NVIDIA announced an expanded family of open models across language, robotics, biology and quantum computing—including Nemotron 3.5 Super VL/Bolt, Nemotron Retriever, Kumo, Cosmos 3.5, Alpamayo 2 Edge, BioNeMo and Ising—to help European organizations build sovereign, locally customized AI applications.
<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries</span></p>
<p><span style="font-weight: 400;">The portfolio includes the new </span><a href="https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/"><span style="font-weight: 400;">NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt</span></a><span style="font-weight: 400;"> models; new </span><a target="_blank" href="https://huggingface.co/blog/nvidia/nemotron-retriever-world-class-agentic-retrieval"><span style="font-weight: 400;">NVIDIA Nemotron Retriever</span></a><span style="font-weight: 400;"> models for embedding, reranking and document parsing; the new </span><a target="_blank" href="https://developer.nvidia.com/topic/ai/agent-knowledge-foundation/kumo/"><span style="font-weight: 400;">NVIDIA Kumo</span></a><span style="font-weight: 400;"> family open weight foundation models and libraries for structured business data; </span><a target="_blank" href="https://www.nvidia.com/en-us/ai/cosmos/"><span style="font-weight: 400;">NVIDIA Cosmos</span></a><span style="font-weight: 400;"> 3.5 world models; </span><a target="_blank" href="https://www.nvidia.com/en-us/solutions/autonomous-vehicles/alpamayo/"><span style="font-weight: 400;">NVIDIA Alpamayo</span></a><span style="font-weight: 400;"> 2 Edge for autonomous vehicles; </span><a target="_blank" href="https://github.com/NVIDIA-BioNeMo"><span style="font-weight: 400;">NVIDIA BioNeMo</span></a><span style="font-weight: 400;"> for healthcare and scientific discovery; and </span><a target="_blank" href="https://developer.nvidia.com/ising"><span style="font-weight: 400;">NVIDIA Ising</span></a><span style="font-weight: 400;"> for quantum computing. </span></p>
<p><span style="font-weight: 400;">The open models give organizations a foundation they can customize with local data and deploy on infrastructure they control.</span></p>
<div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div>
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<h2><b>NVIDIA Nemotron Powers Post-Training Across Industries</b></h2>
<p><span style="font-weight: 400;">NVIDIA Nemotron brings open language models, datasets and recipes to developers building agents. The models support text and images, helping agents orchestrate workflows, reason through complex problems and complete specialized tasks at a lower cost. Nemotron models are built with data, research and expertise from the </span><a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-launches-nemotron-coalition-of-leading-global-ai-labs-to-advance-open-frontier-models"><span style="font-weight: 400;">NVIDIA Nemotron Coalition</span></a><span style="font-weight: 400;">, including European partners </span><span style="font-weight: 400;">Black Forest Labs</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">H-Company</span><span style="font-weight: 400;"> and </span><span style="font-weight: 400;">Mistral</span><span style="font-weight: 400;">.</span></p>
<p><span style="font-weight: 400;">Nemotron provides a foundation for enterprises to build applications based on their own knowledge and expertise. </span><a target="_blank" href="https://blog.3ds.com/topics/company-news/long-running-agents"><span style="font-weight: 400;">Dassault Systèmes</span></a><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Domyn</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Dream</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Palantir’s customers</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Salesforce</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">SAP</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Shopify</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Synopsys</span><span style="font-weight: 400;"> and </span><a target="_blank" href="https://research.wpp.com/blog/crossing-the-real-time-agentic-threshold-benchmarking-nemotron-3-5-super-vl-on-google-cloud-a5x-powered-by-nvidia-vera-rubin-nvl72"><span style="font-weight: 400;">WPP</span></a><span style="font-weight: 400;">, as well as professional services providers like </span><span style="font-weight: 400;">Accenture </span><span style="font-weight: 400;">and </span><span style="font-weight: 400;">EY,</span><span style="font-weight: 400;"> are working with Nemotron models and datasets to create custom models and build domain-specific agents.</span></p>
