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Content Moderation and Safety Checks with NVIDIA NeMo Guardrails

NeMo icon in a box with text around it: Out of Domain, Bias, Toxicity, and Third-Party Applications.Content moderation has become essential in retrieval-augmented generation (RAG) applications powered by generative AI, given the extensive volume of…NeMo icon in a box with text around it: Out of Domain, Bias, Toxicity, and Third-Party Applications.

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Just Released: NVIDIA Modulus v24.12

The new release includes new network architectures for external aerodynamics application as well as for climate and weather prediction.

The new release includes new network architectures for external aerodynamics application as well as for climate and weather prediction.

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Celebrating Open Science and Enterprise AI Innovation on MONAI’s 5th Anniversary

Simulated 2D and 3D CT scans.As MONAI celebrates its fifth anniversary, we’re witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. …Simulated 2D and 3D CT scans.

As MONAI celebrates its fifth anniversary, we’re witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. This announcement brings two exciting developments: the release of MONAI Core v1.4, expanding open-source capabilities, and the general availability of VISTA-3D and MAISI as NVIDIA NIM microservices. This dual release reflects our…

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Unified Virtual Memory Supercharges pandas with RAPIDS cuDF

cuDF-pandas, introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x…

introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x faster—without requiring any changes to your existing code. As part of the NVIDIA RAPIDS ecosystem, acts as a proxy layer that executes operations on the GPU when possible, and falls back to the CPU (via pandas) when necessary.

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Spotlight: Perplexity AI Serves 400 Million Search Queries a Month Using NVIDIA Inference Stack

The demand for AI-enabled services continues to grow rapidly, placing increasing pressure on IT and infrastructure teams. These teams are tasked with…

The demand for AI-enabled services continues to grow rapidly, placing increasing pressure on IT and infrastructure teams. These teams are tasked with provisioning the necessary hardware and software to meet that demand while simultaneously balancing cost efficiency with optimal user experience. This challenge was faced by the inference team at Perplexity AI, an AI-powered search engine that…

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Optimize GPU Workloads for Graphics Applications with NVIDIA Nsight Graphics

One of the great pastimes of graphics developers and enthusiasts is comparing specifications of GPUs and marveling at the ever-increasing counts of shader…

One of the great pastimes of graphics developers and enthusiasts is comparing specifications of GPUs and marveling at the ever-increasing counts of shader cores, RT cores, teraflops, and overall computational power with each new generation. Achieving the maximum theoretical performance represented by those numbers is a major focus in the world of graphics programming. Massive amounts of rendering…

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2025 Predictions: Enterprises, Researchers and Startups Home In on Humanoids, AI Agents as Generative AI Crosses the Chasm

From boardroom to break room, generative AI took this year by storm, stirring discussion across industries about how to best harness the technology to enhance innovation and creativity, improve customer service, transform product development and even boost communication. The adoption of generative AI and large language models is rippling through nearly every industry, as incumbents
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NVIDIA to Open Vietnam R&D Center to Bolster AI Development

NVIDIA announced today it is opening its first Vietnam research and development center, signaling its confidence in the country’s bright artificial intelligence future.

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Welcome PaliGemma 2 – New vision language models by Google

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“How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs