs site to help developers integrate local ASR, diarization, and TTS.
Big thanks to @mintlify's OSS program for giving open source projects free access to premium features.
docs.fluidinference.com
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Fluid Inference retweeted
Feb 3
we now support kyutai-lab's pocket tts in FluidAudio. PocketTTS is a streaming TTS that handles long text with seamless chunk transitions and is a more permissive model for commercial usages .
Get started here:
github.com/FluidInference/Fl…
credits to @sach1n for helping us test this & the video demo
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Fluid Inference retweeted
Feb 2
i just finally got qwen-asr converted to cormel. what was surprisingly was that it uses a encoder -> embedder -> llm transcription. the architecture is quite alien from traditional nvidia transformer transducer pipelines.
this is something i am unfamiliar with but it does mean claude code is able to better grasp the LLM architecture given it still follows a standard LLM template. vs requiring alot more guidance for typical audio models.
i have linked the PR if anyone wants to take a look
github.com/FluidInference/Fl…
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