<p><span style="font-weight: 400;">A broad ecosystem of post-training partners, including </span><span style="font-weight: 400;">AfterQuery</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">AgileRL</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">AI21</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Alice</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Applied Compute</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Baseten</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">CoreWeave</span><span style="font-weight: 400;">,</span> <span style="font-weight: 400;">Distil Labs</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">EON</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Fastino</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Fireworks</span><span style="font-weight: 400;">,</span> <span style="font-weight: 400;">Google Cloud, Mercor</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Multiverse Computing</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Nebius</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Handshake AI</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Plurai</span><span style="font-weight: 400;">,</span> <span style="font-weight: 400;">Prime Intellect</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">River.AI,</span> <span style="font-weight: 400;">Scale AI</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Trajectory</span><span style="font-weight: 400;"> and </span><span style="font-weight: 400;">TNG,</span><span style="font-weight: 400;"> is helping enterprises customize Nemotron for domain-specific workloads.</span></p>
<h2><b>NVIDIA Kumo Speeds Agents’ Work With Structured Enterprise Data</b></h2>
<p><a target="_blank" href="https://developer.nvidia.com/topic/ai/agent-knowledge-foundation/kumo/"><span style="font-weight: 400;">NVIDIA Kumo</span></a><span style="font-weight: 400;"> open foundation models, libraries and tools help agents and applications forecast outcomes, score fraud risk and recommend actions from structured business data. Part of </span><a target="_blank" href="https://developer.nvidia.com/topics/ai/agent-knowledge-foundation"><span style="font-weight: 400;">NVIDIA Agent Knowledge Foundation</span></a><span style="font-weight: 400;">, Kumo shortens time to prediction and reduces the cost and complexity of building a separate machine learning pipeline for every task.</span></p>
<p><span style="font-weight: 400;">Developers can use pretrained Kumo models to bring predictions to more applications quickly, then fine-tune them using proprietary data when higher performance is critical. The portfolio includes </span><a target="_blank" href="https://huggingface.co/collections/nvidia/nvidia-kumo-structured"><span style="font-weight: 400;">NVIDIA Kumo Structured</span></a><span style="font-weight: 400;">, with models for relational and tabular prediction, forecasting and anomaly detection, and </span><a target="_blank" href="https://github.com/NVIDIA/kumo-engine"><span style="font-weight: 400;">NVIDIA Kumo Engine</span></a><span style="font-weight: 400;">, an open library stack for developing and deploying structured data foundation models. </span></p>
<p><a target="_blank" href="https://www.cognite.com/en/partners/nvidia"><span style="font-weight: 400;">Cognite</span></a><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Coinbase</span><span style="font-weight: 400;">,</span><span style="font-weight: 400;"> Databricks</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">DoorDash</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Revolut</span><span style="font-weight: 400;"> and </span><span style="font-weight: 400;">Tubi</span><span style="font-weight: 400;"> are among the first to work with Kumo models to accelerate development. </span><span style="font-weight: 400;">Snowflake </span><span style="font-weight: 400;">customers are already using Kumo models to accelerate AI development in industries including advertising, energy, financial services and retail.</span></p>
<h2><b>NVIDIA Cosmos Accelerates Robotics Training and Simulation</b></h2>
<p><span style="font-weight: 400;">NVIDIA Cosmos is a family of open world foundation models that helps developers build robots, autonomous vehicles and vision agents that understand and interact with the physical world. </span></p>
<p><span style="font-weight: 400;">NVIDIA is introducing </span><span style="font-weight: 400;">new Cosmos post-training and optimization tools</span><span style="font-weight: 400;"> to help developers improve world models using less compute, along with simulation checkpoints for evaluating behavior in interactive driving and robotic manipulation scenarios before real-world testing.</span></p>
<p><span style="font-weight: 400;">NVIDIA is also introducing Cosmos Data Factory — comprising blueprints and core agent skills — to help developers curate, label, generate and evaluate training data for driving scenarios, product defects, image augmentation and event generation. Developers can use complete workflows or individual capabilities with agents coordinating the process. </span></p>
