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    <title>NVIDIA — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/companies/nvidia/</link>
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    <description>Dated, sourced news items in the USASI catalog that mention NVIDIA. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Wed, 21 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>NVIDIA releases Cosmos3-H-Embodied-Nano and Cosmos3-H-Dreams surgical robotics world models</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos3-h-surgical-world-models/</link>
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      <pubDate>Wed, 21 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published two surgical robotics models on Hugging Face whose model cards give a release date of October 20, 2026, both under the NVIDIA Open Model License Agreement. The Cosmos3-H-Embodied-Nano card describes Cosmos3-Nano post-trained on the Open-H-Embodiment surgical robotics data jointly for forward dynamics, inverse dynamics and policy, so one checkpoint can predict robot actions and endoscopic video. The Cosmos3-H-Dreams card describes a real-time, action-conditioned surgical world model for the CMR Surgical Versius system, built on Cosmos3-H-Embodied-Nano and distilled into a few-step autoregressive student that generates endoscopic video from a camera frame and robot commands. Both cards say the Cosmos3-Nano architecture they inherit includes a Qwen3-VL-8B reasoning tower, and the cards describe intended uses in simulation, policy evaluation and synthetic data generation before use on a physical system. USASI has not tested these models.</description>
    </item>
    <item>
      <title>NVIDIA's Isaac Lab 3.0 is generally available with Newton and standalone OV library backends</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-generally-available/</link>
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      <pubDate>Wed, 21 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The Isaac Lab project published v3.0.0 on GitHub on October 20, 2026, and the release notes say Isaac Lab 3.0 is now generally available and is the recommended baseline for new projects and for migrations from Isaac Lab 2.x. The notes describe one task API across multiple physics, rendering and visualization backends, including Newton, a Warp-native physics backend with MuJoCo-Warp, VBD and MPM solver paths, and OV libraries that provide OVPhysX for PhysX and OVRTX for RTX rendering as standalone libraries. They say Isaac Sim remains available for workflows that need the full PhysX/RTX stack, ROS bridge, XR, livestreaming or Kit tooling, but is now fully optional. The release targets Isaac Sim 6.2, Python 3.12 and PyTorch 2.11 with CUDA 13.0. USASI has not tested this release.</description>
    </item>
    <item>
      <title>llm-d 1.0 released with flow control, router high availability and a v1 configuration API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/llm-d-1-0-released/</link>
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      <pubDate>Tue, 20 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 20, 2026 llm-d project contributors announced llm-d 1.0, a release of the open distributed inference project that an IBM newsroom announcement says was founded in 2025 by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA and is now governed by the Cloud Native Computing Foundation (CNCF). The v1.0.0 release notes on GitHub list priority- and fairness-aware flow control with controlled load shedding, router high availability with hot standby and safe rolling updates, and the router configuration API graduating to v1. The notes also say the disaggregated prefill-decode guide now requires LeaderWorkerSet v0.11.1 or newer. The announcement says Google Cloud is integrating llm-d 1.0 into Google Kubernetes Engine; it does not give a date for the CNCF governance change. USASI has not tested this release.</description>
    </item>
    <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>
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      <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>
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      <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 and Cisco announce plans for USFP, a pluggable optics form factor, and an open specification</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-and-cisco-announce-usfp-optics-form-factor/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>On October 12, 2026 NVIDIA and Cisco announced plans for Ultra-Dense Small Form Factor Pluggable (USFP), an optical module form factor designed for 400Gb/s-per-lane electrical signals. The companies say they plan to create an open industry specification for USFP through an upcoming community-led multi-source project, and that they are working with TE Connectivity and Amphenol on USFP cages, connectors, and modules. The release describes the first USFP-based transceivers as planned and gives no availability date; the specification has not yet been published.</description>
    </item>
    <item>
