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<title>NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness</title>+
<link>https://blogs.nvidia.com/blog/nemotron-langchain-agents-open-stack/</link>+
+
<dc:creator><![CDATA[Adel El Hallak]]></dc:creator>+
<pubDate>Wed, 08 Jul 2026 15:00:27 +0000</pubDate>+
<category><![CDATA[Deep Learning]]></category>+
<category><![CDATA[Nemotron]]></category>+
<guid isPermaLink="false">https://blogs.nvidia.com/?p=96008</guid>+
+
<description><![CDATA[NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among…+
<content:encoded><![CDATA[<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. </span></p>+
<p><span style="font-weight: 400;">LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x lower inference cost per run than leading closed models. </span></p>+
<p><span style="font-weight: 400;">Measured against LangChain’s Deep Agents benchmark, Nemotron 3 Ultra also achieved business task parity with the highest-scoring closed models. No model retraining was required. Every gain came from engineering the environment around the model, not the model itself…+
<p><span style="font-weight: 400;">At a tenth of the cost, teams harnessing NVIDIA Nemotron 3 Ultra can run evaluations continuously, experiment faster and build specialized agents across more of their business. </span></p>+
<p><span style="font-weight: 400;">LangChain’s agent engineering platform has more than 200 million monthly downloads. By tuning its Deep Agents harness specifically for </span><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><span style="font-weight…+
<p><span style="font-weight: 400;">“The way to build better agents is to keep improving the system around the model,” said Harrison Chase, cofounder and CEO of LangChain. “Memory, tool use, evaluation and model behavior compound when teams can tune them together. Our work with NVIDIA shows that ente…+
<p><span style="font-weight: 400;">Abridge,</span> <span style="font-weight: 400;">Amdocs</span><span style="font-weight: 400;"> and </span><span style="font-weight: 400;">Box</span><span style="font-weight: 400;"> are embedding specialized agents directly into their platforms and global systems int…+
<p><span style="font-weight: 400;">NVIDIA founder and CEO Jensen Huang recently sat down with Chase to discuss why the last six months have seen a leap in useful AI for enterprises.</span></p>+
<p><iframe title="Jensen Huang: Why companies need open agent systems" width="1200" height="675" src="https://www.youtube.com/embed/Yy3JH6dDugc?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="…+
<h2>Harness Engineering, Not Fine-Tuning</h2>+
<p><span style="font-weight: 400;">LangChain’s team ran Nemotron 3 Ultra against its public Deep Agents benchmark suite, then analyzed the </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/deep-agents/"><span style="font-weight: 400;">deep agent’s</span></a><span style="font-weig…+
<p><span style="font-weight: 400;">Every developer using LangChain Deep Agents with Nemotron 3 Ultra can put this to work today — the tuned profile is available directly through LangChain.</span></p>+
<h2>An Open Stack Built to Own</h2>+
<p><span style="font-weight: 400;">NVIDIA NemoClaw for LangChain Deep Agents is the open reference blueprint that packages this work for enterprises building their own </span><a target="_blank" href="https://www.nvidia.com/en-us/glossary/specialized-ai/"><span style="font-weight: 400;">specialized A…+
<p><span style="font-weight: 400;">An open model, an open harness and an open secure runtime means enterprises own the full stack, end to end. They can customize it around the expertise that sets their business apart, keep improving it and run it anywhere — their own infrastructure, their own cloud,…+
<p><span style="font-weight: 400;">That distinction matters more as agents take on higher-stakes work. The shift from AI assistants that answer questions to agents that take action inside core systems changes what businesses get from their AI. </span></p>+
<p><span style="font-weight: 400;">NemoClaw for LangChain Deep Agents and the tuned Nemotron 3 Ultra model profile are available </span><a target="_blank" href="https://docs.langchain.com/oss/python/deepagents/code/overview"><span style="font-weight: 400;">now</span></a><span style="font-weight: 400…+
<h2>How to Get Started</h2>+
<p><span style="font-weight: 400;">LangChain developers can access Nemotron 3 Ultra on</span> <a target="_blank" href="https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten"><span style="font-weight: 400;">Baseten</span><span style="font-weight: 400;">,</span></a> …+
<p><span style="font-weight: 400;">EY</span><span style="font-weight: 400;"> can help enterprises start building their own specialized agents today, using this open software stack. </span></p>+
<p><span style="font-weight: 400;"><a target="_blank" href="https://www.prnewswire.com/news-releases/langchain-and-nvidia-launch-nemoclaw-deep-agents-blueprint-for-enterprise-agents-302820446.html">Learn more</a> about NVIDIA NemoClaw for LangChain Deep Agents and NVIDIA Nemotron. </span></p>+
<p><i><span style="font-weight: 400;">Stay up to date on agentic AI, </span></i><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><i><span style="font-weight: 400;">NVIDIA Nemotron</span></i></a><i><span style="font-weight: 400;"> and more by subscrib…+
<p><i><span style="font-weight: 400;">Explore </span></i><a target="_blank" href="https://youtube.com/playlist?list=PL5B692fm6--vdRKB14FImVi7MTJ77zjn4&feature=shared"><i><span style="font-weight: 400;">self-paced video tutorials and livestreams</span></i></a><i><span style="font-weight: 400;">.<…+
<p> </p>+
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<title>NVIDIA Rubin Platform, Open Models, Autonomous Driving: NVIDIA Presents Blueprint for the Future at CES</title>+
<link>https://blogs.nvidia.com/blog/2026-ces-special-presentation/</link>+
+
<dc:creator><![CDATA[Brian Caulfield]]></dc:creator>+
<pubDate>Mon, 05 Jan 2026 23:30:18 +0000</pubDate>+
<category><![CDATA[Corporate]]></category>+
<category><![CDATA[Deep Learning]]></category>+
<category><![CDATA[Driving]]></category>+
