Tag: edge computing

AI / Deep Learning

Announcing containerd Support for the NVIDIA GPU Operator

For many years, was the only container runtime supported by Kubernetes. Over time, support for other runtimes has not only become possible but often preferred… 5 MIN READ
AI / Deep Learning

Adding More Support in NVIDIA GPU Operator

Reliably provisioning servers with GPUs can quickly become complex as multiple components must be installed and managed to use GPUs with Kubernetes. 6 MIN READ
AI / Deep Learning

Accelerating Intelligent Video Analytics Using Ultra-Efficient 5G Core with Mavenir and NVIDIA Edge AI

For the past decade and a half, an increasing number of businesses have moved their traditional IT applications from on-premises to public clouds. 10 MIN READ
AI / Deep Learning

Deploying GPUDirect RDMA on the EGX Stack with the NVIDIA Network Operator

Edge computing takes place close to the data source to reduce network stress and improve latency. GPUs are an ideal compute engine for edge computing because… 16 MIN READ
AI / Deep Learning

Building an Accelerated 5G CloudRAN at the Edge

Fifth-generation networks (5G) are ushering in a new era in wireless communications that delivers 1000X the bandwidth and 100X the speed at 1/10 th the latency… 8 MIN READ

NVIDIA GPU Operator: Simplifying GPU Management in Kubernetes

Over the last few years, NVIDIA has leveraged GPU containers in a variety of ways for testing, development and running AI workloads in production at scale. 11 MIN READ