https://store-images.s-microsoft.com/image/apps.44976.7611db3b-df70-4e1b-a43a-96c5df6c6ea4.d6efaa56-7062-43e8-8dcc-ed77a166bf21.d58b2362-2b0c-415f-97bb-cb4ed0a84aed

Cloudtrio Pytorch with Windows 2022

por Cloudtrio Solutions

PyTorch on Windows Server provides a powerful deep learning framework environment for building training and deploying AI models on Microsoft Azure.

Headline: Deploy Production-Ready PyTorch Environment in Minutes on Windows Server 2022

Summary: Avoid the complexity of installing Python, deep learning libraries, and system dependencies on Windows. This image delivers a fully configured, secure, and production-ready PyTorch environment on Windows Server 2022 — ideal for deep learning model development, training, and inference workloads on Microsoft Azure.

Why use this Image?

  • Instant Launch: PyTorch comes pre-installed with Python and essential scientific libraries. Start building and training deep learning models immediately after deployment.
  • Optimized for AI Workloads: Designed for fast model training, GPU/CPU compatibility, and scalable performance for CV, NLP, and AI applications.
  • Windows-Optimized: Built on Windows Server 2022 with proper PATH setup and runtime configuration for stable Python execution.
  • Cloud-Ready: Suitable for Azure VMs, enabling scalable ML experimentation, model training jobs, and production inference deployments.
  • Ideal For: Data scientists, ML engineers, researchers, and developers working on deep learning, computer vision, NLP, and AI-powered systems.

Get Started: Click “Get it now” to launch.

Installed Versions:

  • PyTorch: Latest stable release
  • Python: Latest stable 3.x
  • OS: Windows Server 2022

How to Verify Your Installation:

  • Open PowerShell as Administrator.
  • py --version : Verify the installed Python version.
  • py -m pip --version : Verify the installed Pip version.
  • py -c "import torch; print(torch.__version__)" : Verify PyTorch installation.
  • py -c "import torch; print('CUDA Available:', torch.cuda.is_available())" : Check GPU/CUDA availability (if applicable).

About CloudTrio Solutions

CloudTrio Solutions specializes in delivering secure, high-performance, and production-ready cloud images for Microsoft Azure.
Each image is thoroughly tested, optimized, and validated to ensure long-term reliability and smooth operation.

Our mission is simple:
Deliver enterprise-grade cloud solutions that reduce setup time, improve performance, and minimize operational overhead.

24/7 Expert Support

All CloudTrio images include access to expert support from certified cloud engineers.

  • Email: support@cloudtriosolutions.com
  • Phone: Available 24/7 for paid support subscribers
  • Assistance with PyTorch setup, environment optimization, GPU enablement, training workflows, and Azure scaling.

Useful Links

Managed Azure Services
CloudTrio Solutions – Official Website

Disclaimer: CloudTrio Solutions does not provide commercial licenses for PyTorch, Python, or any open-source software included in this image.
All components are distributed under their respective open-source licenses.

Default Ports: None (Library / Framework Environment)
Allowed Ports: 3389 (RDP)

© CloudTrio Solutions. All rights reserved.