      <title>NVIDIA contributes Vera Rubin rack and compute tray designs to the Open Compute Project</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-contributes-vera-rubin-designs-to-ocp/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>In an October 12, 2026 blog post tied to the OCP Global Summit, NVIDIA said it contributed Vera Rubin rack and compute tray designs to the Open Compute Project through its MGX architecture. The post says NVIDIA joined AMD, Google, and Meta at OCP to publish a new open specification, and describes the Open Data Center Specification v0.7 as a blueprint for AI factory facility design. It says the OCP Grid Resilience Specification was published by Google, Meta, Microsoft, and NVIDIA, and that NVIDIA expanded DSX OS with open-source components for configuring networks and validating clusters, without naming a license for them. USASI has not reviewed the contributed designs or specifications.</description>
    </item>
    <item>
      <title>White House science summit lists industry partners in the Genesis Mission Consortium</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</guid>
      <pubDate>Sun, 11 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>On October 8, 2026 the White House published a fact sheet on science initiatives announced at its &quot;Science: A New Golden Age&quot; summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order.</description>
    </item>
    <item>
      <title>NVIDIA releases Kumo Tabular, an open-weight model for predictions on tables</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-kumo-tabular/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-kumo-tabular/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Kumo Tabular on September 29, 2026: a pretrained model for classification and regression on tabular data that takes labeled example rows as context and predicts values for new rows without task-specific training. It comes in three sizes, from 28 million to 215 million parameters, and NVIDIA says it was pretrained entirely on artificial tables. The weights are on Hugging Face under the OpenMDW-1.1 license, and inference runs through NVIDIA's open-source structured-data-models library.</description>
    </item>
    <item>
      <title>NVIDIA launches Open Agent Safety Platform, pairing open-source OpenShell with a Sentry reference design</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced the NVIDIA Open Agent Safety Platform on September 28, 2026, describing it as an open software platform and reference system design to strengthen AI security from agent testing to deployment. It consists of NVIDIA OpenShell, open-source runtime software that traces agent actions and enforces policy, and NVIDIA Sentry, a reference design for an out-of-band watchdog that runs on BlueField-4 DPUs and can quarantine agents that attempt to move outside their boundaries. NVIDIA says the platform software, including OpenShell and skills, is available through its developer resources page and GitHub, and describes Sentry as built on NVIDIA DOCA software. USASI has not tested OpenShell.</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>NVIDIA Dynamo 1.5.0 adds custom worker-selection policies and deprecates KVBM</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Dynamo v1.5.0, a feature release of its open-source distributed inference platform, on GitHub on September 21, 2026. The release notes say worker selection in Dynamo Router is now pluggable through custom scoring and picking policies, and that KV indexing extends to Mooncake and disk tiers. KVBM is deprecated, with removal targeted for v1.7.0. On Kubernetes, nvidia.com/v1beta1 becomes the CRD storage version, the Rust Endpoint Picker replaces the Go version, and Dynamo Snapshot moves to a standalone operator. The notes list SGLang v0.5.18, TensorRT-LLM v1.3.0rc25 and vLLM v0.28.0 as the engine versions. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Isaac Lab 3.0 Early Access published with multi-backend physics and kit-less workflows</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The Isaac Lab project published Isaac Lab 3.0 Early Access on GitHub on September 16, 2026. The release notes describe a multi-backend architecture in which supported tasks can switch physics, rendering or visualization backends without rewriting the environment, and say many workflows can now run without installing or launching Isaac Sim, for example with Newton physics. The release is built for Isaac Sim 6.1, Python 3.12, PyTorch 2.11, NVIDIA Warp 1.16 and Newton 1.5.2. Between Early Access and General Availability, which is targeted toward the end of October 2026, the release branch will focus only on bug fixes, stability, compatibility and documentation improvements. USASI has not tested this release.</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 adds CUDA-Q Logical, a fault-tolerant quantum orchestration layer, to open-source CUDA-Q</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced on September 14, 2026 that its open-source CUDA-Q platform now includes CUDA-Q Logical, an orchestration layer for designing and testing applications for fault-tolerant quantum computers that use logical qubits. NVIDIA says CUDA-Q Logical is available through GitHub. The announcement also says that QUOPS, a cross-platform benchmark developed by Sandia National Laboratories to measure progress toward utility-scale quantum applications, has a reference implementation available in CUDA-Q. USASI has not tested CUDA-Q Logical.</description>