<category><![CDATA[Hardware]]></category>+
<category><![CDATA[Supercomputing]]></category>+
<category><![CDATA[CES 2026]]></category>+
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+
<description><![CDATA[NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial i…+
<content:encoded><![CDATA[<div id="bsf_rt_marker"></div><p>NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device.</p>+
<p>“Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 trillion or so of the last decade of computing is now being modernized to this new way of doing computing.”</p>+
<p>Huang <a target="_blank" href="https://nvidianews.nvidia.com/news/rubin-platform-ai-supercomputer">unveiled Rubin</a>, NVIDIA’s first extreme-codesigned, six-chip AI platform now in full production, and <a target="_blank" href="https://nvidianews.nvidia.com/news/alpamayo-autonomous-vehicle-develo…+
<p><iframe title="Highlights: NVIDIA Live with CEO Jensen Huang" width="1200" height="675" src="https://www.youtube.com/embed/LrY_lYWda9A?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict…+
<p>With Rubin, NVIDIA aims to “push AI to the next frontier” while slashing the cost of generating tokens to roughly one-tenth that of the previous platform, Huang said, making large-scale AI far more economical to deploy.</p>+
<p>Huang also emphasized the role of NVIDIA <a href="https://blogs.nvidia.com/blog/open-models-data-tools-accelerate-ai">open models</a> across every domain, trained on NVIDIA supercomputers, forming a global ecosystem of intelligence that developers and enterprises can build on.</p>+
<p>“Every single six months, a new model is emerging, and these models are getting smarter and smarter,” Huang said. “Because of that, you could see the number of downloads has exploded.”</p>+
<p><i>Find all NVIDIA news from CES in this </i><a target="_blank" href="https://nvidianews.nvidia.com/online-press-kit/ces-2026-news"><i>online press kit</i></a><i>.</i></p>+
<h2><strong>A New Engine for Intelligence: The Rubin Platform</strong></h2>+
<p>Introducing the audience to pioneering American astronomer Vera Rubin, after whom NVIDIA named its next-generation computing platform, Huang announced that the <a target="_blank" href="https://nvidianews.nvidia.com/news/rubin-platform-ai-supercomputer">NVIDIA Rubin platform</a>, the successor to …+
<p><img fetchpriority="high" decoding="async" class="aligncenter size-full wp-image-88827" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1280x680-DEB19668.jpg" alt="" width="1282" height="682" srcset="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1280x680-DEB19…+
<p>Built from the data center outward, Rubin platform components span:</p>+
<ul>+
<li style="font-weight: 300;" aria-level="1"><b>Rubin GPUs</b> with 50 petaflops of NVFP4 inference</li>+
<li style="font-weight: 300;" aria-level="1"><b>Vera CPUs</b> engineered for data movement and agentic processing</li>+
<li style="font-weight: 300;" aria-level="1"><b>NVLink 6</b> scale‑up networking</li>+
<li style="font-weight: 300;" aria-level="1"><b>Spectrum‑X Ethernet Photonics</b> scale‑out networking</li>+
<li style="font-weight: 300;" aria-level="1"><b>ConnectX‑9 SuperNICs</b></li>+
<li style="font-weight: 300;" aria-level="1"><b>BlueField‑4 DPUs</b></li>+
</ul>+
<p>Extreme codesign — designing all these components together — is essential because scaling AI to gigascale requires tightly integrated innovation across chips, trays, racks, networking, storage and software to eliminate bottlenecks and dramatically reduce the costs of training and inference, Huang…+
<p><iframe loading="lazy" title="NVIDIA Vera Rubin in Full Production" width="1200" height="675" src="https://www.youtube.com/embed/1SjHsykrQWc?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="…+
<p>He also introduced AI-native storage with <a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-bluefield-4-powers-new-class-of-ai-native-storage-infrastructure-for-the-next-frontier-of-ai">NVIDIA Inference Context Memory Storage Platform</a> — an AI‑native KV‑cache tier that boosts …+
<p>Put it all together and the Rubin platform promises to dramatically accelerate AI innovation, delivering AI tokens at one-tenth the cost. “The faster you train AI models, the faster you can get the next frontier out to the world,” Huang said. “This is your time to market. This is technology leade…+
<h2><strong>Open Models for All</strong></h2>+
<p><img loading="lazy" decoding="async" class="aligncenter wp-image-88779 size-large" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/ces26-nvidialive-open-model-ecosystem-1-1680x1200.jpg" alt="" width="1680" height="1200" /></p>+
<p>NVIDIA’s open models — trained on NVIDIA’s own supercomputers — are powering breakthroughs across healthcare, climate science, robotics, embodied intelligence and autonomous driving.</p>+
<p>“Now on top of this platform, NVIDIA is a frontier AI model builder, and we build it in a very special way. We build it completely in the open so that we can enable every company, every industry, every country, to be part of this AI revolution.”</p>+
<p><iframe loading="lazy" title="NVIDIA Is a Frontier AI Model Builder" width="1200" height="675" src="https://www.youtube.com/embed/IQeGHDD22Xw?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy=…+
<p>The portfolio spans six domains — Clara for healthcare, Earth-2 for climate science, Nemotron for reasoning and multimodal AI, Cosmos for robotics and simulation, <a target="_blank" href="https://huggingface.co/blog/nvidia/generalist-robotpolicy-eval-isaaclab-arena-lerobot">GR00T for embodied int…+
<p>“These models are open to the world,” Huang said, underscoring NVIDIA’s role as a frontier AI builder with world-class models topping leaderboards. “You can create the model, evaluate it, guardrail it and deploy it.”</p>+
<h2><strong>AI on Every Desk: RTX, DGX Spark and Personal Agents</strong></h2>+
<p>Huang emphasized that AI’s future is not only about supercomputers — it’s personal.</p>+
<p>Huang showed a demo featuring a personalized AI agent running locally on the NVIDIA DGX Spark desktop supercomputer and embodied through a Reachy Mini robot using Hugging Face models — showing how open models, model routing and local execution turn agents into responsive, physical collaborators.<…+
