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NVIDIA, F5 Turbocharge Sovereign AI Cloud Security, Efficiency

To improve AI efficiency and security in sovereign cloud environments, NVIDIA and F5 are integrating NVIDIA BlueField-3 DPUs with the F5 BIG-IP Next for Kubernetes for application delivery and security. The collaboration, announced today at the NVIDIA AI Summit in Mumbai, India, is ideal for industries with strict data governance, privacy or compliance requirements and
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The Three Computer Solution: Powering the Next Wave of AI Robotics

ChatGPT marked the big bang moment of generative AI. Answers can be generated in response to nearly any query, helping transform digital work such as content creation, customer service, software development and business operations for knowledge workers. Physical AI, the embodiment of artificial intelligence in humanoids, factories and other devices within industrial systems, has yet
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Three Building Blocks for Creating AI Virtual Assistants for Customer Service with an NVIDIA NIM Agent Blueprint

In today’s fast-paced business environment, providing exceptional customer service is no longer just a nice-to-have—it’s a necessity. Whether addressing…

In today’s fast-paced business environment, providing exceptional customer service is no longer just a nice-to-have—it’s a necessity. Whether addressing technical issues, resolving billing questions, or providing service updates, customers expect quick, accurate, and personalized responses at their convenience. However, achieving this level of service comes with significant challenges.

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Accelerating Quantum Algorithms for Solar Energy Prediction with NVIDIA CUDA-Q and NVIDIA cuDNN

Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of…

Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of Power Systems and Energy at Chung Yuan Christian University in Taiwan, researches hybrid quantum-classical methods. These approaches leverage quantum computing to solve challenging problems in power systems and sustainable energy.

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Optimizing Drug Discovery with CUDA Graphs, Coroutines, and GPU Workflows

Illustration representing drug discovery.Pharmaceutical research demands fast, efficient simulations to predict how molecules interact, speeding up drug discovery. Jiqun Tu, a senior developer…Illustration representing drug discovery.

Pharmaceutical research demands fast, efficient simulations to predict how molecules interact, speeding up drug discovery. Jiqun Tu, a senior developer technology engineer at NVIDIA, and Ellery Russell, tech lead for the Desmond engine at Schrödinger, explore advanced GPU optimization techniques designed to accelerate molecular dynamics simulations. In this NVIDIA GTC 2024 session…

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Introducing SynthID Text

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Introducing HUGS – Scale your AI with Open Models

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CinePile 2.0 – making stronger datasets with adversarial refinement

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How to Accelerate Larger LLMs Locally on RTX With LM Studio

Large language models (LLMs) are reshaping productivity. They’re capable of drafting documents, summarizing web pages and, having been trained on vast quantities of data, accurately answering questions about nearly any topic.

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Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine

Image of a car speeding on a road in the sunshine.In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision…Image of a car speeding on a road in the sunshine.

In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving. Now the demand for computing power is sharply increasing, leading to higher system loads that can have a negative impact on system stability and latency.

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