Month: June 2025

Integrating large language models (LLMs) into a production environment, where real users interact with them at scale, is the most important part of any AI…

Integrating large language models (LLMs) into a production environment, where real users interact with them at scale, is the most important part of any AI workflow. It’s not just about getting the models to run—it’s about making them fast, easy to manage, and flexible enough to support different use cases and production needs. With a growing number of LLMs, each with its own architecture…

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Modern products often consist of millions of parts and require intricate design and collaboration. The industrial world is facing significant challenges in…

Modern products often consist of millions of parts and require intricate design and collaboration. The industrial world is facing significant challenges in managing their complexity, with traditional visualization tools failing to render these large, multi-CAD assemblies with the true-to-life realism required to fully benefit from digital twins. To address these struggles…

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Businesses make thousands of decisions every day—what to produce, where to ship, how to allocate resources. At scale, optimizing these decisions becomes a…

Businesses make thousands of decisions every day—what to produce, where to ship, how to allocate resources. At scale, optimizing these decisions becomes a computational challenge. Linear programming (LP), mixed-integer programming (MIP), and vehicle routing problems (VRP) provide structure, but solving them fast is where the bottleneck begins. NVIDIA cuOpt brings GPU acceleration to decision…

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As enterprise adoption of agentic AI accelerates, teams face a growing challenge of scaling intelligent applications while managing inference costs. Large…

As enterprise adoption of agentic AI accelerates, teams face a growing challenge of scaling intelligent applications while managing inference costs. Large language models (LLMs) offer strong performance but come with substantial computational demands, often resulting in high latency and costs. At the same time, many development workflows—such as evaluation, data curation…

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Sovereign AI has sparked a new Italian renaissance around industrial transformation. Supporting its design and manufacturing heritage, Italy is among leading European nations in its advanced development of sovereign AI. Italy joins European nations in building domestic AI infrastructure with an ecosystem of NVIDIA Cloud Partners and telecom providers such as Fastweb. Italian telecommunications company
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The European Union is investing over $200 billion into AI — but to gain the most value from this investment, its developers must navigate three key constraints: limited compute availability, data-privacy needs and safety priorities. Unveiled at the NVIDIA GTC Paris keynote at VivaTech, a new suite of NVIDIA technologies is making it easier to
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NVIDIA today announced the expansion of NVIDIA DGX Cloud Lepton™ — an AI platform featuring a global compute marketplace that connects developers building agentic and physical AI applications — with GPUs now available from a growing network of cloud providers.

Tens of billions of euros are spent each year on drug research and development across the globe — but only a few dozen new drugs make it to market. Agentic AI is introducing a rhythm shift in the pharmaceutical industry, with IQVIA, the world’s leading provider of clinical research services, commercial insights and healthcare intelligence,
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Siemens and NVIDIA announced today an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.