Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support and maintenance. Optuna is an open-source hyperparameter optimization framework for machine learning that automatically searches for the best model parameters.
Overview
Optuna on Ubuntu 26.04 with Free Maintenance Support by kCloudHubs
kCloud maintains Optuna on Ubuntu 26.04 for automated hyperparameter optimization in machine learning workflows, enabling efficient model tuning, faster experimentation, and production-grade ML performance optimization.
Tech Use Cases
- Automated hyperparameter tuning for machine learning models
- Optimizing deep learning and classical ML pipelines
- Accelerating model experimentation and selection
- AI/ML performance improvement in production systems
Available Now on AWS Marketplace
Optuna on Ubuntu 26.04 with Maintenance Support (kCloud) is an optimization framework for machine learning, repackaged by kCloud with operational support included for scalable AI/ML environments and distributed training workflows.
Key Features
- State-of-the-art hyperparameter optimization framework
- Supports Bayesian optimization and advanced search strategies
- Built-in pruning for early stopping of poor trials
- Seamless integration with PyTorch, TensorFlow, XGBoost, LightGBM, and Scikit-learn
- Scalable and parallel optimization support
- Production-ready ML experimentation platform
AWS Marketplace Setup
- Ready-to-use EC2 environment
- Preconfigured Python ML optimization stack
- Billing handled through AWS
Help Options
Optional kCloud assistance available for setup, tuning, and ML integration support.
Highlights
- Automated hyperparameter optimization finds best model parameters without manual tuning
- Smart search algorithms uses Bayesian optimization and other efficient strategies
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.06 |
t2.micro | $0.01 |
t3.micro | $0.06 |
m5.large | $0.06 |
t2.small | $0.06 |
r5.large | $0.06 |
m3.large | $0.06 |
t2.xlarge | $0.06 |
m3.medium | $0.06 |
c3.large | $0.06 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of May/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #cd ~/optuna-project #source venv/bin/activate #python -c "import optuna; print(optuna.version)"
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: meha@kcloudhubs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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