Tensorflow-On-Ubuntu24
Cloudtrio Solutions · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Headline: Deploy Production-Ready TensorFlow Environment in Minutes on Ubuntu 24.04 LTS
Summary: Eliminate the complexity of setting up Python environments, machine learning libraries, and system dependencies. This image delivers a fully optimized, secure, and production-ready TensorFlow environment on Ubuntu 24.04 LTS (Noble) — ideal for AI development, deep learning, data science, model training, and intelligent automation workloads on Microsoft Azure.
Show the rest of the publisher’s description (29 more lines)
Why use this Image?
- Instant Launch: TensorFlow comes pre-installed with Python, pip, virtual environment support, and all required system libraries. Start building, training, and testing machine learning models immediately after deployment.
- Optimized for AI Performance: Python and TensorFlow configurations are tuned for stable execution, efficient computation, and reproducible machine learning workflows.
- Ubuntu LTS Stability: Built on Ubuntu 24.04 LTS, providing long-term security updates, modern package versions, and enterprise-grade reliability.
- Cloud-Optimized: Azure-ready Ubuntu base image with clean system configuration, optimized networking, and structured directories to support scalable AI and data science workloads.
- Ideal For: Data scientists, AI engineers, researchers, developers, startups, and enterprises building machine learning, deep learning, analytics, and automation solutions using TensorFlow.
Get Started: Click “Get it now” to launch.
How to Verify Your Installation:
- python3 --version : Verify the installed Python version.
- pip3 show tensorflow : Confirm that TensorFlow is installed.
- python3 -c "import tensorflow as tf; print(tf.__version__)" : Verify the TensorFlow installation and 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 on Ubuntu LTS platforms to ensure reliable TensorFlow operations and long-term system stability.
Our mission is simple:
Deliver enterprise-grade cloud solutions that reduce setup time, improve AI development productivity, 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 TensorFlow setup, Python environments, model deployment, performance tuning, GPU readiness, security hardening, and Azure scaling architecture.
Useful Links
Managed Azure Services
CloudTrio Solutions – Official Website
Disclaimer: CloudTrio Solutions does not provide commercial licenses for TensorFlow or any open-source software included in this image.
All components are distributed under their respective open-source licenses.
Default Ports: None exposed by default
Allowed Ports: 22 (SSH), 8888 (TCP), 80 (TCP), 443 (TCP)
© CloudTrio Solutions. All rights reserved.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.