Category: Misc

The age of AI-native applications has arrived. Developers are building advanced agentic and physical AI systems—but scaling across geographies and GPU…

The age of AI-native applications has arrived. Developers are building advanced agentic and physical AI systems—but scaling across geographies and GPU providers remains a challenge. NVIDIA built DGX Cloud Lepton to help. It’s a unified AI platform and compute marketplace that connects developers to tens of thousands of GPUs from a global network of cloud providers. And it’s now available for…

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At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by
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In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Union (EBU) are working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of
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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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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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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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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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Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. This transition…

Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. This transition demands an AV data flywheel to generate synthetic data and augment sensor datasets, address coverage gaps and, and ultimately, build a validation toolchain to safely develop and deploy autonomous vehicles. In this blog post…

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Enterprise data is exploding—petabytes of emails, reports, Slack messages, and databases pile up faster than anyone can read. Employees are left searching for…

Enterprise data is exploding—petabytes of emails, reports, Slack messages, and databases pile up faster than anyone can read. Employees are left searching for answers in a sea of information, as “68% of available data in an organization goes unused,” according to market researcher Gartner1. That’s now possible with today’s availability of AI-Q, an open-source NVIDIA Blueprint that puts your…

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