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Run it on your own hardware · updated 2026-10-16

Nemotron-3-Nano-30B-A3B
How much memory it needs, what its licence allows, and whether it fits an office box.

Short answer. Nemotron-3-Nano-30B-A3B needs about 20 GB of memory at 4-bit, 35 GB at 8-bit and 65 GB at full 16-bit precision, including runtime overhead and an 8,192-token KV cache. It has about 31.6 billion parameters and a 262,144-token context window. Licence in short: custom licence: check before commercial use. By memory alone, on ANVE’s launch configurations: ANVE One fits at 8-bit, ANVE Office fits at 4-bit, ANVE Office Pro (GPU) fits at 4-bit. These are estimates from its published size, not benchmarks.

01

What it is

Nemotron-3-Nano-30B-A3B is a language model for chat, drafting and question answering, published by NVIDIA on Hugging Face on 4 December 2025. It has about 31.6 billion parameters and a configured context window of 262,144 tokens. It is a mixture-of-experts model: 128 experts, 6 used for each token, so only about 3B parameters are active at a time.

Its card lists the licence as a custom licence (nvidia-nemotron-open-model-license). In short, the licence sets its own terms; read it before any commercial use.

Hugging Face counted about 907,061 downloads of it in the 30 days before we checked (7 Oct 2026), and 825 people have liked it there.

The card lists 6 languages: en, es, fr, de, ja, it (ISO codes as given on the card).

02

How much memory it needs

We size it the way you would size any model: the weights (parameters × bits ÷ 8), the KV cache for 8,192 tokens of context, and roughly 1.5 GB for the runtime itself. Real use varies with settings.

Each token of context adds about 0.05 MB of KV cache at 16-bit, so 32,768 tokens would add about 1.7 GB.

PrecisionWeightsKV cache (8,192 tokens)Total, estimated
BF16 (full precision)63 GB0.44 GB65 GB
8-bit (Q8_0)34 GB0.44 GB35 GB
4-bit (Q4_K)18 GB0.44 GB20 GB
03

Architecture at a glance

SettingValue in config.json
Architecture classNemotronHForCausalLM
Model typenemotron_h
Layers52
Hidden size2,688
Attention heads32
Key-value heads2 (grouped-query attention)
Head size128
Vocabulary131,072
Experts128, 6 active per token
Configured context262,144
Stored precisionbfloat16
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 modelVerdict
ANVE Oneabout 48 GB of 64 GB unified memoryfits at 8-bit
ANVE Office24 GB on the RTX PRO 4000 Blackwell SFF Editionfits at 4-bit
ANVE Office Pro (GPU)24 GB on the RTX PRO 4000 Blackwellfits at 4-bit
05

What an office would use it for

This is the class ANVE runs by default (27B-class): strong enough for meeting minutes, summaries, drafting and question answering over an office’s own documents, and small enough for one box.

06

Variants with the same size

  • Nemotron-3.5-Lightning-30B-A3B: a faster variant that trades some quality for speed (same parameter count, so the memory figures above apply).
07

Similar models to compare

  • GLM-4.7-Flash (31.2B parameters, about 19 GB at 4-bit before context; commercial use allowed)
  • sarvam-30b (32.2B parameters, about 20 GB at 4-bit before context; commercial use allowed)
  • granite-4.0-h-small (32.2B parameters, about 20 GB at 4-bit before context; commercial use allowed)
08

Questions people ask

How much memory does Nemotron-3-Nano-30B-A3B need?
About 20 GB at 4-bit, 35 GB at 8-bit and 65 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can Nemotron-3-Nano-30B-A3B run on a 24 GB graphics card?
Yes, at 4-bit by this estimate, with room left for context.
Is Nemotron-3-Nano-30B-A3B free for commercial use?
Its card lists a custom licence (nvidia-nemotron-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.
What is Nemotron-3-Nano-30B-A3B’s context window?
Its configuration sets 262,144 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.
09

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.