nemotron-speech-streaming-en-0.6b Memory at each precision, the licence in plain words, and where it fits.
Short answer. nemotron-speech-streaming-en-0.6b needs about 1.8 GB of memory at 4-bit, 2.2 GB at 8-bit and 2.7 GB at full 16-bit precision, including runtime overhead. It has about 618 million parameters. Licence in short: custom licence: check before commercial use. By memory alone, on ANVE’s launch configurations: ANVE One fits at BF16, ANVE Office fits at BF16, ANVE Office Pro (GPU) fits at BF16. These are estimates from its published size, not benchmarks.
01
What it is
nemotron-speech-streaming-en-0.6b is a speech-recognition model that turns recorded speech into text, published by NVIDIA on Hugging Face on 17 December 2025. It has about 618 million parameters.
Its card lists the licence as a custom licence (nvidia-open-model-license). In short, the licence sets its own terms; read it before any commercial use.
Hugging Face counted about 311,932 downloads of it in the 30 days before we checked (7 Oct 2026), and 634 people have liked it there.
02
How much memory it needs
The arithmetic: parameters × bits per weight ÷ 8 gives the weights, plus about 1.5 GB for the runtime. These are planning estimates, not measurements.
Speech models also need working memory for the audio being processed, which is small next to the weights.
Precision
Weights
Total, estimated
BF16 (full precision)
1.2 GB
2.7 GB
8-bit (Q8_0)
0.66 GB
2.2 GB
4-bit (Q4_K)
0.35 GB
1.8 GB
03
Architecture at a glance
Setting
Value in config.json
Architecture class
NemotronAsrStreamingForRNNT
Model type
nemotron_asr_streaming
Vocabulary
1,025
Stored precision
float32
04
Will it fit on ANVE?
How the verdicts are worked out: on ANVE One, about three quarters of 64 GB of unified memory is available to the model; on ANVE Office and ANVE Office Pro, the model has to fit in the 24 GB on the graphics card, with 64 GB or 128 GB of system memory for everything else. This is arithmetic against the launch specification, not a test. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.
Configuration (at launch)
Memory for the model
Verdict
ANVE One
about 48 GB of 64 GB unified memory
fits at BF16
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at BF16
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at BF16
05
What an office would use it for
For an office, this is the model that turns a recorded meeting or call into a transcript. Accuracy depends heavily on the language, the microphone and how people talk over each other, so test it on your own recordings.
06
Similar models to compare
indic-conformer-600m-multilingual (0.6B parameters, about 1.8 GB at 4-bit before context; commercial use allowed)
distil-large-v3 (0.8B parameters, about 1.9 GB at 4-bit before context; commercial use allowed)
whisper-medium (0.8B parameters, about 1.9 GB at 4-bit before context; commercial use allowed)
07
Questions people ask
How much memory does nemotron-speech-streaming-en-0.6b need?
About 1.8 GB at 4-bit, 2.2 GB at 8-bit and 2.7 GB at full 16-bit precision, including about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can nemotron-speech-streaming-en-0.6b run on a 24 GB graphics card?
Yes, at BF16 by this estimate, with room left for context.
Is nemotron-speech-streaming-en-0.6b free for commercial use?
Its card lists a custom licence (nvidia-open-model-license), which sets its own terms; read it before any commercial use. Read the licence itself before relying on this summary; it is not legal advice.
08
What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.