How NVIDIA Uses Spring

The article discusses the capabilities and performance enhancements of the NVIDIA Jetson AGX Orin modules, highlighting their role in advancing AI-powered robotics and edge applications.

The article discusses major updates to NVIDIA's Riva SDK for building speech AI applications and the NeMo framework for training large language models.

The article provides an in-depth look at NVIDIA's Hopper architecture and its new H100 Tensor Core GPU, highlighting significant advancements in performance, efficiency, and architectural features ...

2021 was a pivotal year for NVIDIA Omniverse, an open platform designed for 3D design collaboration and real-time simulation, which became widely accessible to creators, developers, and enterprise ...

NVIDIA has released an updated Edge AI and Robotics Teaching Kit aimed at university educators, developed in collaboration with experts from the University of Oxford and the University of Maryland,...

NVIDIA and the University of Southern California introduced DiSECt, the first differentiable simulation engine for robotic cutting, at the 2021 Robotics: Science and Systems conference.

This article discusses the winning solution by NVIDIA's team in the Booking.

The article discusses the latest enhancements in NVIDIA Merlin's . 5 release, which streamline recommender workflows for machine learning engineers.

This article is the second part of a series on building deep learning-powered recommender systems, focusing on the application of deep learning techniques to enhance recommendation quality.

This article provides an introduction to recommender systems, exploring their importance in various online services and detailing the computational challenges they face.

NVIDIA is enhancing recommender workflows through its open-source framework, Merlin, which supports machine learning engineers and data scientists in addressing the challenges of scaling personaliz...

The article discusses how Spark 3. 0 and XGBoost can be accelerated using GPUs to enhance machine learning workflows, focusing on end-to-end training and hyperparameter tuning.