<p>“The amazing thing is that is utterly trivial now, but yet, just a couple of years ago, that would have been impossible, absolutely unimaginable,” Huang said.</p>+
<p>The world’s leading enterprises are integrating NVIDIA AI to power their products, Huang said, citing companies including Palantir, ServiceNow, Snowflake, CodeRabbit, CrowdStrike, NetApp and Semantec.</p>+
<p>“Whether it’s Palantir or ServiceNow or Snowflake — and many other companies that we’re working with — the agentic system is the interface.”</p>+
<p>At CES, NVIDIA also announced that <a href="https://blogs.nvidia.com/blog/dgx-spark-and-station-open-source-frontier-models/">DGX Spark delivers up to 2.6x performance</a> for large models, with new support for Lightricks LTX‑2 and FLUX image models, and upcoming NVIDIA AI Enterprise availability…+
<h2><strong>Physical AI</strong></h2>+
<p><img loading="lazy" decoding="async" class="aligncenter size-full wp-image-88776" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1920x1080-physicalai.jpg" alt="" width="1921" height="1082" srcset="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1920x1080-physic…+
<p>AI is now grounded in the physical world, through NVIDIA’s technologies for training, inference and edge computing.</p>+
<p>These systems can be trained on synthetic data in virtual worlds long before interacting with the real world.</p>+
<p>Huang showcased <a target="_blank" href="https://huggingface.co/blog/nvidia/nvidia-cosmos-reason-2-brings-advanced-reasoning">NVIDIA Cosmos</a> open world foundation models trained on videos, robotics data and simulation. Cosmos:</p>+
<ul>+
<li style="font-weight: 300;" aria-level="1">Generates realistic videos from a single image</li>+
<li style="font-weight: 300;" aria-level="1">Synthesizes multi‑camera driving scenarios</li>+
<li style="font-weight: 300;" aria-level="1">Models edge‑case environments from scenario prompts</li>+
<li style="font-weight: 300;" aria-level="1">Performs physical reasoning and trajectory prediction</li>+
<li style="font-weight: 300;" aria-level="1">Drives interactive, closed‑loop simulation</li>+
</ul>+
<p><iframe loading="lazy" title="The Future of Physical AI is Here" width="1200" height="675" src="https://www.youtube.com/embed/iWs-2TD5Dcc?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="str…+
<p>Advancing this story, Huang announced <a target="_blank" href="https://nvidianews.nvidia.com/news/alpamayo-autonomous-vehicle-development">Alpamayo</a>, an open portfolio of reasoning vision language action models, simulation blueprints and datasets enabling level 4‑capable autonomy. This include…+
<ul>+
<li style="font-weight: 300;" aria-level="1">Alpamayo R1 — the first open, reasoning VLA model for autonomous driving</li>+
<li style="font-weight: 300;" aria-level="1">AlpaSim — a fully open simulation blueprint for high‑fidelity AV testing</li>+
</ul>+
<p><img loading="lazy" decoding="async" class="aligncenter wp-image-88773 size-full" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1280x680-alpamayo.jpg" alt="" width="1282" height="682" srcset="https://blogs.nvidia.com/wp-content/uploads/2026/01/26ces-blog-1280x680-alpamayo.jp…+
<p>“Not only does it take sensor input and activates steering wheel, brakes and acceleration, it also reasons about what action it is about to take,” Huang said, teeing up a video showing a vehicle smoothly navigating busy San Francisco traffic.</p>+
<p>Huang announced the first passenger car featuring Alpamayo built on NVIDIA DRIVE full-stack autonomous vehicle platform <a href="https://blogs.nvidia.com/blog/drive-av-software-mercedes-benz-cla/">will be on the roads soon in the all‑new Mercedes‑Benz CLA</a> — with AI‑defined driving coming to t…+
<p><iframe loading="lazy" title="Advancements in Physical AI for Autonomous Vehicles" width="1200" height="675" src="https://www.youtube.com/embed/FgwmPqeaARY?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" r…+
<p>Huang also highlighted <a href="https://blogs.nvidia.com/blog/global-drive-hyperion-ecosystem-full-autonomy">growing momentum behind DRIVE Hyperion</a>, the open, modular, level‑4‑ready platform adopted by leading automakers, suppliers and robotaxi providers worldwide.</p>+
<p><img loading="lazy" decoding="async" class="aligncenter size-large wp-image-88820" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/ces26-nvidialive-DEB19526-1680x1200.jpg" alt="" width="1680" height="1200" /></p>+
<p>“Our vision is that, someday, every single car, every single truck will be autonomous, and we’re working toward that future,” Huang said.</p>+
<p>Huang was then joined on stage by a pair of tiny beeping, booping, hopping robots as he explained how NVIDIA’s full‑stack approach is fueling a <a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-releases-new-physical-ai-models-as-global-partners-unveil-next-generation-robots">glob…+
<p>Huang rolled a video showing how robots are trained in NVIDIA Isaac Sim and Isaac Lab in photorealistic, simulated worlds — before highlighting the work of partners in physical AI across the industry, including Synopsys and Cadence, Boston Dynamics and Franka, and more.</p>+
<p>Huang also appeared with Siemens CEO Roland Busch at the company’s Tuesday keynote to announce an expanded <a target="_blank" href="https://nvidianews.nvidia.com/news/siemens-and-nvidia-expand-partnership-industrial-ai-operating-system">partnership</a>, supported by a <a target="_blank" hre…+
<p>“These manufacturing plants are going to be essentially giant robots,” Huang said at NVIDIA’s presentation on Monday.</p>+
<figure id="attachment_88913" aria-describedby="caption-attachment-88913" style="width: 1680px" class="wp-caption aligncenter"><img loading="lazy" decoding="async" class="wp-image-88913 size-large" src="https://blogs.nvidia.com/wp-content/uploads/2026/01/ces26-Siements-walkon-DSC05458-3-1680x1200.jp…+
<h2><strong>Building the Future, Together</strong></h2>+
<p><iframe loading="lazy" title="How AI Has Reshaped Computing" width="1200" height="675" src="https://www.youtube.com/embed/vyzHPVufFbk?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-…+
