Cloudtrio XGBoost on Windowsserver2019
Cloudtrio Solutions · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Headline: Deploy Production-Ready Python & XGBoost on Windows Server 2019
Summary: Eliminate the complexity of configuring Python environments and machine learning libraries. This image provides a fully optimized, secure, and production-ready Windows Server 2019 environment with Python and XGBoost — ideal for machine learning, predictive analytics, and data science workloads on Microsoft Azure.
Show the rest of the publisher’s description (29 more lines)
Why use this Image?
- Instant Launch: Python, XGBoost, and required dependencies come pre-installed. Start building machine learning models immediately after deployment.
- Optimized for Performance: Configured for high-performance gradient boosting, efficient numerical computation, and scalable machine learning workflows suitable for enterprise workloads.
- Azure-Optimized: Clean Windows Server 2019 base image tailored for Azure Virtual Machines, with organized directories for projects, logs, and virtual environments to ensure reliability and maintainability.
- Secure and Reliable: Built on Windows Server 2019 with enterprise-grade stability and security best practices for production deployments.
- Ideal For: Data scientists, machine learning engineers, AI researchers, and developers building predictive models, analytics platforms, and Python-based ML solutions on Azure.
Get Started: Click “Get it now” to launch.
How to Verify Your Installation:
- Open PowerShell as Administrator.
- python --version : Verify Python installation.
- python -c "import xgboost; print(xgboost.__version__)" : Confirm XGBoost is installed.
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 Python environment setup, machine learning workflows, model 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: None (GUI & CLI-based environment)
Allowed Ports: 3389 (RDP), 80 (TCP), 443 (TCP)
© CloudTrio Solutions. All rights reserved.
Agent build and provenance
See the full provenance
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.