Sold by: Anaconda
Deployed on AWS
The Anaconda Platform for AWS is a unified, enterprise-grade solution that consolidates Python package management, AI model catalog, and inference services into a single Kubernetes-based platform deployable entirely within your Amazon Virtual Private Cloud.
4.5
Overview
The Anaconda Platform for AWS is a unified, enterprise-grade solution that consolidates Python package management, AI model catalog, and inference services into a single Kubernetes-based platform deployable entirely within your Amazon Virtual Private Cloud. This comprehensive platform enables organizations to build, scale, and secure open source Python and AI workflows while maintaining complete data sovereignty and control within their AWS infrastructure.
Deploy the complete Anaconda Platform in your Amazon VPC to benefit from network isolation, enterprise SSO integration, and comprehensive supply chain security that validates package provenance and applies governance policies at execution. With restricted data egress controls and runtime protection layers, your teams can develop in Python and deploy AI safely without your data ever leaving your security perimeter.
Deploy the complete Anaconda Platform in your Amazon VPC to benefit from network isolation, enterprise SSO integration, and comprehensive supply chain security that validates package provenance and applies governance policies at execution. With restricted data egress controls and runtime protection layers, your teams can develop in Python and deploy AI safely without your data ever leaving your security perimeter.
Note: During the initial setup, the EC2 instance hosting the Anaconda Platform connects to external endpoints to securely retrieve a license. The IAM role created provides least-privilege access, granting only the specific permission to read the one secret created by this stack, ensuring secure bootstrapping without hardcoded credentials.
Highlights
- Deploy within your Amazon VPC for full network isolation and control of Python packages and AI models. Uses Kubernetes for auto-scaling across EC2 GPU/CPU instances and ensuring high availability across multiple Availability Zones.
- Unified Python & AI development platform: Integrated platform combining enterprise Python package management (Anaconda Core) with AI model catalog and inference services (AI Catalyst).
- Enterprise security & governance at scale: Leverage SSO while adding comprehensive packages supply chain security and governance policies to ensure compliance-ready deployments for regulated industries.
Details
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Delivery method
Delivery option
Deployment 1
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Platform & Core | Unified Python & AI Development platform. Price per user (25 users min purchase). Silver Premium Support Required. Please contact sales@anaconda.com for details. | $840.00 |
AI Catalyst add-on | AI model catalog and inference services. Silver Premium Support Required. Please contact sales@anaconda.com for details. | $150,000.00 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
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
First Release
Additional details
Usage instructions
Step 1: Subscribe and Obtain the Template
1.Subscribe to the Product on the AWS Marketplace listing. 2. After subscribing, you will be given the option to download the CloudFormation Template (CFT). 3.Alternatively, you may be provided with a direct URL for the CFT.
Step 2: Initiate CloudFormation Stack Creation
- Go to the AWS Management Console and navigate to the CloudFormation service.
- Click Create stack with new resources.
Step 3: Select and Upload the Template
- Under Specify template, choose Upload a template file or Amazon S3 URL.
- If you downloaded the file: Select Upload a template file and upload the CFT you obtained in Step 1.
- If you have the URL: Select Amazon S3 URL and feed it the URL for the CloudFormation template.
Step 4: Configure Stack Details
- Specify stack details: -Enter a descriptive Stack name. -Enter parameters required for the deployment.
Step 5: Review and Submit
- Proceed to the final review screen.
- Acknowledge that the process may create IAM resources.
- Click Submit to start the stack creation.
Step 6: Monitor Provisioning
- The stack will begin provisioning, which involves:
- Building all necessary AWS resources.
- Spinning up the Amazon Machine Image (AMI). -Running the installer on the AMI.
- Deployment typically takes about 10 minutes
Step 7: Retrieve Access Credentials
Once the stack is complete, you must retrieve two critical pieces of information:
- Public IP Address:
- Click the initial node link within the CloudFormation outputs, which directs you to the EC2 service.
- Check the instance details to find the Public IPv4 address.
- Admin Console Password:
- Navigate to the Secrets Manager service in the AWS console.
- Retrieve the admin console password for the platform.
Step 8: Access the Platform
- After deployment is complete, use the IP retrieved earlier and configured port to navigate to Anaconda AI Platform Admin Console
- Follow the step-by step instructions to finish the setup
Resources
Vendor resources
Support
Vendor support
Anaconda technical support hours are 6 AM to 6 PM CST Monday - Friday.
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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With 45 million users, Anaconda is the world's most trusted open-source package provider and the foundation of modern AI development. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make possible the advancements of tomorrow. With 93% of Fortune 500 as customers, Anaconda's enterprise-grade solutions enable corporate, research, and academic organizations around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world.