<p>Huang explained that NVIDIA builds entire systems now because it takes a full, optimized stack to deliver AI breakthroughs.</p>+
<p>“Our job is to create the entire stack so that all of you can create incredible applications for the rest of the world,” he said.</p>+
<p>Watch the full presentation replay:</p>+
<p><iframe loading="lazy" title="YouTube video player" src="https://www.youtube.com/embed/0NBILspM4c4?si=eitgTgf6E27X9EU3" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"></iframe></p>+
<h2><b>DLSS 4.5 and Other Gaming and Creating Updates</b></h2>+
<p>On Monday evening, <a href="https://blogs.nvidia.com/blog/dlss-path-tracing-g-sync-pulsar-ces-2026/">NVIDIA announced DLSS 4.5</a>, which introduces Dynamic Multi Frame Generation, a new 6X Multi Frame Generation mode and a second-generation transformer model for DLSS Super Resolution, so gamers …+
<p>Over 250 games and apps now support NVIDIA DLSS 4 technology, with this year’s biggest titles adding support, including <i>007 First Light, Phantom Blade Zero, PRAGMATA and Resident Evil Requiem</i> at launch.</p>+
<p>RTX Remix Logic debuted, expanding the capabilities of the Remix modding platform to enable modders to trigger dynamic graphics effects throughout a game based on real-time game events.</p>+
<p>Plus, NVIDIA ACE technology demonstrated in <i>Total War: PHARAOH </i>showcases how AI can assist players in navigating the complexities of the game’s many systems and mechanics.</p>+
<p>In <i>PUBG: BATTLEGROUNDS</i>, PUBG Ally powered by NVIDIA ACE adds long-term memory, evolving its intelligence and capabilities.</p>+
<p>And G-SYNC Pulsar monitors are available this week, delivering a tear-free experience together with a perceived 1,000Hz+ effective motion clarity and G-SYNC Ambient Adaptive Technology — all setting a new gold standard for gamers.</p>+
<p>In addition, NVIDIA is bringing GeForce RTX gaming to more devices with <a href="https://blogs.nvidia.com/blog/geforce-now-ces-2026/">new GeForce NOW Apps for Linux PC and Amazon Fire TV</a>.</p>+
<p>And <a href="https://blogs.nvidia.com/blog/rtx-ai-garage-ces-2026-open-models-video-generation">NVIDIA RTX accelerates 4K AI video generation on PCs</a> with LTX-2 and ComfyUI upgrades.</p>+
<p>Read more about these announcements from Monday night at CES on <a target="_blank" href="https://www.nvidia.com/en-us/geforce/news/ces-2026-nvidia-geforce-rtx-announcements">this GeForce news article</a>.</p>+
<p><i>Learn more about all </i><a target="_blank" href="https://nvidianews.nvidia.com/online-press-kit/ces-2026-news"><i>NVIDIA announcements at CES</i></a><i>.</i></p>+
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<media:title type="html"><![CDATA[NVIDIA Rubin Platform, Open Models, Autonomous Driving: NVIDIA Presents Blueprint for the Future at CES]]></media:title>+
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<title>As AI Grows More Complex, Model Builders Rely on NVIDIA</title>+
<link>https://blogs.nvidia.com/blog/leading-models-nvidia/</link>+
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<dc:creator><![CDATA[Ashraf Eassa]]></dc:creator>+
<pubDate>Thu, 11 Dec 2025 19:19:57 +0000</pubDate>+
<category><![CDATA[Cloud]]></category>+
<category><![CDATA[Corporate]]></category>+
<category><![CDATA[Deep Learning]]></category>+
<category><![CDATA[AI Training]]></category>+
<guid isPermaLink="false">https://blogs.nvidia.com/?p=88162</guid>+
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<description><![CDATA[Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 in December. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. GPT-5.3 Codex — the first Op…+
<content:encoded><![CDATA[<div id="bsf_rt_marker"></div><p>Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI <a target="_blank" href="https://openai.com/index/introducing-gpt-5-2/">launched</a> GPT-5.2 in December. The model was traine…+
<p><a target="_blank" href="https://openai.com/index/introducing-gpt-5-3-codex/">GPT-5.3 Codex</a> — the first OpenAI agentic coding model to help build itself — was released in February and trained and served entirely on GB200 NVL72.</p>+
<p>GPT-5.2 achieves the top reported score for industry benchmarks like GPQA-Diamond, AIME 2025 and Tau2 Telecom. On leading benchmarks targeting the skills required to develop AGI, like <a target="_blank" href="https://arcprize.org/leaderboard">ARC-AGI-2</a>, GPT-5.2 sets a new bar for state-of-the…+
<p>GPT 5.3-Codex combines the coding performance of GPT‑5.2-Codex and the reasoning capabilities of GPT‑5.2 together in one model, with 25% faster performance. In four benchmarks used to evaluate coding, agentic and real-world capabilities, GPT 5.3-Codex set a new industry highs on SWE-Bench Pro and…+
<p>GPT 5.2 and GPT 5.3-Codex are the latest examples of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure.</p>+
<h2>Pretraining: The Bedrock of Intelligence</h2>+
<p>AI models are getting more capable thanks to three <a href="https://blogs.nvidia.com/blog/ai-scaling-laws/">scaling laws</a>: pretraining, post-training and test-time scaling.</p>+
<p><a target="_blank" href="https://www.nvidia.com/en-us/glossary/ai-reasoning/">Reasoning models</a>, which apply compute during <a target="_blank" href="https://www.nvidia.com/en-us/solutions/ai/inference/">inference</a> to tackle complex queries, using multiple networks working together, are now …+
<p>But pretraining and post-training remain the bedrock of intelligence. They’re core to making reasoning models smarter and more useful.</p>+
<p>And getting there takes scale. Training frontier models from scratch isn’t a small job.</p>+
<p>It takes tens of thousands, even hundreds of thousands, of GPUs working together effectively.</p>+
<p>That level of scale demands excellence across many dimensions. It requires world-class accelerators, advanced networking across scale-up, scale-out and increasingly scale-across architectures, plus a fully optimized software stack. In short, a purpose-built infrastructure platform built to delive…+
