<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>VGPU on Cloudkaramchari</title><link>https://www.cloudkaramchari.com/tags/vgpu/</link><description>Recent content in VGPU on Cloudkaramchari</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>cloudkaramchari</copyright><lastBuildDate>Sat, 30 Mar 2024 14:04:38 +0530</lastBuildDate><atom:link href="https://www.cloudkaramchari.com/tags/vgpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Unlock GPU Savings: Azure ND H100 v5 VMs with NVIDIA vGPU Go GA!</title><link>https://www.cloudkaramchari.com/blog/unlock_gpu_savings_azure_nd_h100_v5_vms_with_nvidia_vgpu_go_ga/</link><pubDate>Sat, 30 Mar 2024 14:04:38 +0530</pubDate><guid>https://www.cloudkaramchari.com/blog/unlock_gpu_savings_azure_nd_h100_v5_vms_with_nvidia_vgpu_go_ga/</guid><description>
&lt;h1 id="unlock-gpu-savings-azure-nd-h100-v5-vms-with-nvidia-vgpu-go-ga">Unlock GPU Savings: Azure ND H100 v5 VMs with NVIDIA vGPU Go GA!&lt;/h1>
&lt;p>The cloud just got a whole lot more efficient! Microsoft Azure has announced the general availability (GA) of GPU partitioning on their ND H100 v5 Virtual Machines, powered by NVIDIA virtual GPU (vGPU) software. This is a game-changer for anyone running AI inference workloads, virtual workstations, or any application that can benefit from the immense power of GPUs but doesn't necessarily require a dedicated physical card 24/7. Let's dive into what this means for you and your cloud budget.&lt;/p></description></item></channel></rss>