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
Read Article
Month: June 2025
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
Read Article
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…
Categories
Securely Deploy AI Models with NVIDIA NIM
Imagine you’re leading security for a large enterprise and your teams are eager to leverage AI for more and more projects. There’s a problem, though. As…
Imagine you’re leading security for a large enterprise and your teams are eager to leverage AI for more and more projects. There’s a problem, though. As with any project, you must balance the promise and returns of innovation with the hard realities of compliance, risk management, and security posture mandates. Security leaders face a crucial challenge when evaluating AI models such as those…
As AI progresses toward greater autonomy, the emergence of AI agents capable of independent decision-making marks a significant milestone. To function…
As AI progresses toward greater autonomy, the emergence of AI agents capable of independent decision-making marks a significant milestone. To function effectively in complex, real-world environments, these agents must go beyond pattern recognition and statistical predictions. This is driven by the adoption of reasoning models, designed to process information, apply logic, and make decisions…
The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These…
The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These models must have a general understanding of multi-modal datasets, along with the relationships between sensor datasets, vehicle trajectories, and driving actions to help with downstream training and validation tasks. By adapting and post…
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…
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…
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…
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…