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NVIDIA Hopper Leaps Ahead in Generative AI at MLPerf

It’s official: NVIDIA delivered the world’s fastest platform in industry-standard tests for inference on generative AI. In the latest MLPerf benchmarks, NVIDIA TensorRT-LLM — software that speeds and simplifies the complex job of inference on large language models — boosted the performance of NVIDIA Hopper architecture GPUs on the GPT-J LLM nearly 3x over their
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NVIDIA H200 Tensor Core GPUs and NVIDIA TensorRT-LLM Set MLPerf LLM Inference Records

An image of an NVIDIA H200 Tensor Core GPU.Generative AI is unlocking new computing applications that greatly augment human capability, enabled by continued model innovation. Generative AI…An image of an NVIDIA H200 Tensor Core GPU.

Generative AI is unlocking new computing applications that greatly augment human capability, enabled by continued model innovation. Generative AI models—including large language models (LLMs)—are used for crafting marketing copy, writing computer code, rendering detailed images, composing music, generating videos, and more. The amount of compute required by the latest models is immense and…

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Viome’s Guru Banavar Discusses AI for Personalized Health

In the latest episode of NVIDIA’s AI Podcast, Viome Chief Technology Officer Guru Banavar spoke with host Noah Kravitz about how AI and RNA sequencing are revolutionizing personalized healthcare. The startup aims to tackle the root causes of chronic diseases by delving deep into microbiomes and gene expression. With a comprehensive testing kit, Viome translates
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Unlocking Peak Generations: TensorRT Accelerates AI on RTX PCs and Workstations

As generative AI advances and becomes widespread across industries, the importance of running generative AI applications on local PCs and workstations grows.

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Boom in AI-Enabled Medical Devices Transforms Healthcare

The future of healthcare is software-defined and AI-enabled. Around 700 FDA-cleared, AI-enabled medical devices are now on the market — more than 10x the number available in 2020.   Many of the innovators behind this boom announced their latest AI-powered solutions at NVIDIA GTC, a global conference that last week attracted more than 16,000 business leaders,
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Model Innovators: How Digital Twins Are Making Industries More Efficient

A manufacturing plant near Hsinchu, Taiwan’s Silicon Valley, is among facilities worldwide boosting energy efficiency with AI-enabled digital twins. A virtual model can help streamline operations, maximizing throughput for its physical counterpart, say engineers at Wistron, a global designer and manufacturer of computers and electronics systems. In the first of several use cases, the company
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Into the Omniverse: Groundbreaking OpenUSD Advancements Put NVIDIA GTC Spotlight on Developers

Editor’s note: This post is part of Into the Omniverse, a series focused on how artists, developers and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. The Universal Scene Description framework, aka OpenUSD, has emerged as a game-changer for building virtual worlds and accelerating creative workflows. It can ease
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NVIDIA Blackwell and Automotive Industry Innovators Dazzle at NVIDIA GTC

Generative AI, in the data center and in the car, is making vehicle experiences safer and more enjoyable. The latest advancements in automotive technology were on display last week at NVIDIA GTC, a global AI conference that drew tens of thousands of business leaders, developers and researchers from around the world. The event kicked off
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New Architecture: NVIDIA Blackwell

Image of the NVIDIA Blackwell GPU.Learn how the NVIDIA Blackwell GPU architecture is revolutionizing AI and accelerated computing.Image of the NVIDIA Blackwell GPU.

Learn how the NVIDIA Blackwell GPU architecture is revolutionizing AI and accelerated computing.

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Building High-Performance Applications in the Era of Accelerated Computing

Illustration representing HPC.AI is augmenting high-performance computing (HPC) with novel approaches to data processing, simulation, and modeling. Because of the computational requirements…Illustration representing HPC.

AI is augmenting high-performance computing (HPC) with novel approaches to data processing, simulation, and modeling. Because of the computational requirements of these new AI workloads, HPC is scaling up at a rapid pace. To enable applications to scale to multi-GPU and multi-node platforms, HPC tools and libraries must support that growth. NVIDIA provides a comprehensive ecosystem of…

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