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New AI SDKs and Tools Released for NVIDIA Blackwell GeForce RTX 50 Series GPUs

NVIDIA recently announced a new generation of PC GPUs—the GeForce RTX 50 Series—alongside new AI-powered SDKs and tools for developers. Powered by the…

NVIDIA recently announced a new generation of PC GPUs—the GeForce RTX 50 Series—alongside new AI-powered SDKs and tools for developers. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting.

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How to Integrate NVIDIA DLSS 4 into Your Game with NVIDIA Streamline

NVIDIA DLSS 4 is the latest iteration of DLSS introduced with the NVIDIA GeForce RTX 50 Series GPUs. It includes several new features: DLSS Multi Frame…

NVIDIA DLSS 4 is the latest iteration of DLSS introduced with the NVIDIA GeForce RTX 50 Series GPUs. It includes several new features: Here’s how you can get started with DLSS 4 in your integrations. This post focuses on the Streamline SDK, which provides a plug-and-play framework for simplified plugin integration. The NVIDIA Streamline SDK is an open-source framework that…

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Accelerating JSON Processing on Apache Spark with GPUs

JSON is a popular format for text-based data that allows for interoperability between systems in web applications as well as data management. The format has…

JSON is a popular format for text-based data that allows for interoperability between systems in web applications as well as data management. The format has been in existence since the early 2000s and came from the need for communication between web servers and browsers. The standard JSON format consists of key-value pairs that can include nested objects. JSON has grown in usage for storing web…

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NVIDIA Sets Conference Call for Fourth-Quarter Financial Results

Written CFO Commentary to Be Provided Ahead of CallSANTA CLARA, Calif., Jan. 29, 2025 (GLOBE NEWSWIRE) — NVIDIA will host a conference call on Wednesday, February 26, at 2 p.m. PT (5 p.m. ET) …

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Advancing Rare Disease Detection with AI-Powered Cellular Profiling

An illustration of DNA molecule structure.Rare diseases are difficult to diagnose due to limitations in traditional genomic sequencing. Wolfgang Pernice, assistant professor at Columbia University, is…An illustration of DNA molecule structure.

Rare diseases are difficult to diagnose due to limitations in traditional genomic sequencing. Wolfgang Pernice, assistant professor at Columbia University, is using AI-powered cellular profiling to bridge these gaps and advance personalized medicine. At NVIDIA GTC 2024, Pernice shared insights from his lab’s work with diseases like Charcot-Marie-Tooth (CMT) and mitochondrial disorders.

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Mastering LLM Techniques: Evaluation

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and…

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and multifaceted nature of these systems. Unlike traditional machine learning (ML) models, LLMs generate a wide range of diverse and often unpredictable outputs, making standard evaluation metrics insufficient. Key challenges include the…

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Leveling Up User Experiences With Agentic AI, From Bots to Autonomous Agents

AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across retail, finance, entertainment and other industries. In this episode of the NVIDIA AI Podcast, Chris Covert, director of product experiences at Inworld AI, highlights how intelligent digital humans and characters are reshaping interactive experiences, from gaming to healthcare.
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Dynamic Loading in the CUDA Runtime

Historically, the GPU device code is compiled alongside the application with offline tools such as nvcc. In this case, the GPU device code is managed internally…

Historically, the GPU device code is compiled alongside the application with offline tools such as . In this case, the GPU device code is managed internally to the CUDA runtime. You can then launch kernels using and the CUDA runtime ensures that the invoked kernel is launched. However, in some cases, GPU device code needs to be dynamically compiled and loaded. This post shows a way to…

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OpenAI Triton on NVIDIA Blackwell Boosts AI Performance and Programmability

Stack diagram for LLM Megatron Core.Matrix multiplication and attention mechanisms are the computational backbone of modern AI workloads. While libraries like NVIDIA cuDNN provide highly optimized…Stack diagram for LLM Megatron Core.

Matrix multiplication and attention mechanisms are the computational backbone of modern AI workloads. While libraries like NVIDIA cuDNN provide highly optimized implementations, and frameworks like CUTLASS offer deep customization, many developers and researchers need a middle ground that combines performance with programmability. The open-source Triton compiler on the NVIDIA Blackwell…

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CUDA Toolkit 12.8 Delivers NVIDIA Blackwell Support

The latest release of the CUDA Toolkit, version 12.8, continues to push accelerated computing performance in data sciences, AI, scientific computing, and…

The latest release of the CUDA Toolkit, version 12.8, continues to push accelerated computing performance in data sciences, AI, scientific computing, and computer graphics and simulation, using the latest NVIDIA CPUs and GPUs. This post highlights some of the new features and enhancements included with this release: CUDA Toolkit 12.8 is the first version of the Toolkit to support…

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