<p>Compared with the NVIDIA Hopper architecture, NVIDIA GB200 NVL72 systems delivered <a target="_blank" href="https://developer.nvidia.com/blog/nvidia-blackwell-enables-3x-faster-training-and-nearly-2x-training-performance-per-dollar-than-previous-gen-architecture/">3x faster training performance</…+
<p>And NVIDIA GB300 NVL72 delivers a <a target="_blank" href="https://www.nvidia.com/en-us/data-center/resources/mlperf-benchmarks/">more than 4x speedup</a> compared with NVIDIA Hopper.</p>+
<p>These performance gains help AI developers shorten development cycles and deploy new models more quickly.</p>+
<h2>Proof in the Models Across Every Modality</h2>+
<p>The majority of today’s leading large language models were <a target="_blank" href="https://www.nvidia.com/en-us/solutions/ai/ai-training/">trained</a> on NVIDIA platforms.</p>+
<p>AI isn’t just about text.</p>+
<p>NVIDIA supports AI development across multiple modalities, including speech, image and video generation, as well as emerging areas like biology and robotics.</p>+
<p>For example, models like <a href="https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/">Evo 2</a> decode genetic sequences, OpenFold3 predicts 3D protein structures and Boltz-2 simulates drug interactions, helping researchers identify promising candidates faster.</p>+
<p>On the clinical side, NVIDIA Clara synthesis models generate realistic medical images to advance screening and diagnosis without exposing patient data.</p>+
<p>Companies like <a target="_blank" href="https://runwayml.com/">Runway</a> and Inworld train on NVIDIA infrastructure.</p>+
<p>Runway last week announced Gen-4.5, a new frontier video generation model that’s the current top-rated video model in the world, according to the Artificial Analysis leaderboard.</p>+
<p>Now optimized for NVIDIA Blackwell, Gen-4.5 was developed entirely on NVIDIA GPUs across initial research and development, pre-training, post-training and inference.</p>+
<p>Runway also announced GWM-1, a state-of-the-art general world model trained on NVIDIA Blackwell that’s built to simulate reality in real time. It’s interactive, controllable and general-purpose, with applications in video games, education, science, entertainment and robotics.</p>+
<p>Benchmarks show why.</p>+
<p>MLPerf is the industry-standard benchmark for training performance. In the latest round, <a href="https://blogs.nvidia.com/blog/mlperf-training-benchmark-blackwell-ultra/">NVIDIA submitted results across all seven MLPerf Training 5.1 benchmarks</a>, showing strong performance and versatility. It …+
<p>NVIDIA’s ability to support diverse AI workloads helps data centers use resources more efficiently.</p>+
<p>That’s why AI labs such as Black Forest Labs, Cohere, Mistral, OpenAI, Reflection and Thinking Machines Lab and are all training on the NVIDIA Blackwell platform.</p>+
<h2>NVIDIA Blackwell Across Clouds and Data Centers</h2>+
<p>NVIDIA Blackwell is widely available from leading cloud service providers, neo-clouds and server makers.</p>+
<p>And NVIDIA Blackwell Ultra, offering additional compute, memory and architecture improvements, is now rolling out from server makers and cloud service providers.</p>+
<p>Major cloud service providers and <a target="_blank" href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/partners/">NVIDIA Cloud Partners</a>, including Amazon Web Services, CoreWeave, Google Cloud, Lambda, Microsoft Azure, Nebius, Oracle Cloud Infrastructure and Together AI, to na…+
<p>From frontier models to everyday AI, the future is being built on NVIDIA.</p>+
<p><i>Learn more about the </i><a target="_blank" href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/"><i>NVIDIA Blackwell platform</i></a><i>.</i></p>+
<p><em> Editor’s note: This story was updated on February 6, 2026 with the latest model information from OpenAI and its GPT-5.3 Codex. Check back for subsequent model launches and new data from OpenAI.</em></p>+
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<title>Reaching Across the Isles: UK-LLM Brings AI to UK Languages With NVIDIA Nemotron</title>+
<link>https://blogs.nvidia.com/blog/uk-llm-nemotron/</link>+
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<dc:creator><![CDATA[Kari Briski]]></dc:creator>+
<pubDate>Sun, 14 Sep 2025 01:00:21 +0000</pubDate>+
<category><![CDATA[AI]]></category>+
<category><![CDATA[AI Infrastructure]]></category>+
<category><![CDATA[Deep Learning]]></category>+
<category><![CDATA[AI for Good]]></category>+
<category><![CDATA[Artificial Intelligence]]></category>+
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<category><![CDATA[NVIDIA NIM]]></category>+
<category><![CDATA[Synthetic Data Generation]]></category>+
<guid isPermaLink="false">https://blogs.nvidia.com/?p=84790</guid>+
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<description><![CDATA[Celtic languages — including Cornish, Irish, Scottish Gaelic and Welsh — are the U.K.’s oldest living languages. To empower their speakers, the UK-LLM sovereign AI initiative is building an AI model based on NVIDIA Nemotron that can reason in both English and Welsh, a lang…+
<content:encoded><![CDATA[<div id="bsf_rt_marker"></div><p>Celtic languages — including Cornish, Irish, Scottish Gaelic and Welsh — are the U.K.’s oldest living languages. To empower their speakers, the UK-LLM <a href="https://blogs.nvidia.com/blog/what-is-sovereign-ai/">sovereign AI</a> i…+
<p>Enabling high-quality AI reasoning in Welsh will support the delivery of public services including healthcare, education and legal resources in the language.</p>+
<p>“I want every corner of the U.K. to be able to harness the benefits of artificial intelligence. By enabling AI to reason in Welsh, we’re making sure that public services — from healthcare to education — are accessible to everyone, in the language they live by,” said U.K. Prime Minister Keir Starm…+
<p>The UK-LLM project, established in 2023 as BritLLM and led by University College London, has previously released two models for U.K. languages. Its new model for Welsh, developed in collaboration with Wales’ Bangor University and NVIDIA, aligns with Welsh government efforts to boost the active us…+
