NVIDIA Nemotron

NVIDIA describes the tiers as ranging from efficient sub-agents and high-volume task execution to multi-agent reasoning and complex agentic tasks.13

• NVIDIA

1. Oct 16, 2026 · Release

   NVIDIA releases Nemotron Labs Dory1.0-4B, a looped language model, under OpenMDW-1.1

   NVIDIA published NVIDIA-Nemotron-Labs-Dory1.0-4B on Hugging Face with a model card that gives a release date of October 16, 2026 and the OpenMDW License Agreement, version 1.1 as its license. The card describes a 4B-parameter looped (latent-recurrent) language model that applies a shared block of layers repeatedly, so that a single checkpoint can serve different inference compute budgets by changing the loop count. It says the model was pre-trained natively in NVFP4 before continuing in BF16, supports up to 256K tokens of context, lists English as the supported language, and is available in BF16, MXFP8, NVFP4, and Q5_K_M formats. USASI has not tested this model.

   • NVIDIA
   • NVIDIA Nemotron

2. Oct 15, 2026 · Release

   NVIDIA releases Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B open models under OpenMDW-1.1

   On October 15, 2026 NVIDIA released Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B 24GB, and said a third model, Nemotron 3.5 Bolt E4B 4GB, is coming October 23. The Super VL model card lists 120B total and 12B active parameters, a context length of up to 1M tokens, and text, image, and video input with text output. The Bolt 74B-A9B 24GB model card describes a vision-language model with 74B total and 9B active parameters that uses a native 2-bit quantization to fit in 24GB of memory, with a context length of up to 256K tokens. Both model cards give a Hugging Face release date of October 15, 2026 and name the OpenMDW License Agreement, version 1.1 as the governing license. USASI has not tested these models.

   • NVIDIA
   • NVIDIA Nemotron

3. Sep 23, 2026 · Release

   NVIDIA releases Nemotron 3 Diarization, an open-weight speaker diarization model

   NVIDIA released Nemotron 3 Diarization on September 23, 2026. The model identifies which speaker is talking at each point in an audio recording, for up to eight speakers, and can run on streaming audio as well as complete recordings. It is a Transformer encoder with about 100 million parameters, built with NVIDIA's NeMo speech tools. The weights are on Hugging Face under the OpenMDW License Agreement, version 1.1, and the model card says they are ready for commercial and non-commercial use.

   • NVIDIA
   • NVIDIA Nemotron

4. Sep 15, 2026 · Release

   Salesforce and NVIDIA announce Koa, a CRM reasoning model post-trained from NVIDIA Nemotron 3 Super

   On September 15, 2026 Salesforce and NVIDIA announced Koa, which it calls its first CRM reasoning model, built to help Agentforce agents reason through multistep workflows and use the right tools. Salesforce says Koa is a post-trained version of NVIDIA Nemotron 3 Super, trained with supervised fine-tuning and reinforcement learning on a proprietary synthetic dataset, and that no customer data was used in training. Koa is available to select pilot customers in Agentforce, with general availability expected in winter 2026 in U.S. regions. Salesforce says it controls the model weights and runs Koa within its own infrastructure as a Salesforce-hosted option; the announcement does not say that the weights will be released. USASI has not tested Koa.

   • Salesforce
   • NVIDIA
   • NVIDIA Nemotron

5. Aug 11, 2026 · Release

   NVIDIA releases Nemotron 3.5 Lightning, an open 30B mixture-of-experts model for agents

   NVIDIA's Hugging Face model card gives August 11, 2026 as the release date of NVIDIA-Nemotron-3.5-Lightning-30B-A3B, a model with 30B total and 3B active parameters built on a hybrid of Mamba-2, mixture-of-experts and attention layers, with reasoning that can be switched on or off through the chat template. The card lists the OpenMDW License Agreement, version 1.1, and points to a separate NVFP4 checkpoint for optimized inference. NVIDIA's developer blog says the model is designed for the high-volume execution work of long-running agents, ships with DFlash and DSpark draft models for speculative decoding, and is released with an open reinforcement learning dataset, Nemotron-RL Agentic Terminal Pivot. USASI has not tested the model.

   • NVIDIA
   • NVIDIA Nemotron

• ExplainerWhat open weight and open source actually mean
• ExplainerHow to read a model card
• ExplainerPretraining, fine-tuning, and post-training
• ExplainerUnderstanding training data disclosures

1. 1.
   NVIDIA Nemotron (external site: developer.nvidia.com)

   NVIDIA · Official page · accessed Sep 29, 2026

2. 2.
   NVIDIA Nemotron v3 collection (external site: huggingface.co)

   NVIDIA (Hugging Face) · Model card · accessed Sep 29, 2026

3. 3.
   NVIDIA Nemotron Developer Repository README (external site: raw.githubusercontent.com)

   NVIDIA (GitHub) · Repository · accessed Sep 29, 2026

4. 4.
   NVIDIA Corporation Form 10-Q for the quarter ended July 26, 2026 (external site: sec.gov)

   U.S. Securities and Exchange Commission (EDGAR) · Filing · published Aug 26, 2026 · accessed Sep 29, 2026