Audio model · Oct 28, 2026
Nemotron 3.5 Transcribe is an open-weight speech model that combines audio recordings with text instructions. A parallel audio and speaker encoder feeds a Mamba-2 and Transformer mixture-of-experts decoder with 34 billion total parameters and about 4.3 billion active parameters. NVIDIA lists 40 transcription languages and recordings up to one hour long.
Language model · Oct 23, 2026
Nemotron 3.5 Bolt E4B has 8 billion total parameters and 4 billion effective parameters. It builds on Gemma-4-E4B-it. The BF16 config specifies 65,536 context tokens, and OpenMDW 1.1 governs the model weights.
Language model · Oct 15, 2026
Nemotron 3.5 Bolt 74B A9B is a hybrid MoE model with 74 billion total parameters and 9 billion active parameters. Its BF16 config specifies 262,144 context tokens. It accepts text, images, and video, returns text, and uses OpenMDW 1.1.
Language model · Oct 15, 2026
Nemotron 3.5 Super VL is a multimodal MoE model with 120 billion total parameters and 12 billion active parameters. NVIDIA combines Mamba-2, Transformer layers, 512 routed experts, and a vision encoder. It accepts text, images, and video and returns text.
Specialist model · Sep 29, 2026
Kumo-Tabular is NVIDIA’s tabular foundation model for classification and regression. You provide labeled context examples and query rows, and the model returns class probabilities or regression values. It works on structured tables and is not a System One chat model.
Audio model · Sep 23, 2026
Nemotron-3-Diarization assigns audio segments to up to eight speakers. NVIDIA’s card describes streaming and offline modes, 10 millisecond output resolution, and the OpenMDW-1.1 license.
Language model · Aug 11, 2026
Nemotron 3.5 Lightning uses a 30-billion-parameter MoE with 3 billion active parameters and multi-token prediction. NVIDIA emphasizes English and several programming languages. The checkpoint is therefore aimed at coding and controllable reasoning rather than chat alone.
Language model · Aug 11, 2026
Nemotron 3.5 Lightning 30B A3B is the BF16 checkpoint in the Lightning family. It activates 3 billion of 30 billion parameters and uses the hybrid Mamba2, MoE, and attention architecture with multi-token prediction. The model returns text.
Language model · Jun 4, 2026
Nemotron 3 Ultra combines 550 billion total parameters with 55 billion active parameters in NVIDIA's LatentMoE architecture. Mamba2, MoE, attention, and multi-token prediction form the technical basis. The checkpoint supports ten languages and returns text only.
Language model · Jun 4, 2026
Nemotron 3 Ultra 550B A55B is NVIDIA's BF16 checkpoint in the Ultra tier. Its hybrid LatentMoE architecture combines Mamba2, MoE, and attention with multi-token prediction. It has 550 billion total parameters and activates 55 billion.
Language model · Apr 28, 2026
Nemotron 3 Nano Omni 30B A3B Reasoning adds native audio input to NVIDIA's Nano line. The model handles text, images, video, and audio in one reasoning checkpoint. It activates 3 billion of 30 billion parameters.
Language model · Mar 19, 2026
Nemotron Cascade 2 30B A3B is a post-trained reasoning checkpoint. NVIDIA describes it as developed from a base model in the Nemotron 3 Nano line and provides separate Think and Instruct modes. Its 30 billion total parameters and 3 billion active parameters combine sparse serving with deliberate control over planning.
15 more current models are in the model list above.