<p>U.K.-based AI cloud provider Nscale will make the new model available to developers through its application programming interface. <img loading="lazy" decoding="async" class="aligncenter size-large wp-image-84796" src="https://blogs.nvidia.com/wp-content/uploads/2025/09/KeirStarmerquote-1680x672.…+
<p>“The aim is to ensure that Welsh remains a living, breathing language that continues to develop with the times,” said Gruffudd Prys, senior terminologist and head of the Language Technologies Unit at Canolfan Bedwyr, the university’s center for Welsh language services, research and technology. “A…+
<p>This new model could also boost the accessibility of Welsh resources by enabling public institutions and businesses operating in Wales to translate content or provide bilingual chatbot services. This can help groups including healthcare providers, educators, broadcasters, retailers and restaurant…+
<p>Beyond Welsh, the UK-LLM team aims to apply the same methodology used for its new model to develop AI models for other languages spoken across the U.K. such as Cornish, Irish, Scots and Scottish Gaelic — as well as work with international collaborators to build models for languages from Africa an…+
<p>“This collaboration with NVIDIA and Bangor University enabled us to create new training data and train a new model in record time, accelerating our goal to build the best-ever language model for Welsh,” said Pontus Stenetorp, professor of natural language processing and deputy director for the Ce…+
<h2><b>Tapping Sovereign AI Infrastructure for Model Development </b></h2>+
<p>The new model for Welsh is based on <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/">NVIDIA Nemotron</a>, a family of open-source models that features open weights, datasets and recipes. The UK-LLM development team has tapped the 49-billion-parame…+
<p>Compared with languages like English or Spanish, there’s less available source data in Welsh for AI training. So to create a sufficiently large Welsh training dataset, the team used <a target="_blank" href="https://developer.nvidia.com/nim">NVIDIA NIM</a> microservices for <a target="_blank" href…+
<p>They used a GPU cluster through the <a target="_blank" href="https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton/">NVIDIA DGX Cloud Lepton</a> platform and are harnessing hundreds of <a target="_blank" href="https://www.nvidia.com/en-us/data-center/grace-hopper-superchip/">NVIDIA GH200 Grac…+
<p>This new dataset supplements existing Welsh data from the team’s previous efforts.</p>+
<h2><b>Capturing Linguistic Nuances With Careful Evaluation</b></h2>+
<p>Bangor University, located in Gwynedd — the county with the <a target="_blank" href="https://www.bbc.com/news/articles/c62enyvv75eo">highest percentage of Welsh speakers</a> — is supporting the new model’s development with linguistic and cultural expertise.</p>+
<figure id="attachment_84808" aria-describedby="caption-attachment-84808" style="width: 1680px" class="wp-caption aligncenter"><img loading="lazy" decoding="async" class="wp-image-84808 size-large" src="https://blogs.nvidia.com/wp-content/uploads/2025/09/GruffuddPrysquote-1680x672.jpg" alt="" width=…+
<p>Prys, from the university’s Welsh-language center, brings to the collaboration about two decades of experience with language technology for Welsh. He and his team are helping to verify the accuracy of machine-translated training data and manually translated evaluation data, as well as assess how …+
<p>The model, as well as the Welsh training and evaluation datasets, are expected to be made available for enterprise and public sector use, supporting additional research, model training and application development.</p>+
<p>“It’s one thing to have this AI capability exist in Welsh, but it’s another to make it open and accessible for everyone,” Prys said. “That subtle distinction can be the difference between this technology being used or not being used.”</p>+
<h2><b>Deploy Sovereign AI Models With NVIDIA Nemotron, NIM Microservices</b></h2>+
<p>The framework used to develop UK-LLM’s model for Welsh can serve as a foundation for multilingual AI development around the world.</p>+
<p>Benchmark-topping Nemotron models, data and recipes are publicly available for developers to build reasoning models tailored to virtually any language, domain and workflow. Packaged as NVIDIA NIM microservices, Nemotron models are optimized for cost-effective compute and run anywhere, from laptop…+
<p>Europe’s enterprises will be able to run <a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-partners-with-europe-model-builders-and-cloud-providers-to-accelerate-regions-leap-into-ai">open, sovereign models on the Perplexity</a> AI-powered search engine.</p>+
<p><i>Get started with </i><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><i>NVIDIA Nemotron</i></a><i>.</i></p>+
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<p><em>Welsh translation: </em></p>+
<h2><strong>Ymestyn Ar Draws yr Ynysoedd: Mae DU-LLM yn Dod â Deallusrwydd Artiffisial i Ieithoedd y DU Gyda NVIDIA Nemotron</strong></h2>+
<p><em>Wedi’i hyfforddi ar yr uwch gyfrifiadur Isambard-AI, mae model newydd a ddatblygwyd gan University College London, NVIDIA a Phrifysgol Bangor yn manteisio ar dechnegau a setiau data ffynhonnell agored NVIDIA Nemotron i alluogi rhesymu Deallusrwydd Artiffisial ar gyfer y Gymraeg ac ieithoedd e…+
<p>Ieithoedd Celtaidd — gan gynnwys Cernyweg, Gwyddeleg, Gaeleg yr Alban a Chymraeg — yw ieithoedd byw hynaf y DU. Er mwyn grymuso eu siaradwyr, mae menter <a href="https://blogs.nvidia.com/blog/what-is-sovereign-ai/">Deallusrwydd Artiffisial sofran</a> y DU-LLM yn adeiladu model Deallusrwydd Artiff…+
<p>Bydd galluogi rhesymu Deallusrwydd Artiffisial o ansawdd uchel yn y Gymraeg yn cefnogi’r ddarpariaeth o wasanaethau cyhoeddus gan gynnwys gofal iechyd, addysg ac adnoddau cyfreithiol yn yr iaith.</p>+
<p>“Rwyf am i bob cwr o’r DU allu harneisio manteision deallusrwydd artiffisial. Drwy alluogi deallusrwydd artiffisial i resymu yn y Gymraeg, rydym yn sicrhau bod gwasanaethau cyhoeddus — o ofal iechyd i addysg — yn hygyrch i bawb, yn yr iaith maen nhw’n byw ynddi,” meddai Prif Weinidog y DU, Keir S…+
