<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>NVIDIA Nemotron — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/open/nemotron/</link>
    <atom:link href="https://unitedstatesofamericasuperintelligence.com/open/nemotron/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Dated, sourced news items in the USASI catalog that mention NVIDIA Nemotron. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Sat, 17 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>NVIDIA releases Nemotron Labs Dory1.0-4B, a looped language model, under OpenMDW-1.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-labs-dory-1-0-4b/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-labs-dory-1-0-4b/</guid>
      <pubDate>Sat, 17 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B open models under OpenMDW-1.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-super-vl-and-bolt/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-super-vl-and-bolt/</guid>
      <pubDate>Sat, 17 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Diarization, an open-weight speaker diarization model</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>Salesforce and NVIDIA announce Koa, a CRM reasoning model post-trained from NVIDIA Nemotron 3 Super</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3.5 Lightning, an open 30B mixture-of-experts model for agents</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Embed multilingual text embedding models in 1B and 8B sizes</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model cards give July 16, 2026 as the release date of Nemotron-3-Embed-8B-BF16 and Nemotron-3-Embed-1B-BF16, text embedding models for retrieval and semantic similarity in retrieval-augmented generation systems. The cards say the models were evaluated across 34 languages and output 4096-dimensional (8B) and 2048-dimensional (1B) vectors that can be shortened by slicing and re-normalizing. Both are licensed under OpenMDW-1.1, and the 8B card says it is built with Mistral AI's Ministral-3-8B-Instruct-2512, released under Apache 2.0. USASI has not tested the models.</description>
    </item>
  </channel>
</rss>