<p><span style="font-weight: 400;">Porsche</span><span style="font-weight: 400;"> with </span><span style="font-weight: 400;">Voxel51</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">ANYbotics</span><span style="font-weight: 400;"> with </span><span style="font-weight: 400;">Encord</span><span style="font-weight: 400;">, </span><span style="font-weight: 400;">Zalando </span><span style="font-weight: 400;">and </span><span style="font-weight: 400;">CEVA Logistics</span><span style="font-weight: 400;"> with </span><span style="font-weight: 400;">Sereact</span><span style="font-weight: 400;">, and </span><a target="_blank" href="https://news.siemens.com/en-us/siemens-nvidia-pcba-digital-twin-factory/"><span style="font-weight: 400;">Siemens</span></a><span style="font-weight: 400;"> are using Cosmos Data Factory to create high-quality, diverse training datasets and improve model precision.</span></p>
<h2><b>NVIDIA Alpamayo 2 Brings Real-Time Reasoning to Autonomous Vehicles</b></h2>
<p><span style="font-weight: 400;">NVIDIA Alpamayo 2 Edge is a compact reasoning model that brings real-time scene understanding and motion planning directly into autonomous vehicles. Built on NVIDIA Cosmos 3 Edge’s Nemotron-based foundation and optimized for the NVIDIA DRIVE AGX Thor platform, it helps developers bring advanced driving capabilities into vehicles with lower computing requirements.</span></p>
<h2><b>NVIDIA BioNeMo RFD4-Proteina Advances Protein Design </b></h2>
<p><span style="font-weight: 400;">NVIDIA BioNeMo RFD4-Proteina is an open protein design model from NVIDIA and the </span><span style="font-weight: 400;">Baker Lab at the University of Washington’s Institute for Protein Design.</span><span style="font-weight: 400;"> </span></p>
<p><span style="font-weight: 400;">The model generates protein sequences and 3D structures to help researchers design proteins that bind to difficult targets, assemble into complex structures and bind to small molecules. </span></p>
<p><span style="font-weight: 400;">NVIDIA BioNeMo RFD4-Proteina delivers leading performance across more than 10 protein design tasks and generates designs about 13x faster than RFdiffusion3 in a benchmark of 200 amino acid proteins. Researchers can use the model through agents to generate and evaluate candidates against design goals and molecular constraints, then choose which designs to test in the lab. </span></p>
<h2><b>NVIDIA Ising Accelerates Quantum Development</b></h2>
<p><span style="font-weight: 400;">The NVIDIA Ising family of open models provides a common, extensible foundation to speed the breakthroughs needed to develop useful quantum supercomputers, from real-time hardware calibration to error correction, across different qubit modalities and tailored to individual hardware needs. </span></p>
<p><span style="font-weight: 400;">IQM Quantum Computers</span><span style="font-weight: 400;"> is using Ising to calibrate its quantum processors, showcasing how specialized open calibration models outperform large general-purpose models. </span><span style="font-weight: 400;">SEEQC</span><span style="font-weight: 400;"> is combining the NVIDIA NVQLink platform and Ising with its unique Digital Link to meet the low-latency requirements needed for real-time quantum error correction.</span></p>
<p><a target="_blank" href="https://aws.amazon.com/blogs/quantum-computing/decoding-quantum-errors-with-nvidia-ising-decoding-on-aws/"><span style="font-weight: 400;">AWS</span></a><span style="font-weight: 400;"> is making NVIDIA Ising readily available to researchers by integrating the model family into AWS Parallel Computing Service (AWS PCS). While decoding is typically performed on classical hardware colocated with the quantum processor due to latency requirements, the AWS PCS integration lets researchers build on Ising prior to deployment.</span></p>
<h2><b> Availability</b></h2>
<ul>
<li><b>NVIDIA Nemotron 3.5 Super VL </b><span style="font-weight: 400;">is available on </span><a target="_blank" href="https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4"><span style="font-weight: 400;">Hugging Face</span></a><span style="font-weight: 400;">, </span><a target="_blank" href="https://modelscope.ai/collections/nv-community/Nemotron-35-Lightning"><span style="font-weight: 400;">ModelScope</span></a><span style="font-weight: 400;">, </span><a target="_blank" href="https://openrouter.ai/nvidia/nemotron-3.5-lightning:free"><span style="font-weight: 400;">OpenRouter</span></a><span style="font-weight: 400;"> and </span><a target="_blank" href="https://build.nvidia.com/nvidia/nemotron-3.5-lightning-30b-a3b"><span style="font-weight: 400;">build.nvidia.com</span></a><span style="font-weight: 400;"> as an NVIDIA NIM microservice, as well as through NVIDIA cloud, post-training and inference partners. </span><b>Nemotron 3.5 Bolt</b><span style="font-weight: 400;"> E4B 4GB is expected to be available on Friday, Oct. 23.</span></li>
