FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVIDIA Earth-2. FCN3 offers an unprecedented combination of probabilistic skill, computational efficiency, spectral fidelity, ensemble calibration, and stability at subseasonal timescales. Its medium-range forecasting accuracy matches that of leading machine learning models, such as GenCast, and exceeds that of traditional numerical weather prediction systems, such as IFS-ENS.
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FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVIDIA Earth-2. FCN3 offers an unprecedented combination of probabilistic skill,…
FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVIDIA Earth-2. FCN3 offers an unprecedented combination of probabilistic skill, computational efficiency, spectral fidelity, ensemble calibration, and stability at subseasonal timescales. Its medium-range forecasting accuracy matches that of leading machine learning models, such as GenCast, and exceeds that of traditional…
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Enterprises generate and store vast amounts of unstructured data in documents like research reports, business contracts, financial statements, and technical…
Enterprises generate and store vast amounts of unstructured data in documents like research reports, business contracts, financial statements, and technical manuals. Extracting meaningful insights from this data remains a challenge for traditional optical character recognition (OCR) technologies that struggle with complex layouts, structural variability, and maintaining continuity across pages.
Transferring 3D data between applications has long been a challenge, especially with proprietary formats such as native computer-aided design (CAD) files. CAD…
Transferring 3D data between applications has long been a challenge, especially with proprietary formats such as native computer-aided design (CAD) files. CAD models are vital for engineering and manufacturing physical products, yet they’re not designed for the complex, collaborative, and simulation-heavy environments crucial for physical AI applications such as robotics or autonomous vehicles…
A new power supply unit (PSU) with energy storage in the GB300 NVL72 can smooth power spikes from AI workloads and reduce peak grid demand by up to 30%. And it’s also coming to GB200 NVL72 systems.
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AI is entering a new era—one defined by agents that reason, plan, and take action. These agentic systems dynamically interact with APIs, tools, and even the…
AI is entering a new era—one defined by agents that reason, plan, and take action. These agentic systems dynamically interact with APIs, tools, and even the physical environment, which introduces new complexity and vastly expands the AI attack surface and potential risks. A single compromised model can now influence downstream decisions, access external systems, trigger cascading failures…
The electrical grid is designed to support loads that are relatively steady, such as lighting, household appliances, and industrial machines that operate at…
The electrical grid is designed to support loads that are relatively steady, such as lighting, household appliances, and industrial machines that operate at constant power. But data centers today, especially those running AI workloads, have changed the equation. Data centers consume a significant percentage of power plant and transformer capacity. Traditionally, diverse activities in the…
The NVIDIA Nemotron family builds on the strongest open models in the ecosystem by enhancing them with greater accuracy, efficiency, and transparency using…
The NVIDIA Nemotron family builds on the strongest open models in the ecosystem by enhancing them with greater accuracy, efficiency, and transparency using NVIDIA open synthetic datasets, advanced techniques, and tools. Today, we’re introducing NVIDIA Llama Nemotron Super v1.5, which brings significant improvements across core reasoning and agentic tasks like math, science, coding…