Category: Misc

AI is transforming every industry, addressing grand human scientific challenges such as precision drug discovery and the development of autonomous vehicles, as…

AI is transforming every industry, addressing grand human scientific challenges such as precision drug discovery and the development of autonomous vehicles, as well as solving commercial problems such as automating the creation of e-commerce product descriptions and extracting insights from legal contracts. Today, every enterprise is exploring the potential of large language models (LLMs) to…

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The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core
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Generative AI models have a variety of uses, such as helping write computer code, crafting stories, composing music, generating images, producing videos, and…

Generative AI models have a variety of uses, such as helping write computer code, crafting stories, composing music, generating images, producing videos, and more. And, as these models continue to grow in size and are trained on even more data, they are producing even higher-quality outputs. Building and deploying these more intelligent models is incredibly compute-intensive…

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The era of the AI PC is here, and it’s powered by NVIDIA RTX and GeForce RTX technologies.

Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder and managing editor of radiancefields.com, about radiance field-based technologies.
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NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX…

NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX GPUs. Now, deploying TensorRT into apps has gotten even easier with prebuilt TensorRT engines. The newly released TensorRT 10.0 with weight-stripped engines offers a unique solution for minimizing the engine shipment size by reducing…

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 Join the webinar on June 11th with NVIDIA and Super Protocol to learn about the benefits of Confidential Computing for Web3 AI.

Join the webinar on June 11th with NVIDIA and Super Protocol to learn about the benefits of Confidential Computing for Web3 AI.

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As cyberattacks become more sophisticated, organizations must constantly adapt with cutting-edge solutions to protect their critical assets. One such solution…

As cyberattacks become more sophisticated, organizations must constantly adapt with cutting-edge solutions to protect their critical assets. One such solution is Cisco Secure Workload, a comprehensive security solution designed to safeguard application workloads across diverse infrastructures, locations, and form factors. Cisco recently announced version 3.9 of the Cisco Secure Workload…

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In today’s digital age, creating realistic animated characters is crucial for filmmakers, game developers, and content creators looking to bring their visions…

In today’s digital age, creating realistic animated characters is crucial for filmmakers, game developers, and content creators looking to bring their visions to life. Reallusion is at the forefront of this cutting-edge art form, using powerful AI technologies like NVIDIA Audio2Face and NVIDIA Maxine to craft lifelike digital humans and character animations. A major challenge exists in…

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The latest embedding model from NVIDIA—NV-Embed—set a new record for embedding accuracy with a score of 69.32 on the Massive Text Embedding Benchmark…

The latest embedding model from NVIDIA—NV-Embed—set a new record for embedding accuracy with a score of 69.32 on the Massive Text Embedding Benchmark (MTEB), which covers 56 embedding tasks. Highly accurate and effective models like NV-Embed are key to transforming vast amounts of data into actionable insights. NVIDIA provides top-performing models through the NVIDIA API catalog.

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