<li><b>NVIDIA Nemotron Retriever</b><span style="font-weight: 400;"> open models are available on </span><a target="_blank" href="https://huggingface.co/collections/nvidia/nemotron-retriever"><span style="font-weight: 400;">Hugging Face</span></a><span style="font-weight: 400;">, various partner platforms, and as an NVIDIA NIM microservice on </span><a target="_blank" href="https://build.nvidia.com/explore/retrieval"><span style="font-weight: 400;">build.nvidia.com</span></a><span style="font-weight: 400;">.</span></li>
<li><b>NVIDIA Kumo</b><span style="font-weight: 400;"> open models are available on </span><a target="_blank" href="https://huggingface.co/collections/nvidia/nvidia-kumo-structured"><span style="font-weight: 400;">Hugging Face</span></a><span style="font-weight: 400;"> and optimized and packaged as an NVIDIA NIM microservice for production inference on </span><a target="_blank" href="https://build.nvidia.com/explore/predictive-ai"><span style="font-weight: 400;">build.nvidia.com</span></a><span style="font-weight: 400;">.</span></li>
<li><b>NVIDIA Cosmos</b><span style="font-weight: 400;"> is now openly available on </span><a target="_blank" href="https://huggingface.co/collections/nvidia/cosmos3"><span style="font-weight: 400;">Hugging Face</span></a><span style="font-weight: 400;"> and </span><a target="_blank" href="https://github.com/nvidia/Cosmos"><span style="font-weight: 400;">GitHub</span></a><span style="font-weight: 400;">, and through select inference partners.</span></li>
<li><b>NVIDIA Alpamayo 2 Edge</b><span style="font-weight: 400;"> will be available for download on GitHub and Hugging Face later this month.</span></li>
<li><span style="font-weight: 400;">The </span><b>NVIDIA BioNeMo </b><span style="font-weight: 400;">open model RFD4-Proteina is available on </span><a target="_blank" href="http://build.nvidia.com"><span style="font-weight: 400;">build.nvidia.com</span></a><span style="font-weight: 400;"> and as an NVIDIA NIM microservice, as well as on GitHub, Hugging Face and through select inference partners. </span></li>
<li><b>NVIDIA Ising </b><span style="font-weight: 400;">is available on GitHub, Hugging Face and </span><a target="_blank" href="http://build.nvidia.com"><span style="font-weight: 400;">build.nvidia.com</span></a><span style="font-weight: 400;">.</span></li>
</ul>
<p><i><span style="font-weight: 400;">See </span></i><a target="_blank" href="https://www.nvidia.com/en-eu/about-nvidia/terms-of-service/"><i><span style="font-weight: 400;">notice</span></i></a><i><span style="font-weight: 400;"> regarding software product information.</span></i><span style="font-weight: 400;"> </span></p>
<div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div>
<p> </p>
# NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
Source: [https://blogs.nvidia.com/blog/open-models-europe-industry/](https://blogs.nvidia.com/blog/open-models-europe-industry/)
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries
The portfolio includes the new[NVIDIA Nemotron 3\.5 Super VL and Nemotron 3\.5 Bolt](https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/)models; new[NVIDIA Nemotron Retriever](https://huggingface.co/blog/nvidia/nemotron-retriever-world-class-agentic-retrieval)models for embedding, reranking and document parsing; the new[NVIDIA Kumo](https://developer.nvidia.com/topic/ai/agent-knowledge-foundation/kumo/)family open weight foundation models and libraries for structured business data;[NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/)3\.5 world models;[NVIDIA Alpamayo](https://www.nvidia.com/en-us/solutions/autonomous-vehicles/alpamayo/)2 Edge for autonomous vehicles;[NVIDIA BioNeMo](https://github.com/NVIDIA-BioNeMo)for healthcare and scientific discovery; and[NVIDIA Ising](https://developer.nvidia.com/ising)for quantum computing\.
The open models give organizations a foundation they can customize with local data and deploy on infrastructure they control\.
## **NVIDIA Nemotron Powers Post\-Training Across Industries**
NVIDIA Nemotron brings open language models, datasets and recipes to developers building agents\. The models support text and images, helping agents orchestrate workflows, reason through complex problems and complete specialized tasks at a lower cost\. Nemotron models are built with data, research and expertise from the[NVIDIA Nemotron Coalition](https://nvidianews.nvidia.com/news/nvidia-launches-nemotron-coalition-of-leading-global-ai-labs-to-advance-open-frontier-models), including European partnersBlack Forest Labs,H\-CompanyandMistral\.
