Month: May 2025

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

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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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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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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NVIDIA recently released cuEmbed, a high-performance, header-only CUDA library that accelerates embedding lookups on NVIDIA GPUs. If you’re building…

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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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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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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The first post in this series, Path Tracing Optimization in Indiana Jones™: Shader Execution Reordering and Live State Reductions, covered ray-gen shader…

The first post in this series, Path Tracing Optimization in Indiana Jones™: Shader Execution Reordering and Live State Reductions, covered ray-gen shader level optimizations that sped up the main path-tracing pass (“TraceMain”) of Indiana Jones and the Great Circle™. This second blog post covers additional GPU optimizations that were made at the level of the ray-tracing acceleration…

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