Supercharge your data science journey with Anaconda Data Science solutions with iTmethods’ comprehensive services and managed platforms. We provide tailored end-to-end solutions for your Python package management environment to help streamline your enterprises’ data-driven AI initiatives.
This product has charges associated with it for product support and updates. Connect to a full-featured Ubuntu 22.04 LTS Desktop environment through your browser or natively using a Remote Desktop client. Securely access Jupyter, RStudio Server or a Terminal session directly from your browser. Ships with the latest versions of Google Chrome, Jupyter, RStudio Server, VS Code.
Anaconda AI Catalyst is an enterprise-grade AI development suite that provides teams secure access to curated, optimized open source AI models.
Customer reviews
Firdavs S.
Great for Learning, Needs a Friendlier Interface
Reviewed on Jan 24, 2026
Review provided by G2
What do you like best about the product?
I find the Anaconda AI Platform very easy to use for data science workflows, which is great for both learning and experimenting. Its enterprise pricing plans are quite affordable and ideal for my needs. I appreciate that it has integrated tooling, notebooks, package managers, interpreters, and all the main libraries already in place, making it very useful for building workflows and practicing skills. It's also accessible for beginners and students who are learning data science and AI.
What do you dislike about the product?
Yes. The interface could be made more user friendly because right now it's a bit hard to get used to at first. And, also, it's very heavy and resource intensive, I would say. And the free tier is limited as well. So that could be improved. Those problems could be solved.
What problems is the product solving and how is that benefiting you?
I use Anaconda AI Platform to learn Python and improve my coding skills. It solves the problem of experimentation and helps me build small systems for my data science lessons. It's easy to use for learning data science workflows.
pravallika .
A Time-Saving Platform for Data Science and AI
Reviewed on Jan 24, 2026
Review provided by G2
What do you like best about the product?
Anaconda has been very useful in resolving some of the current issues that were accruing in the environment setup, dependency management, and other tool-related issues. Previously, setting up the environment has been tedious; however, with Anaconda, this has been made very easy, allowing me to concentrate on data analysis rather than constantly fighting with setup issues.
What do you dislike about the product?
There is something that I dislike about Anaconda, however. One feature that I dislike is that sometimes the site can be a bit heavy, especially at times of startup or updating. Conflicts in packages still occur, albeit rarely. At times, resolving these could take extra time. The variety of features could be overwhelming to new users.
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform helps with various challenges like dependency conflicts, environmental issues, or dealing with several Python libraries. Prior to the usage of Anaconda AI Platform, a great deal of effort went into resolving environmental issues or having to re-install various packages. At the moment, the experience is much neater and conducive, which is helpful because it saves me time and helps me focus on data analyses.
Gareth J.
Effortlessly Boosted My Workflow
Reviewed on Jan 11, 2026
Review provided by G2
What do you like best about the product?
I like how the Anaconda AI Platform helps me get my work done faster and easier. It's all-round really good, and I find it very easy to set up.
What do you dislike about the product?
I haven't found anything I dislike
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform improves my workflow, helps me figure out steps when I'm stuck, and makes work faster and easier.
Ashaolu t.
Seamless Interface, Perfect for Beginners
Reviewed on Jan 02, 2026
Review provided by G2
What do you like best about the product?
I love that Anaconda AI Platform makes the user interface seamless and legible, especially for new users like me. It's a great platform for following what I'm being taught in data analysis courses on LinkedIn Learning. I find the visual clarity it provides invaluable as a beginner, helping me follow through and learn each step. The setup is amazing with a step-by-step guide and lots of materials available on the platform to help with any issues. I also appreciate the seamless user journey without any problems.
What do you dislike about the product?
I don't know if I'm saying the right thing, but there could be the option for different language functionality. For someone like me who speaks other languages, and other people in places like Africa, I believe that with other indigenous languages available, it would help people who don't understand English because obviously the default language is English.
What problems is the product solving and how is that benefiting you?
I find Anaconda AI Platform simple and seamless, with a user-friendly interface that provides visual clarity. It's been the best for learning data analysis, allowing me to follow lessons easily and learn each step as a beginner.
Judah A.
Empowering Open Source Tool for ML Beginners
Reviewed on Dec 30, 2025
Review provided by G2
What do you like best about the product?
I use the Anaconda AI Platform for learning and building myself since it's open source, which I really love. It's an easy-to-use and understand platform. It bridges the gap for me and makes my journey into being an ML engineer easier and secure. The initial setup was quite easy for me as I have first-hand knowledge. I've already recommended it to a colleague who wanted to start with Python coding and helped with the installation.
What do you dislike about the product?
The full installation of Anaconda AI Platform is very large, which could be an issue for those with limited space. Additionally, the resources demand during operation can be problematic.
What problems is the product solving and how is that benefiting you?
I use Anaconda AI Platform to bridge the gap in my journey to becoming an ML engineer, making it easier and secure.