Nemotron provides a foundation for enterprises to build applications based on their own knowledge and expertise\.[Dassault Systèmes](https://blog.3ds.com/topics/company-news/long-running-agents),Domyn,Dream,Palantir’s customers,Salesforce,SAP,Shopify,Synopsysand[WPP](https://research.wpp.com/blog/crossing-the-real-time-agentic-threshold-benchmarking-nemotron-3-5-super-vl-on-google-cloud-a5x-powered-by-nvidia-vera-rubin-nvl72), as well as professional services providers likeAccentureandEY,are working with Nemotron models and datasets to create custom models and build domain\-specific agents\.
A broad ecosystem of post\-training partners, includingAfterQuery,AgileRL,AI21,Alice,Applied Compute,Baseten,CoreWeave,Distil Labs,EON,Fastino,Fireworks,Google Cloud, Mercor,Multiverse Computing,Nebius,Handshake AI,Plurai,Prime Intellect,River\.AI,Scale AI,TrajectoryandTNG,is helping enterprises customize Nemotron for domain\-specific workloads\.
## **NVIDIA Kumo Speeds Agents’ Work With Structured Enterprise Data**
[NVIDIA Kumo](https://developer.nvidia.com/topic/ai/agent-knowledge-foundation/kumo/)open foundation models, libraries and tools help agents and applications forecast outcomes, score fraud risk and recommend actions from structured business data\. Part of[NVIDIA Agent Knowledge Foundation](https://developer.nvidia.com/topics/ai/agent-knowledge-foundation), Kumo shortens time to prediction and reduces the cost and complexity of building a separate machine learning pipeline for every task\.
Developers can use pretrained Kumo models to bring predictions to more applications quickly, then fine\-tune them using proprietary data when higher performance is critical\. The portfolio includes[NVIDIA Kumo Structured](https://huggingface.co/collections/nvidia/nvidia-kumo-structured), with models for relational and tabular prediction, forecasting and anomaly detection, and[NVIDIA Kumo Engine](https://github.com/NVIDIA/kumo-engine), an open library stack for developing and deploying structured data foundation models\.
[Cognite](https://www.cognite.com/en/partners/nvidia),Coinbase,Databricks,DoorDash,RevolutandTubiare among the first to work with Kumo models to accelerate development\.Snowflakecustomers are already using Kumo models to accelerate AI development in industries including advertising, energy, financial services and retail\.
## **NVIDIA Cosmos Accelerates Robotics Training and Simulation**
NVIDIA Cosmos is a family of open world foundation models that helps developers build robots, autonomous vehicles and vision agents that understand and interact with the physical world\.
NVIDIA is introducingnew Cosmos post\-training and optimization toolsto help developers improve world models using less compute, along with simulation checkpoints for evaluating behavior in interactive driving and robotic manipulation scenarios before real\-world testing\.
NVIDIA is also introducing Cosmos Data Factory — comprising blueprints and core agent skills — to help developers curate, label, generate and evaluate training data for driving scenarios, product defects, image augmentation and event generation\. Developers can use complete workflows or individual capabilities with agents coordinating the process\.
PorschewithVoxel51,ANYboticswithEncord,ZalandoandCEVA LogisticswithSereact, and[Siemens](https://news.siemens.com/en-us/siemens-nvidia-pcba-digital-twin-factory/)are using Cosmos Data Factory to create high\-quality, diverse training datasets and improve model precision\.
## **NVIDIA Alpamayo 2 Brings Real\-Time Reasoning to Autonomous Vehicles**
NVIDIA Alpamayo 2 Edge is a compact reasoning model that brings real\-time scene understanding and motion planning directly into autonomous vehicles\. Built on NVIDIA Cosmos 3 Edge’s Nemotron\-based foundation and optimized for the NVIDIA DRIVE AGX Thor platform, it helps developers bring advanced driving capabilities into vehicles with lower computing requirements\.
## **NVIDIA BioNeMo RFD4\-Proteina Advances Protein Design**
NVIDIA BioNeMo RFD4\-Proteina is an open protein design model from NVIDIA and theBaker Lab at the University of Washington’s Institute for Protein Design\.
The model generates protein sequences and 3D structures to help researchers design proteins that bind to difficult targets, assemble into complex structures and bind to small molecules\.
