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Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety

Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing.

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Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler

Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production.
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Game On With GeForce NOW, the Membership That Keeps on Delivering

This GFN Thursday rolls out a new reward and games for GeForce NOW members. Whether hunting for hot new releases or rediscovering timeless classics, members can always find more ways to play, games to stream and perks to enjoy. Gamers can score major discounts on the titles they’ve been eyeing — perfect for streaming in
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Check Out Sovereign AI in Practice Through an NVIDIA Webinar

Join NVIDIA experts and leading European model builders on July 8 for a webinar on building and deploying multilingual large language models.

Join NVIDIA experts and leading European model builders on July 8 for a webinar on building and deploying multilingual large language models.

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Powering the Next Frontier of Networking for AI Platforms with NVIDIA DOCA 3.0

The NVIDIA DOCA framework has evolved to become a vital component of next-generation AI infrastructure. From its initial release to the highly anticipated…

The NVIDIA DOCA framework has evolved to become a vital component of next-generation AI infrastructure. From its initial release to the highly anticipated launch of NVIDIA DOCA 3.0, each version has expanded capabilities for NVIDIA BlueField DPUs and ConnectX SuperNICs, enabling unprecedented AI platform scalability and performance. DOCA leverages BlueField DPUs and SuperNICs through a rich…

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Tune Into We Are Developers World Congress 2025

Join us at We Are Developers World Congress from July 9 to 11 to attend our workshops and connect with experts.

Join us at We Are Developers World Congress from July 9 to 11 to attend our workshops and connect with experts.

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How to Streamline Complex LLM Workflows Using NVIDIA NeMo-Skills

A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or…

A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or reinforcement learning (RL), and model evaluation. Each stage requires using different libraries, which are often challenging to set up and difficult to use together. For example, you might use NVIDIA TensorRT-LLM or vLLM for SDG and NVIDIA…

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NVIDIA Run:ai and Amazon SageMaker HyperPod: Working Together to Manage Complex AI Training

NVIDIA Run:ai and Amazon Web Services have introduced an integration that lets developers seamlessly scale and manage complex AI training workloads. Combining…

NVIDIA Run:ai and Amazon Web Services have introduced an integration that lets developers seamlessly scale and manage complex AI training workloads. Combining AWS SageMaker HyperPod and Run:ai’s advanced AI workload and GPU orchestration platform improves efficiency and flexibility. Amazon SageMaker HyperPod provides a fully resilient, persistent cluster that’s purpose-built for large-scale…

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HPE and NVIDIA Debut AI Factory Stack to Power Next Industrial Shift

To speed up AI adoption across industries, HPE and NVIDIA today launched new AI factory offerings at HPE Discover in Las Vegas. The new lineup includes everything from modular AI factory infrastructure and HPE’s AI-ready RTX PRO Servers  (HPE ProLiant Compute DL380a Gen12), to the next generation of HPE’s turnkey AI platform, HPE Private Cloud
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Introducing NVFP4 for Efficient and Accurate Low-Precision Inference

To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as…

To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without a doubt, is quantization. This is typically due to its post-optimization task-specific accuracy performance and broad choice of supported…

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