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NVIDIA Unveils NVLink Fusion for Industry to Build Semi-Custom AI Infrastructure With NVIDIA Partner Ecosystem

MediaTek, Marvell, Alchip Technologies, Astera Labs, Synopsys and Cadence to Create Custom AI Silicon With NVIDIA NVLink EcosystemFujitsu and Qualcomm Each Plan to Build Custom CPUs Coupled …

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Deploy AI-RAN at Cell Sites with NVIDIA ARC-Compact 

ARC-Compact illustration.Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits…ARC-Compact illustration.

Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits of AI-RAN are driving the transformation of telecom networks and ecosystems toward AI-native wireless networks. The mission is to create an intelligent network fabric that connects hundreds of billions of AI-powered endpoints such as…

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R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research

Decorative image.This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from…Decorative image.

This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and scalability. Contact-rich manipulation refers to robotic tasks that involve continuous or repeated physical contact…

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Building the Modular Foundation for AI Factories with NVIDIA MGX

The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center…

The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center infrastructure. Traditional server architectures struggle to accommodate the power density, thermal requirements, and rapid iteration cycles of modern accelerated computing. This post explains the benefits of NVIDIA MGX…

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Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled

An image of NYC taxis.Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup…An image of NYC taxis.

Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup locations. The publicly available New York City Taxi and Limousine Commission (TLC) Trip Record Data contains valuable information that could reveal game-changing insights, but traditional processing approaches leave analysts waiting hours for results…

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Predicting Performance on Apache Spark with GPUs

The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform…

The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform for scale-out analytics, handling massive datasets for ETL, machine learning, and deep learning workloads. While traditionally CPU-based, the advent of GPU acceleration offers a compelling promise: significant speedups for data processing…

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Exploring the Revenue-Generating Potential of AI Factories

AI is creating value for everyone — from researchers in drug discovery to quantitative analysts navigating financial market changes. The faster an AI system can produce tokens, a unit of data used to string together outputs, the greater its impact. That’s why AI factories are key, providing the most efficient path from “time to first
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Accelerating Embedding Lookups with cuEmbed

A drawing of a person holding a phone, with a callout of the phone screen and chat bubbles.NVIDIA recently released cuEmbed, a high-performance, header-only CUDA library that accelerates embedding lookups on NVIDIA GPUs. If you’re building…A drawing of a person holding a phone, with a callout of the phone screen and chat bubbles.

NVIDIA recently released cuEmbed, a high-performance, header-only CUDA library that accelerates embedding lookups on NVIDIA GPUs. If you’re building recommendation systems, embedding operations are likely consuming significant computational resources. Embedding lookups present a unique optimization challenge. They’re memory-intensive operations with irregular access patterns.

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AI Helps Uncover Potential Alzheimer’s Cause and Treatment

A gene that can be an early indicator for Alzheimer’s disease actually is a cause of the degenerative-brain disorder, said researchers at the University of…

A gene that can be an early indicator for Alzheimer’s disease actually is a cause of the degenerative-brain disorder, said researchers at the University of California, San Diego. That finding, which they discovered using AI, could result in new treatment options. In a paper published in April in the scientific journal Cell, a team at UCSD found that the gene PHGDH—previously considered a…

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Path Tracing Optimization in Indiana Jones™: Shader Execution Reordering and Live State Reductions

This post is part of the Path Tracing Optimizations in Indiana Jones™ series.   While adding a path-tracing mode to Indiana Jones and the Great Circle™…

This post is part of the Path Tracing Optimizations in Indiana Jones series. While adding a path-tracing mode to Indiana Jones and the Great Circle in 2024, we used Shader Execution Reordering (SER), a feature available on NVIDIA GPUs since the NVIDIA GeForce RTX 40 Series, to improve the GPU performance. To optimize the use of SER in the main path-tracing pass (), we used the NVIDIA…

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