NVIDIA BioNeMo RFD4\-Proteina delivers leading performance across more than 10 protein design tasks and generates designs about 13x faster than RFdiffusion3 in a benchmark of 200 amino acid proteins\. Researchers can use the model through agents to generate and evaluate candidates against design goals and molecular constraints, then choose which designs to test in the lab\.
## **NVIDIA Ising Accelerates Quantum Development**
The NVIDIA Ising family of open models provides a common, extensible foundation to speed the breakthroughs needed to develop useful quantum supercomputers, from real\-time hardware calibration to error correction, across different qubit modalities and tailored to individual hardware needs\.
IQM Quantum Computersis using Ising to calibrate its quantum processors, showcasing how specialized open calibration models outperform large general\-purpose models\.SEEQCis combining the NVIDIA NVQLink platform and Ising with its unique Digital Link to meet the low\-latency requirements needed for real\-time quantum error correction\.
[AWS](https://aws.amazon.com/blogs/quantum-computing/decoding-quantum-errors-with-nvidia-ising-decoding-on-aws/)is making NVIDIA Ising readily available to researchers by integrating the model family into AWS Parallel Computing Service \(AWS PCS\)\. While decoding is typically performed on classical hardware colocated with the quantum processor due to latency requirements, the AWS PCS integration lets researchers build on Ising prior to deployment\.
## **Availability**
- **NVIDIA Nemotron 3\.5 Super VL**is available on[Hugging Face](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4),[ModelScope](https://modelscope.ai/collections/nv-community/Nemotron-35-Lightning),[OpenRouter](https://openrouter.ai/nvidia/nemotron-3.5-lightning:free)and[build\.nvidia\.com](https://build.nvidia.com/nvidia/nemotron-3.5-lightning-30b-a3b)as an NVIDIA NIM microservice, as well as through NVIDIA cloud, post\-training and inference partners\.**Nemotron 3\.5 Bolt**E4B 4GB is expected to be available on Friday, Oct\. 23\.
- **NVIDIA Nemotron Retriever**open models are available on[Hugging Face](https://huggingface.co/collections/nvidia/nemotron-retriever), various partner platforms, and as an NVIDIA NIM microservice on[build\.nvidia\.com](https://build.nvidia.com/explore/retrieval)\.
- **NVIDIA Kumo**open models are available on[Hugging Face](https://huggingface.co/collections/nvidia/nvidia-kumo-structured)and optimized and packaged as an NVIDIA NIM microservice for production inference on[build\.nvidia\.com](https://build.nvidia.com/explore/predictive-ai)\.
- **NVIDIA Cosmos**is now openly available on[Hugging Face](https://huggingface.co/collections/nvidia/cosmos3)and[GitHub](https://github.com/nvidia/Cosmos), and through select inference partners\.
- **NVIDIA Alpamayo 2 Edge**will be available for download on GitHub and Hugging Face later this month\.
- The**NVIDIA BioNeMo**open model RFD4\-Proteina is available on[build\.nvidia\.com](http://build.nvidia.com/)and as an NVIDIA NIM microservice, as well as on GitHub, Hugging Face and through select inference partners\.
- **NVIDIA Ising**is available on GitHub, Hugging Face and[build\.nvidia\.com](http://build.nvidia.com/)\.
*See*[*notice*](https://www.nvidia.com/en-eu/about-nvidia/terms-of-service/)*regarding software product information\.*
At GTC Berlin, major European banks and financial firms showcased production-scale AI built on NVIDIA accelerated computing and open-weight models, including Revolut's PRAGMA foundation model, Lloyds' ATUM, and Starling Intelligence. Institutions like Santander, NatWest, and bunq are adopting NVIDIA's Nemotron and Kumo model families to build proprietary intelligence on their own data at lower cost.
NVIDIA's blog post highlights how open models like Nemotron enable enterprises and nations to build trustworthy, controllable, and customized AI systems, contrasting with closed models that limit inspection and adaptation.
NVIDIA announces Nemotron 3 Nano Omni, an open multimodal model that unifies vision, audio, and language processing to enable faster and more efficient AI agents, achieving up to 9x higher throughput compared to other open omni models.
NVIDIA highlights how its European cloud partners — including Nscale, Crusoe, Nebius, Vultr, G42 and others — are scaling sovereign AI infrastructure built on Vera Rubin and the DSX platform, adding capacity, power-efficient inference and open-model support across Europe, the Nordics, Africa and Central Asia.