How NVIDIA Uses Less

The article discusses the NVIDIA Rubin platform, which introduces six new chips designed to create a powerful AI supercomputer.

The article discusses the challenges and solutions for scaling large Mixture-of-Experts (MoE) models using Wide Expert Parallelism on NVIDIA's NVL72 rack-scale systems.

The article discusses the release of two new open-source models, Qwen3-Next 80B-A3B-Thinking and Qwen3-Next 80B-A3B-Instruct, which utilize a hybrid Mixture of Experts (MoE) architecture to enhance...

The article discusses the advancements in the NVIDIA HPC SDK v25. 7, focusing on how unified memory programming simplifies ocean modeling on GPUs.

The article discusses the introduction of cuda-cccl, a Python library that provides high-level building blocks for NVIDIA CUDA kernel fusion, enabling developers to write efficient algorithms witho...

The article discusses how to leverage NVIDIA CUDA-X and Coiled to simplify data science workflows in the cloud, particularly for analyzing large datasets like NYC ride-share journeys.

Supermicro has launched a new JBOF powered by the NVIDIA BlueField data processing unit (DPU) to meet the growing demands of AI storage.

A group of Australian scientists is utilizing an AI-powered edge computing platform to monitor the health of Antarctic moss beds, which play a crucial role in the ecosystem and climate regulation.

The article discusses best practices for securing applications that utilize Large Language Models (LLMs).

The article provides a comprehensive guide on selecting the right camera for AI-based embedded systems, particularly focusing on the NVIDIA Jetson platform.

The article discusses the optimization of Extract-Transform-Load (ETL) operations using GPUs, specifically through the NVIDIA RAPIDS Accelerator for Apache Spark.

The article discusses how the NVIDIA RAPIDS Accelerator for Apache Spark can significantly enhance the performance and cost-effectiveness of extract-transform-load (ETL) processes, particularly for...

The article discusses the NVIDIA Merlin HugeCTR Hierarchical Parameter Server (HPS) designed to enhance the performance of large-scale recommendation systems by utilizing GPU memory for embedding l...

This article discusses the training of a large-scale recommender system with over 113 billion parameters using hybrid-parallel training on NVIDIA's DGX A100 with TensorFlow 2.

NVIDIA Virtual Reality Capture and Replay (VCR) allows developers to capture and replay VR sessions for testing and troubleshooting, addressing the challenges of recording immersive experiences.

The article discusses the transformative impact of AI-enabled edge computing in the retail sector, highlighting three key pillars: improving in-store experiences, personalizing online shopping, and...

The article discusses the acceleration of AI modules for ROS and ROS 2 on the NVIDIA Jetson platform, highlighting the ease of use and comprehensive support for AI workloads.

The article discusses how to build intelligent video analytics applications using NVIDIA DeepStream 5.

This article discusses the utilization of the hardware JPEG decoder and the NVIDIA nvJPEG library on NVIDIA A100 GPUs to enhance image processing efficiency.

This article provides a comprehensive guide on deploying real-time Text-to-Speech (TTS) applications using NVIDIA's TensorRT, focusing on the conversion of PyTorch models to TensorRT for optimized ...

NVIDIA has achieved a groundbreaking milestone by training BERT-Large in just 47 minutes using the DGX SuperPOD, and has also developed the largest Transformer-based model, GPT-2 8B, with 8.

The article discusses five innovative AI speech applications that utilize NVIDIA's GPUs for inference, addressing challenges in speech recognition and natural language processing.

Researchers from the Max Planck Institute for Intelligent Systems developed an end-to-end deep learning algorithm called Voice Operated Character Animation (VOCA) that animates adult faces based on...

The article introduces the Turing architecture's mesh shaders, which enhance the graphics pipeline by allowing for programmable geometric shading.

Researchers at Ohio State University have developed a GPU-accelerated program utilizing deep learning to isolate speech from background noise, significantly enhancing hearing aid functionality.

The article discusses the introduction of NVIDIA's new Pascal GPUs, specifically the Tesla P4 and P40, which are designed to enhance deep learning inference in data centers.