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Misc

NVIDIA Sets Conference Call for Third-Quarter Financial Results

SANTA CLARA, Calif., Oct. 30, 2024 — NVIDIA will host a conference call on Wednesday, November 20, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the third quarter of fiscal year…

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Misc

Spooks Await at the ‘Haunted Sanctuary,’ Built With RTX and AI

Among the artists using AI to enhance and accelerate their creative endeavors is Sabour Amirazodi, a creator and tech marketing and workflow specialist at NVIDIA.

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Misc

AI-Powered Devices Track Howls to Save Wolves

Close-up shot of a wolf howling. Courtesy of Pexels/patrice schoefolt.A new cell-phone-sized device—which can be deployed in vast, remote areas—is using AI to identify and geolocate wildlife to help conservationists track…Close-up shot of a wolf howling. Courtesy of Pexels/patrice schoefolt.

A new cell-phone-sized device—which can be deployed in vast, remote areas—is using AI to identify and geolocate wildlife to help conservationists track endangered species, including wolves around Yellowstone National Park. The battery-powered devices—dubbed GrizCams—are designed by a small Montana startup, Grizzly Systems. Together with biologists, they’re deploying a constellation of the…

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Misc

A New ERA of AI Factories: NVIDIA Unveils Enterprise Reference Architectures

As the world transitions from general-purpose to accelerated computing, finding a path to building data center infrastructure at scale is becoming more important than ever. Enterprises must navigate uncharted waters when designing and deploying infrastructure to support these new AI workloads. Constant developments in model capabilities and software frameworks, along with the novelty of these
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Misc

A New ERA of AI Factories: NVIDIA Unveils Enterprise Reference Architectures

As the world transitions from general-purpose to accelerated computing, finding a path to building data center infrastructure at scale is becoming more important than ever. Enterprises must navigate uncharted waters when designing and deploying infrastructure to support these new AI workloads. Constant developments in model capabilities and software frameworks, along with the novelty of these
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Misc

Enhanced Security and Streamlined Deployment of AI Agents with NVIDIA AI Enterprise

NVIDIA AI Enterprise use cases as cards on a black background, with the logo in front.AI agents are emerging as the newest way for organizations to increase efficiency, improve productivity, and accelerate innovation. These agents are more…NVIDIA AI Enterprise use cases as cards on a black background, with the logo in front.

AI agents are emerging as the newest way for organizations to increase efficiency, improve productivity, and accelerate innovation. These agents are more advanced than prior AI applications, with the ability to autonomously reason through tasks, call out to other tools, and incorporate both enterprise data and employee knowledge to produce valuable business outcomes. They’re being embedded into…

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Misc

Enhanced Security and Streamlined Deployment of AI Agents with NVIDIA AI Enterprise

NVIDIA AI Enterprise use cases as cards on a black background, with the logo in front.AI agents are emerging as the newest way for organizations to increase efficiency, improve productivity, and accelerate innovation. These agents are more…NVIDIA AI Enterprise use cases as cards on a black background, with the logo in front.

AI agents are emerging as the newest way for organizations to increase efficiency, improve productivity, and accelerate innovation. These agents are more advanced than prior AI applications, with the ability to autonomously reason through tasks, call out to other tools, and incorporate both enterprise data and employee knowledge to produce valuable business outcomes. They’re being embedded into…

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Misc

Universal Assisted Generation: Faster Decoding with Any Assistant Model

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gate.io

An Introduction to Model Merging for LLMs

One challenge organizations face when customizing large language models (LLMs) is the need to run multiple experiments, which produces only one useful model….

One challenge organizations face when customizing large language models (LLMs) is the need to run multiple experiments, which produces only one useful model. While the cost of experimentation is typically low, and the results well worth the effort, this experimentation process does involve “wasted” resources, such as compute assets spent without their product being utilized…

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Misc

Upcoming Webinar: Enhance Generative AI Model Accuracy Through High-Quality Data Processing

Learn how to build scalable data processing pipelines to create high-quality datasets.

Learn how to build scalable data processing pipelines to create high-quality datasets.

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