Cloudtrio OpenAI Gym with Windows2019
Cloudtrio Solutions · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Headline: Deploy Production-Ready OpenAI Gym on Windows Server 2019
Summary: Eliminate the complexity of setting up a reinforcement learning environment on Windows. This image delivers a fully configured, secure, and ready-to-use OpenAI Gym environment on Windows Server 2019 — ideal for developing, training, and evaluating Reinforcement Learning (RL) algorithms on Microsoft Azure.
Show the rest of the publisher’s description (32 more lines)
Why use this Image?
- Instant Launch: OpenAI Gym and required Python dependencies are pre-installed and configured. Start building and testing reinforcement learning models immediately after VM deployment.
- Optimized for AI & ML Workloads: Designed for stable execution of reinforcement learning experiments, simulations, and algorithm benchmarking.
- Standardized RL Environments: Includes classic control, simulation, and benchmarking environments widely used in AI research and education.
- Stable Windows Server Platform: Built on Windows Server 2019, providing enterprise-grade security, long-term stability, and broad compatibility with AI and Python ecosystems.
- Cloud-Optimized: Azure-ready Windows base image engineered for scalability, performance, and efficient resource utilization.
- Ideal For: Data scientists, AI researchers, machine learning engineers, students, educators, and organizations working on reinforcement learning and intelligent systems.
Get Started: Click “Get it now” to launch.
How to Verify Your Installation:
- cmd (Run as Administrator): Open Command Prompt.
- python --version : Verify Python installation.
- pip show gym : Confirm OpenAI Gym package is installed.
- python -c "import gym; print(gym.__version__)" : Verify OpenAI Gym version.
- Run a sample environment (e.g., CartPole) to confirm Gym is functioning correctly.
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 Windows Server platforms to ensure a smooth and reliable deployment experience.
Our mission is simple:
Deliver enterprise-grade cloud solutions that reduce setup time, accelerate innovation, and simplify AI and cloud workflows.
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 OpenAI Gym usage, reinforcement learning setup, Python environment configuration, and Azure VM optimization.
Useful Links
OpenAI Gym / Gymnasium – Official Documentation
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: 80(TCP),3389(RDP)
Allowed Ports: As per user workload requirements
© CloudTrio Solutions. All rights reserved.
Agent build and provenance
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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
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