NVIDIANVIDIA Nemotron Nano 12B V2 VL BF16
NVIDIA develops the Nvidia Nemotron Nano 12B V 2 VL BF 16, a chat model exceling at multi-modal document intelligence, including visual Q&A, summarization, and multi-image reasoning. Its transformer architecture and large context window of 131,072 tokens enable handling complex inputs, such as multiple images and long text prompts.
Input
Output
Context
131K
Max Output
8K
Parameters
13.2B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Benchmarks
Resources & Links
Estimated GPU requirements for NVIDIA Nemotron Nano 12B V2 VL BF16
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about NVIDIA Nemotron Nano 12B V2 VL BF16
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
NVIDIA Nemotron Nano 12B V2 VL BF16 advertises a context window of 131,072 tokens, with a maximum output of 8,000 tokens in a single response. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. NVIDIA Nemotron Nano 12B V2 VL BF16 is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
NVIDIA Nemotron Nano 12B V2 VL BF16 accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
NVIDIA Nemotron Nano 12B V2 VL BF16 has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured NVIDIA Nemotron Nano 12B V2 VL BF16 is shown as not available rather than estimated.
Not on the managed pool today; NVIDIA Nemotron Nano 12B V2 VL BF16 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 13.3 GB at INT8 for the weights and a default context, from the catalog's 13.2B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Oct 16, 2026
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