Category: Misc

As large language models (LLMs) continue to grow in size and complexity, multi-GPU compute is a must-have to deliver the low latency and high throughput that…

As large language models (LLMs) continue to grow in size and complexity, multi-GPU compute is a must-have to deliver the low latency and high throughput that real-time generative AI applications demand. Performance depends both on the ability for the combined GPUs to process requests as “one mighty GPU” with ultra-fast GPU-to-GPU communication and advanced software able to take full…

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Large language models are driving some of the most exciting developments in AI with their ability to quickly understand, summarize and generate text-based content.

This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning…

This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis is an application framework and set of developer tools that leverages AI for visual data analysis across industries. Its multi-camera tracking reference…

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The advent of large language models (LLMs) has significantly benefited the AI industry, offering versatile tools capable of generating human-like text and…

The advent of large language models (LLMs) has significantly benefited the AI industry, offering versatile tools capable of generating human-like text and handling a wide range of tasks. However, while LLMs demonstrate impressive general knowledge, their performance in specialized fields, such as veterinary science, is limited when used out of the box. To enhance their utility in specific areas…

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In today’s rapidly evolving technological landscape, staying ahead of the curve is not just a goal—it’s a necessity. The surge of innovations, particularly…

In today’s rapidly evolving technological landscape, staying ahead of the curve is not just a goal—it’s a necessity. The surge of innovations, particularly in AI, is driving dramatic changes across the technology stack. One area witnessing profound transformation is Ethernet networking, a cornerstone of digital communication that has been foundational to enterprise and data center…

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Now available—NIM Agent Blueprints for digital humans, multimodal PDF data extraction, and drug discovery.

Now available—NIM Agent Blueprints for digital humans, multimodal PDF data extraction, and drug discovery.

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The initial wave of generative AI was driven by its use in internet services that showed incredible new possibilities with tools that could help people write, research and imagine faster than ever. The second wave of generative AI is now here, powered by the availability of advanced open-source foundation models, as well as advancements in
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NVIDIA today announced NVIDIA NIM™ Agent Blueprints, a catalog of pretrained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation and drug discovery virtual screening.

Aiming at making the process faster and smarter, NVIDIA on Wednesday released the NIM Agent Blueprint for generative AI-based virtual screening. This innovative approach will reduce the time and cost of developing life-saving drugs, enabling quicker access to critical treatments for patients. This NIM Agent Blueprint introduces a paradigm shift in the drug discovery process,
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