Nemotron Cascade 2 30B A3B
NVIDIA's Nemotron Cascade 2 30B A 3B is an open-source, 30B parameter chat model with 3B activated parameters, delivering strong reasoning and code generation capabilities. It excels in mathematical and coding challenges, as evidenced by its gold medal performance in the 2025 International Mathematical Olympiad and International Olympiad in Informatics.
Input
Output
Context
1000K
Max Output
33K
Parameters
30B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Benchmarks
Resources & Links
Estimated GPU requirements for Nemotron Cascade 2 30B A3B
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 Nemotron Cascade 2 30B A3B
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Nemotron Cascade 2 30B A3B advertises a context window of 1,000,000 tokens, with a maximum output of 32,768 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Nemotron Cascade 2 30B A3B is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
Nemotron Cascade 2 30B A3B accepts Text 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.
Nemotron Cascade 2 30B A3B 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 Nemotron Cascade 2 30B A3B is shown as not available rather than estimated.
Not on the managed pool today; Nemotron Cascade 2 30B A3B 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 29.5 GB at INT8 for the weights and a default context, from the catalog's 30B 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, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 11, 2026
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