Month: March 2025

Large language models (LLMs) have shown remarkable generalization capabilities in natural language processing (NLP). They are used in a wide range of…

Large language models (LLMs) have shown remarkable generalization capabilities in natural language processing (NLP). They are used in a wide range of applications, including translation, digital assistants, recommendation systems, context analysis, code generation, cybersecurity, and more. In automotive applications, there is growing demand for LLM-based solutions for both autonomous driving and…

Source

In modern software development, time is an incredibly valuable resource, especially during the compilation process. For developers working with CUDA C++ on…

In modern software development, time is an incredibly valuable resource, especially during the compilation process. For developers working with CUDA C++ on large-scale GPU-accelerated applications, optimizing compile times can significantly enhance productivity and streamline the entire development cycle. When using the compiler for offline compilation, efficient compilation times enable…

Source

A new AI education initiative in the State of Utah, developed in collaboration with NVIDIA, is set to advance the state’s commitment to workforce training and economic growth. The public-private partnership aims to equip universities, community colleges and adult education programs across Utah with the resources to develop skills in generative AI. “AI will continue
Read Article

Training AI models on massive GPU clusters presents significant challenges for model builders. Because manual intervention becomes impractical as job scale…

Training AI models on massive GPU clusters presents significant challenges for model builders. Because manual intervention becomes impractical as job scale increases, automation is critical to maintaining high GPU utilization and training productivity. An exceptional training experience requires resilient systems that provide low-latency error attribution and automatic fail over based on root…

Source

Explore the latest innovations in data center and cloud with sessions showcasing the full capabilities of the NVIDIA accelerated computing platform.

Source

Learn from and connect with leading AI developers building the next generation of AI agents.

Learn from and connect with leading AI developers building the next generation of AI agents.

Source

For the past 16 years, NVIDIA technologies have been working behind the scenes of every Academy Award-nominated film for Best Visual Effects. This year, three NVIDIA researchers — Essex Edwards, Fabrice Rousselle and Timo Aila — have been honored with Scientific and Technical Awards by the Academy of Motion Picture Arts and Sciences for their
Read Article

The NVIDIA RAPIDS Accelerator for Apache Spark software plug-in pioneered a zero code change user experience (UX) for GPU-accelerated data processing. It…

The NVIDIA RAPIDS Accelerator for Apache Spark software plug-in pioneered a zero code change user experience (UX) for GPU-accelerated data processing. It accelerates existing Apache Spark SQL and DataFrame-based applications on NVIDIA GPUs by over 9x without requiring a change to your queries or source code. This led to the new Spark RAPIDS ML Python library, which can speed up…

Source

Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents,…

Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents, and AI assistants. These systems demand retrieval processes that are accurate and computationally efficient to deliver precise insights, enhance user experiences, and maintain scalability. Retrieval-augmented generation (RAG) is used to…

Source