DataBloom

Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation.  At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues
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Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform
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The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element — from system and chip design to a custom GPU, APIs
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GeForce NOW isn’t fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into April’s adventures arrivals, which are truly no joke. Get ready to stream, play and conquer the eight games
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The compute demands for large language model (LLM) inference are growing rapidly, fueled by the combination of growing model sizes, real-time latency…

The compute demands for large language model (LLM) inference are growing rapidly, fueled by the combination of growing model sizes, real-time latency requirements, and, most recently, AI reasoning. At the same time, as AI adoption grows, the ability of an AI factory to serve as many users as possible, all while maintaining good per-user experiences, is key to maximizing the value it generates.

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The past few years have witnessed the rise in popularity of generative AI and large language models (LLMs), as part of a broad AI revolution. As LLM-based…

The past few years have witnessed the rise in popularity of generative AI and large language models (LLMs), as part of a broad AI revolution. As LLM-based applications are rolled out across enterprises, there is a need to determine the cost efficiency of different AI serving solutions. The cost of an LLM application deployment depends on how many queries it can process per second while being…

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AI is rapidly transforming how organizations solve complex challenges. The early stages of enterprise AI adoption focused on using large language models to create chatbots. Now, enterprises are using agentic AI to create intelligent systems that reason, act and execute complex tasks with a degree of autonomy. Jacob Liberman, director of product management at NVIDIA,
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In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute
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