https://store-images.s-microsoft.com/image/apps.38748.c20510c2-8dd9-4590-a713-ea2deb5123ed.e9124a08-43aa-4af5-810d-49954be0545a.fe811b2d-1caa-4c84-8a91-76775dc17ad9

Pytorch-On-Ubuntu24-04LTS

بواسطة Cloudtrio Solutions

PyTorch is used to develop, train, and deploy machine learning and deep learning models efficiently.

Headline: Deploy Production-Ready PyTorch on Linux (Debian 12) in Minutes

Summary: Skip the complexity of configuring Python environments, CUDA dependencies, and deep learning libraries. This image delivers a fully optimized, secure, and production-ready PyTorch environment on Debian 12 — ideal for machine learning, deep learning, AI research, and enterprise-grade model development on Microsoft Azure.

Why use this Image?

  • Instant Launch: PyTorch is pre-installed with Python, pip, virtual environment support, and essential scientific libraries. Start training, testing, and deploying models immediately after deployment.
  • Optimized for Performance: Tuned Python runtime and system libraries ensure efficient CPU utilization and smooth GPU integration (CUDA-ready for Azure GPU VM sizes).
  • Cloud-Optimized: Clean Debian 12 base image tailored for Azure VMs, with structured directories for projects, datasets, logs, and model checkpoints—supporting reliable and scalable AI workflows.
  • Ideal For: Data scientists, ML engineers, researchers, and organizations building deep learning models, computer vision systems, NLP pipelines, and AI-powered applications using PyTorch on cloud infrastructure.

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

How to Verify Your Installation:

  • sudo su : Switch to Super User.
  • cd /root/ : Navigate to the working directory.
  • python3 -c "import torch; print(torch.__version__)" : Verify the installed PyTorch version.

About CloudTrio Solutions

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

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

24/7 Expert Support

All CloudTrio images include dedicated support from certified cloud engineers.

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

Useful Links

Managed Azure Services
CloudTrio Solutions – Official Website

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

Default Ports: 22 (SSH)
Allowed Ports: 22 (TCP)

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