<p>Mae prosiect DU-LLM, a sefydlwyd yn 2023 fel BritLLM ac a arweinir gan University College London, wedi rhyddhau dau fodel ar gyfer ieithoedd y DU yn flaenorol. Mae ei fodel newydd ar gyfer y Gymraeg, a ddatblygwyd mewn cydweithrediad â Phrifysgol Bangor Cymru ac NVIDIA, yn cyd-fynd ag ymdrechion …+
<p>Bydd darparwr cwmwl Deallusrwydd Artiffisial yn y DU, Nscale, yn sicrhau bod y model newydd ar gael i ddatblygwyr trwy ei ryngwyneb rhaglennu rhaglenni (API).</p>+
<p>“Y nod yw sicrhau bod y Gymraeg yn parhau i fod yn iaith fyw, sy’n anadlu ac sy’n parhau i ddatblygu gyda’r oes,” meddai Gruffudd Prys, uwch derminolegydd a phennaeth yr Uned Technolegau Iaith yng Nghanolfan Bedwyr, canolfan y brifysgol ar gyfer gwasanaethau, ymchwil a thechnoleg y Gymraeg. “Mae …+
<p>Gallai’r model newydd hwn hefyd roi hwb i hygyrchedd adnoddau Cymraeg drwy alluogi sefydliadau cyhoeddus a busnesau sy’n gweithredu yng Nghymru i gyfieithu cynnwys neu ddarparu gwasanaethau sgwrsfot dwyieithog. Gall hyn helpu grwpiau gan gynnwys darparwyr gofal iechyd, addysgwyr, darl…+
<p>Y tu hwnt i’r Gymraeg, mae tîm y DU-LLM yn anelu at gymhwyso’r un fethodoleg a ddefnyddiwyd ar gyfer ei fodel newydd i ddatblygu modelau Deallusrwydd Artiffisial ar gyfer ieithoedd eraill a siaredir ledled y DU fel Cernyweg, Gwyddeleg, Sgoteg a Gaeleg yr Alban — yn ogystal â gweithio …+
<p>“Mae’r cydweithrediad hwn gydag NVIDIA a Phrifysgol Bangor wedi ein galluogi i greu data hyfforddi newydd a hyfforddi model newydd mewn amser record, gan gyflymu ein nod o adeiladu’r model iaith gorau erioed ar gyfer y Gymraeg,” meddai Pontus Stenetorp, yr athro prosesu iaith naturiol a dirprwy g…+
<h2><strong>Manteisio ar Seilwaith Deallusrwydd Artiffisial Sofran ar gyfer Datblygu Model</strong><strong> </strong></h2>+
<p>Mae’r model newydd ar gyfer y Gymraeg yn seiliedig ar <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/">NVIDIA Nemotron</a>, teulu o fodelau ffynhonnell agored sy’n cynnwys pwysau, setiau data a ryseitiau agored.Mae’r tîm datblygu…+
<p>O’i gymharu ag ieithoedd fel Saesneg neu Sbaeneg, mae llai o ddata ffynhonnell ar gael yn y Gymraeg ar gyfer hyfforddiant Deallusrwydd Artiffisial. Felly, er mwyn creu set ddata hyfforddi Cymraeg ddigon mawr, defnyddiodd y tîm ficrowasanaethau <a target="_blank" href="https://developer.nvid…+
<p>Defnyddion nhw glwstwr GPU drwy blatfform <a target="_blank" href="https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton/">NVIDIA DGX Cloud Lepton</a> ac yn harneisio cannoedd o <a target="_blank" href="https://www.nvidia.com/en-us/data-center/grace-hopper-superchip/">Uwchsglodion NVIDIA GH20…+
<p>Mae’r set ddata newydd hon yn ategu data presennol yr iaith Gymraeg o ymdrechion blaenorol y tîm.</p>+
<h2><strong>Cipio Naws Ieithyddol Gyda Gwerthusiad Gofalus</strong></h2>+
<p>Mae Prifysgol Bangor, sydd wedi’i lleoli yng Ngwynedd — y sir gyda’r <a target="_blank" href="https://www.bbc.com/news/articles/c62enyvv75eo">ganran uchaf o siaradwyr Cymraegs</a> — yn cefnogi datblygiad y model newydd gydag arbenigedd ieithyddol a diwylliannol.</p>+
<p>Mae Prys, o ganolfan Gymraeg y brifysgol, yn dod â thua dau ddegawd o brofiad gyda thechnoleg iaith ar gyfer y Gymraeg i’r cydweithrediad. Mae ef a’i dîm yn helpu i wirio cywirdeb data hyfforddi a gyfieithir gan beiriannau a data gwerthuso a gyfieithir â llaw, yn ogystal ag asesu sut …+
<p>Disgwylir i’r model, yn ogystal â’r setiau data hyfforddiant a gwerthuso’r Gymraeg, fod ar gael i fentrau a’r sector cyhoeddus eu defnyddio, gan gefnogi ymchwil ychwanegol, hyfforddiant modelu a datblygu rhaglenni.</p>+
<p>“Mae’n un peth cael y gallu Deallusrwydd Artiffisial hwn yn bodoli yn y Gymraeg, ond mae’n beth arall ei wneud yn agored ac yn hygyrch i bawb,” meddai Prys. “Gall y gwahaniaeth cynnil hwnnw fod y gwahaniaeth rhwng y dechnoleg hon yn cael ei defnyddio ai peidio.”</p>+
<h2><strong>Defnyddio Modelau Deallusrwydd Artiffisial Sofran Gyda NVIDIA Nemotron, Microwasanaethau NIM</strong></h2>+
<p>Gall y fframwaith a ddefnyddiwyd i ddatblygu model DU-LLM ar gyfer y Gymraeg fod yn sylfaen ar gyfer datblygu Deallusrwydd Artiffisial amlieithog ledled y byd.</p>+
<p>Mae modelau, data a ryseitiau Nemotron, sy’n cyrraedd y brig, ar gael yn gyhoeddus i ddatblygwyr er mwyn iddynt adeiladu modelau rhesymu sydd wedi’u teilwra i bron unrhyw iaith, parth a llif gwaith. Wedi’u pecynnu fel microgwasanaethau NVIDIA NIM, mae modelau Nemotron wedi’…+
<p>Bydd mentrau Ewrop yn gallu rhedeg <a target="_blank" href="https://nvidianews.nvidia.com/news/nvidia-partners-with-europe-model-builders-and-cloud-providers-to-accelerate-regions-leap-into-ai">modelau agored, sofran ar y peiriant chwilio Perplexity</a> wedi’i bweru gan Ddeallusrwydd Artiff…+
<p><em>Dewch i ddechrau arni gyda </em><a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/"><em>NVIDIA Nemotron</em></a><em>.</em></p>+
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<media:title type="html"><![CDATA[Reaching Across the Isles: UK-LLM Brings AI to UK Languages With NVIDIA Nemotron]]></media:title>+
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<title>It’s the Humidity: How International Researchers in Poland, Deep Learning and NVIDIA GPUs Could Change the Forecast</title>+
<link>https://blogs.nvidia.com/blog/humidity/</link>+
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<dc:creator><![CDATA[Brian Caulfield]]></dc:creator>+
<pubDate>Tue, 02 Sep 2025 13:00:15 +0000</pubDate>+
<category><![CDATA[Corporate]]></category>+
<category><![CDATA[Deep Learning]]></category>+
<guid isPermaLink="false">https://blogs.nvidia.com/?p=84398</guid>+
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<description><![CDATA[For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods…+
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<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 22px;">For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor.</p>+
<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 22px;">Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference between a passing sprinkle and a summer downpour that sends you sprinting for cover. And until now, satellites ha…+
