Month: March 2024

Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural…

Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural language. Enterprises are customizing these models for even greater application-specific effectiveness to deliver higher accuracy and improved responses to end users. However, customizing LLMs for specific tasks can cause the model…

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Learn how to use RAPIDS to speed up your CPU-based data science workflows.

Learn how to use RAPIDS to speed up your CPU-based data science workflows.

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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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Generative AI is unlocking new computing applications that greatly augment human capability, enabled by continued model innovation. Generative AI…

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

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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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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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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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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