    </item>
    <item>
      <title>The NVIDIA-founded Open Secure AI Alliance moves to the Linux Foundation</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>The Linux Foundation announced on September 14, 2026 that the Open Secure AI Alliance, which NVIDIA established in collaboration with members including the Linux Foundation, has joined the Linux Foundation as a neutral home. The announcement says the alliance's work will run alongside existing Linux Foundation security communities, including the Open Source Security Foundation (OpenSSF). It names the Shared AI Findings Exchange (SAFE), an effort to collect and analyze findings from AI security incidents, as a core initiative, and invited contributions to the SAFE proposal until September 21.</description>
    </item>
    <item>
      <title>NVIDIA agrees to acquire Hugging Face; the deal has not yet closed</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/</link>
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      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>NVIDIA entered into a definitive agreement to acquire Hugging Face, Inc. on September 2, 2026, and announced it the next day. NVIDIA's Form 8-K says the transaction is expected to close in the first half of 2027, subject to closing conditions including regulatory approvals, so Hugging Face is still listed as a privately held company with no parent organization. NVIDIA says the Hugging Face platform will stay open to models from other developers and will not require NVIDIA hardware.</description>
    </item>
    <item>
      <title>NVIDIA releases CUDA Python 1.0 with semantic versioning commitments</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced CUDA Python 1.0 on its technical blog on August 25, 2026, saying it released the milestone with CUDA 13.3 and that Python is now a supported way to use the CUDA platform. The post says 1.0 is a milestone rather than a single package version: components such as cuda.core 1.0.0, cuda.compute 1.0.0 and nvmath-python 1.0 are versioned independently, and what changes with 1.0 is a commitment to semantic versioning. NVIDIA notes that some newer pieces, including the Numba CUDA MLIR kernel generator, are not yet covered by that commitment. USASI has not tested these libraries.</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 NeMo Speech 3.0, the first major release after the NeMo repository split</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published NeMo Speech 3.0 on GitHub on August 7, 2026. The release notes call it the first major release after the repository was split and renamed to NVIDIA-NeMo/Speech, which now focuses on ASR, TTS, audio processing, speaker tasks and SpeechLM, while LLM, VLM, diffusion, export and evaluator collections have moved to separate repositories. The notes say the release's central focus is technical debt, including the removal of deprecated code and a migration to the uv package manager. They also list support for training SpeechLM models with NeMo Automodel and the training and evaluation modules behind Nemotron VoiceChat. USASI has not tested this release.</description>
    </item>
    <item>
      <title>NVIDIA and inaugural partners launch the Open Secure AI Alliance for open AI security tools</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>NVIDIA announced the Open Secure AI Alliance on July 27, 2026, describing it as an effort to develop and share open technologies, techniques and tools to safeguard software and AI agents. The inaugural partners NVIDIA lists include Cisco, Dell Technologies, HPE, Intel, Anyscale, Crusoe, Fireworks AI and the Linux Foundation, and NVIDIA says the alliance builds on the Linux Foundation's Akrites initiative and OpenSSF community work. NVIDIA says it is contributing open models, model weights, data and agent harness research, and that its open-source NVIDIA Labs Object-Oriented Agent (NOOA) research framework is available on GitHub. NVIDIA also names HPE's contributions to the SPIFFE/SPIRE identity framework among the alliance's work.</description>
    </item>
    <item>
      <title>NVIDIA releases Cosmos3-Edge, a 4B omnimodal world model, under OpenMDW-1.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model card gives July 20, 2026 as the release date of Cosmos3-Edge, a 4B-parameter model in the Cosmos3 collection, on both Hugging Face and GitHub. The card describes Cosmos3 as omnimodal world models built on a Mixture-of-Transformers architecture that take text, image, video and action-trajectory inputs and generate text, images, video and action outputs for physical AI uses such as robotics and autonomous vehicles. The model is released under OpenMDW-1.1 and is described as ready for commercial and non-commercial use. A note on the card says the generator checkpoint and runtime defaults were updated on August 25, 2026. 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>
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