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    Practicus AI - Enterprise license (BYOL)

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    AWS Free Tier
    Infinite Possibilities, One AI Platform
    Listing Thumbnail

    Practicus AI - Enterprise license (BYOL)

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    Overview

    Practicus AI offers a unified platform for generative AI and data intelligence, designed to streamline and optimize AI workflows for a variety of environments, including cloud, on-premises, and air-gapped private networks. With a focus on ease of use, the platform simplifies model development and management, enhances GPU utilization for complex tasks, and supports scalable deployments to meet growing demands. The AI Studio provides a no-code/low-code environment for creating and deploying AI models, transforming data into actionable insights with minimal coding effort. Additional features such as powerful Exploratory Data Analysis tools, automated machine learning (AutoML), and instant AI APIs facilitate efficient data analysis and integration into applications.

    Practicus AI is built to maximize cloud-native capabilities, leveraging open-source technologies for innovation and freedom from vendor lock-in. The platform includes robust observability tools to monitor AI/ML performance, manage logs, and detect anomalies in real-time. Its analytics suite, powered by an open-source Iceberg Lake House, enables deep data insights and scalable querying. With secure, enterprise-grade features like single sign-on (SSO), centralized secret management, and secure GitOps, Practicus AI ensures unmatched security and compliance. The platform's flexibility, scalability, and comprehensive feature set make it an ideal choice for organizations looking to harness the full potential of AI and data intelligence.

    Highlights

    • Explore and analyze cloud data lakes, data warehouses, databases and mode. Sample billions of rows up to 100 times faster. Switch between data engines (Pandas, DASK, Spark, GPUs with RAPIDS) as you need.
    • Process, clean and prepare your data without any coding. When clicking is not enough, use 200+ Excel compatible formulas. Add custom Python code using the built-in editor for more complex requirements. Export the final clean data to a file, data lake or database directly from the app. To build repeatable data pipelines, export to pure Python code and run anywhere you need.
    • Build AI models on past data with one-click using Automated Machine Learning (AutoML) and then make predictions on unseen data. If you are a data scientist, or working with one, export to Jupyter code and share your experimentation details in a central database (MLflow). Predict with any model and without the need to deploy using our app, or export simpler models to pure Spreadsheets.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Practicus AI - Enterprise license (BYOL)

     Info
    Pricing and entitlements for this product are managed outside of AWS Marketplace through an external billing relationship between you and the vendor. You activate the product by supplying an existing license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. Subscriptions have no end date and may be cancelled any time. However, the cancellation won't affect the status of an active license if it was purchased outside of AWS Marketplace.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    enabled

    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.

    Usage information

     Info

    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

    Please visit https://practicus.ai/blog  for release notes

    Additional details

    Usage instructions

    Practicus AI Cloud Node is the backend for Practicus AI application and SDK. A Practicus AI AWS cloud node instance can be created and deleted using the cloud tab inside our app with just a click. Once instantiated, you can confirm Practicus AI Cloud Node Linux service has been successfully started and is active by running the below on an SSH client.

    systemctl status practicusnode

    Steps to confirm installation:

    1- Open an SSH client. 2- Locate your private key file that you used to launch the instance. (i.e. my_key.pem) 3- Run this command, if necessary, to ensure your key is not publicly viewable. chmod 400 my_key.pem 4- Connect to your instance using its Public DNS: Such as: ec2-12-34-56-78.compute-1.amazonaws.com Example: ssh -i "my_key.pem" ubuntu@ec2-12-34-56-78.compute-1.amazonaws.com  5- Run the below command to verify Practicus AI Cloud Node service is active and running systemctl status practicusnode

    For more information please visit the "getting started" section in our documentation.

    Resources

    Vendor resources

    Support

    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.

    Customer reviews

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