How NVIDIA Uses NGINX

The article discusses the integration of NVIDIA BlueField-3 Data Processing Units (DPUs) with F5 BIG-IP Next for Kubernetes to enhance the deployment of agentic AI applications in cloud environment...

The article discusses how to scale Large Language Models (LLMs) using NVIDIA Triton and NVIDIA TensorRT-LLM in a Kubernetes environment.

The article discusses the NVIDIA VISTA-3D foundation model designed for segmenting organs and diseases in computed tomography (CT) images.

This article provides a comprehensive guide on deploying NVIDIA Riva for speech AI applications using Kubernetes, focusing on autoscaling and load balancing techniques.

The article discusses the collaboration between NVIDIA and VMware to provide VMware vSphere on NVIDIA BlueField DPUs, highlighting its availability through Dell Technologies.

The article discusses the challenges posed by increased traffic and virtualization in data centers and presents solutions through VirtIO offloading using NVIDIA's hardware.

The article discusses the importance of cloud-native applications in the context of edge AI, emphasizing the principles and steps necessary to prepare applications for cloud-native deployment using...

The article introduces Container Canary, an open-source tool designed to validate user-provided container images against specific platform requirements.

The article discusses The Spaghetti Detective, now known as Obico, an AI-based tool for monitoring 3D printing jobs to prevent failures.

The article discusses the transformative potential of 5G technology, highlighting its advantages over 4G LTE, including increased speeds, lower latency, and enhanced connectivity.

This article discusses the deployment of NVIDIA Triton Inference Server at scale using Multi-Instance GPU (MIG) and Kubernetes.

The article discusses the NVIDIA BlueField European Hackathon, which is part of a global series aimed at advancing data center innovation through DPU-based applications.

The article highlights key sessions from NVIDIA's GTC 21 focused on data center networking and ecosystem innovations, emphasizing the role of Data Processing Units (DPUs) in modern data centers.