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Start Up Your Engines: NVIDIA and Google Cloud Collaborate to Accelerate AI Development

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. The announcement, made today at Google Cloud Next ‘24 in Las Vegas, brings together the NVIDIA Inception program for startups and the Google for Startups Cloud Program to widen access to
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Visualizing Attention, a Transformer’s Heart | Chapter 6, Deep Learning

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Misc

Explainer: What Is Retrieval-Augmented Generation?

Stylized image of a RAG pipeline.Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses.Stylized image of a RAG pipeline.

Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses.

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NVIDIA Ranked by Fortune at No. 3 on ‘100 Best Companies to Work For’ List

NVIDIA jumped to No. 3 on the latest list of America’s 100 Best Companies to Work For by Fortune magazine and Great Place to Work. It’s the company’s eighth consecutive year and highest ranking yet on the widely followed list, published today, which more than a thousand businesses vie to land on. NVIDIA ranked sixth
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‘The Elder Scrolls Online’ Joins GeForce NOW for Game’s 10th Anniversary

Rain or shine, a new month means new games. GeForce NOW kicks off April with nearly 20 new games, seven of which are available to play this week. GFN Thursday celebrates the 10-year anniversary of ZeniMax Online Studios’ Elder Scrolls Online by bringing the award-winning online role-playing game (RPG) to the cloud this week. Plus,
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Misc

Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph, Part 2

Decorative image of graphs as light web.Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges…Decorative image of graphs as light web.

Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges extend beyond the typical concerns of neural network forward and backward computations, encompassing issues such as bandwidth-intensive graph feature gathering and sampling, and the limitations of single GPU capacities.

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A New Lens: Dotlumen CEO Cornel Amariei on Assistive Technology for the Visually Impaired

Dotlumen is illuminating a new technology to help people with visual impairments navigate the world. In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s founder and CEO, Cornel Amariei, about developing its flagship Dotlumen Glasses. Equipped with sensors and powered
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New Lab: Generative AI Inference with NVIDIA NIM

Decorative image of a person looking at a chatbot.Get started with NVIDIA NIM for deploying large language models (LLMs). Request access to a free, hands-on lab today.Decorative image of a person looking at a chatbot.

Get started with NVIDIA NIM for deploying large language models (LLMs). Request access to a free, hands-on lab today.

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Coming Up ACEs: Decoding the AI Technology That’s Enhancing Games With Realistic Digital Humans

Non-playable characters often play a crucial role in video game storytelling, but since they’re usually designed with a fixed purpose, they can get repetitive and boring — especially in vast worlds where there are thousands.

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Misc

Tune and Deploy LoRA LLMs with NVIDIA TensorRT-LLM

Large language models (LLMs) have revolutionized natural language processing (NLP) with their ability to learn from massive amounts of text and generate fluent…

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