Overview
Altair AI Hub extends the Altair AI platform with enterprise-wide collaboration, decision automation, deployment, and control. It connects people, processes, and systems to ensure AI delivers business impact.
Empower people of all skills to collaborate and create AI solutions. Share, reuse and deploy models and processes in a project-based, version-controlled, central environment that improves collaboration and governance. Automate important tasks like retraining models, preparing, cleaning and continuously scoring data. Radically speed up predictive model creation and run 100's of models in parallel. Easily integrate analytic results into business processes and applications with a rich set of interactive dashboards, connectors, BI integration and web-service APIs.
Highlights
- Altair AI Hub's projects, dashboards and multi-user access let contributors throughout your organization collaborate on predictive analytic process development and deployment.
- The embedded Notebooks provide the perfect way for python code to be used across a project.
- Altair AI Hub allows you to run computationally intensive tasks on enterprise hardware freeing up your workstation or laptop computers, for improved productivity and faster time to value.
Details
Pricing
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No refunds
Legal
Vendor terms and conditions
Content disclaimer
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
Additional details
Usage instructions
Start a new VM based on the image (Open the EC2 console, go to the AMIs section and find the latest Altair AI Hub AMI. Provide at least 32 Gb RAM for it. In the instance details section, enable 'Auto-assign Public IP'. Use a security group that allows at least TCP connections through ports 80, 443 (home page), 5080 (deployment administration) and 22 (SSH). Wait until the instance starts and 10 additional minutes for all the RapidMiner Services to start.
To access these services in this VM you need to:
- Connect to the url http://[public IP or name of the instance]. The password is the id of the VM.
- To install your license, you need to:
- Access the Deployment Administration at http://[public IP or name of the instance]:5080. The password is the id of the VM.
- Go the the "Deployment" menu item.
- Edit the .env to add your license (Altair Units or legacy RapidMiner) as described here: https://docs.rapidminer.com/10.1/hub/manage/licensing/index.html
Resources
Vendor resources
Support
Vendor support
Enterprise according to license
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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