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PyTorch GPU Optimized VM

A GPU-optimized VM with PyTorch, NVIDIA drivers, and CUDA pre-installed — clone your repo and start training immediately. Skip the driver-and-CUDA install dance — deploy onto an Azure N-series size and get to work. Published and maintained by DC Associates Group: freshly rebuilt against current security advisories and deployable straight from the Azure Marketplace into your own subscription.

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Version: PyTorch + NVIDIA CUDAPlatform: Microsoft AzureCategory: AI & GPU

What's included

  • PyTorch + NVIDIA CUDA pre-installed and validated
  • Ubuntu base with automatic security updates enabled
  • Validated against Azure GPU (N-series) VM sizes
  • Trusted Launch support: Secure Boot + vTPM
  • Azure Monitor Agent, Defender for Cloud, and Update Manager install cleanly

Quick start

  1. Deploy from the Azure Marketplace onto an N-series (GPU) VM size.
  2. Allow inbound SSH (22) for yourself — restrict to your own IP where possible.
  3. SSH in and verify the GPU with `nvidia-smi`, then clone your project and run.

Common use cases

  • PyTorch model training
  • Fine-tuning and inference serving
  • Research experimentation on N-series VMs
  • Notebook-driven GPU development

Why our images

Freshly rebuilt against the latest security advisories, no shared default credentials, Trusted Launch support, and automatic OS security updates — everything runs in your own Azure subscription under your governance.

Need help?

Product support page
support@dcassociatesgroup.com
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Deploy PyTorch GPU Optimized VM in minutes

Production-ready, hardened, and maintained. Deploy straight from the Azure Marketplace into your subscription.

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