<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 22px;">A team from the Wrocław University of Environmental and Life Sciences (UPWr) may help change that. In a paper published this month in <em>Satellite Navigation</em>, researchers describe how deep learning can transform b…+
<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 40px;">The secret? A super-resolution generative adversarial network (SRGAN) — a kind of AI best known for making grainy photos look crisp. Instead of celebrities or landscapes, researchers trained the network on global weathe…+
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<div style="background: #f5f7fa; border-left: 4px solid #76b900; border-radius: 8px; padding: 24px 28px;">+
<div style="font-size: 56px; font-weight: 900; line-height: 1; color: #76b900; letter-spacing: -0.03em; margin-bottom: 8px;">62%</div>+
<div style="font-size: 15px; font-weight: bold; color: #1a1a1a; margin-bottom: 4px;">Poland</div>+
<div style="font-size: 14px; color: #555; line-height: 1.4;">reduction in forecast errors</div>+
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<div style="background: #f5f7fa; border-left: 4px solid #76b900; border-radius: 8px; padding: 24px 28px;">+
<div style="font-size: 56px; font-weight: 900; line-height: 1; color: #76b900; letter-spacing: -0.03em; margin-bottom: 8px;">52%</div>+
<div style="font-size: 15px; font-weight: bold; color: #1a1a1a; margin-bottom: 4px;">California</div>+
<div style="font-size: 14px; color: #555; line-height: 1.4;">error reduction, even in rainy conditions</div>+
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<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 22px;">Compared with older methods that smeared details into a watercolor blur, the AI produced sharp gradients that actually matched what ground instruments saw.</p>+
<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 40px;">And because weather prediction is as much about trust as accuracy, the team added a twist: explainable AI. Using visualization tools like Grad-CAM and SHAP, they demonstrated where the model “looked” when ma…+
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<div style="position: absolute; top: 8px; left: 14px; font-size: 80px; line-height: 1; color: #76b900; font-family: Georgia,serif; opacity: 0.5;">“</div>+
<p style="margin: 0 0 16px; font-size: 18px; line-height: 1.65; font-style: italic; color: #1a2e08; font-weight: 500;">“High-resolution, reliable humidity data is the missing link in forecasting the kind of weather that disrupts lives. Our approach doesn’t just sharpen GNSS tomography — …+
<div style="font-size: 14px; font-style: normal; color: #4a5a30; font-weight: 600;">— Saeid Haji-Aghajany, Assistant Professor, Wrocław University of Environmental and Life Sciences</div>+
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<div style="font-size: 12px; letter-spacing: 0.18em; text-transform: uppercase; color: #76b900; font-weight: bold; margin-bottom: 28px;">How it works</div>+
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<div style="font-size: 36px; font-weight: 900; color: rgba(118,185,0,0.3); line-height: 1; margin-bottom: 10px;">01</div>+
<div style="font-size: 14px; font-weight: bold; color: #fff; margin-bottom: 6px;">GNSS Signals</div>+
<div style="font-size: 13px; color: rgba(255,255,255,0.6); line-height: 1.5;">Navigation satellites passively sense water vapor as signals pass through the atmosphere.</div>+
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<div style="font-size: 36px; font-weight: 900; color: rgba(118,185,0,0.3); line-height: 1; margin-bottom: 10px;">02</div>+
<div style="font-size: 14px; font-weight: bold; color: #fff; margin-bottom: 6px;">SRGAN Upscaling</div>+
<div style="font-size: 13px; color: rgba(255,255,255,0.6); line-height: 1.5;">An NVIDIA GPU-powered deep learning model sharpens low-res humidity readings into 3D maps.</div>+
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<div style="font-size: 36px; font-weight: 900; color: rgba(118,185,0,0.3); line-height: 1; margin-bottom: 10px;">03</div>+
<div style="font-size: 14px; font-weight: bold; color: #fff; margin-bottom: 6px;">Explainable AI</div>+
<div style="font-size: 13px; color: rgba(255,255,255,0.6); line-height: 1.5;">Grad-CAM and SHAP show forecasters exactly where the model focuses its attention.</div>+
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<p style="font-size: 17px; line-height: 1.75; color: #2d2d2d; margin: 0 0 44px;">The implications could be enormous. Feed these sharper humidity fields into physics-based or AI-driven weather models, and you get forecasts that can catch sudden downpours or flash floods before they hit. Communities l…+
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<div style="font-size: 11px; letter-spacing: 0.18em; text-transform: uppercase; color: #999; margin-bottom: 12px;">The bottom line</div>+
<p style="font-size: 24px; font-weight: 800; color: #0d1f3c; line-height: 1.3; margin: 0 0 20px; letter-spacing: -0.01em;">Not the thunder. Not the lightning.<br />+
It’s the humidity.</p>+
<div style="font-size: 12px; color: #aaa;">Reference: <a style="color: #76b900; text-decoration: none;" href="https://doi.org/10.1186/s43020-025-00177-6" target="_blank" rel="noopener">DOI: 10.1186/s43020-025-00177-6</a></div>+
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<media:content url="https://blogs.nvidia.com/wp-content/uploads/2025/09/IMG_7538-scaled.jpeg" type="image/jpeg" width="2048" height="1088">+
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<media:title type="html"><![CDATA[It’s the Humidity: How International Researchers in Poland, Deep Learning and NVIDIA GPUs Could Change the Forecast]]></media:title>+
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<title>Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards</title>+
<link>https://blogs.nvidia.com/blog/applications-open-graduate-fellowship-awards-2025/</link>+
+
<dc:creator><![CDATA[Sylvia Chanak]]></dc:creator>+
<pubDate>Wed, 13 Aug 2025 15:00:02 +0000</pubDate>Diff display stops at 400 lines. The line counts above are from the whole diff. 82 lines shown here cut at 300 characters. The raw artifact at this commit is linked above.