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Cloud Ahoy! Treasure Awaits With ‘Sea of Thieves’ on GeForce NOW

Set sail for adventure, pirates. Sea of Thieves makes waves in the cloud this week. It’s an adventure-filled GFN Thursday with four new games joining the GeForce NOW library. Plus, members are sharing their favorite locations they can access from the cloud. Follow along all month on @NVIDIAGFN social media accounts and post your own
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NVIDIA Stockholder Meeting Set for June 26; Individuals Can Participate Online

SANTA CLARA, Calif., June 12, 2024 — NVIDIA today announced it will hold its 2024 Annual Meeting of Stockholders online on Thursday, June 26, at 9 a.m. PT. The meeting will …

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Introducing Grouped GEMM APIs in cuBLAS and More Performance Updates

The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance…

The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance computing (HPC) workloads. This post provides an overview of the following updates on cuBLAS matrix multiplications (matmuls) since version 12.0, and a walkthrough: Grouped GEMM APIs can be viewed as a generalization of the batched…

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Every Company’s Data is Their ‘Gold Mine,’ NVIDIA CEO Says at Databricks Data + AI Summit

Accelerated computing is transforming data processing and analytics for enterprises, declared NVIDIA founder and CEO Jensen Huang Wednesday during an on-stage chat with Databricks cofounder and CEO Ali Ghodsi at the Databricks Data + AI Summit 2024. “Every company’s business data is their gold mine,” Huang said, explaining that every company has enormous amounts of
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Demystifying AI Inference Deployments for Trillion Parameter Large Language Models

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

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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Scaling to New Heights: NVIDIA MLPerf Training Results Showcase Unprecedented Performance and Elasticity

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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NVIDIA Sets New Generative AI Performance and Scale Records in MLPerf Training v4.0

Decorative image of rows of GPUs.Generative AI models have a variety of uses, such as helping write computer code, crafting stories, composing music, generating images, producing videos, and…Decorative image of rows of GPUs.

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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Nerding About NeRFs: How Neural Radiance Fields Transform 2D Images Into Hyperrealistic 3D Models

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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TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

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

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Maximum Performance and Minimum Footprint for AI Apps with NVIDIA TensorRT Weight-Stripped Engines

Decorative image of TensorRT workflow on a black background.NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX…Decorative image of TensorRT workflow on a black background.

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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