MindsDB platform helps developers orchestrate AI-to-Data pipelines, connecting AI/ML models with live data.
Overview
The MindsDB platform helps developers orchestrate AI-to-data pipelines, connecting AI/ML models with live data. Using MindsDB automation capabilities, you can build custom AI workflows, bridging hundreds of AI/ML models, enterprise data platforms, applications, and vector stores.
Highlights
- No matter where your data lives, we have you covered. Over 200 data integrations that seamlessly work with your tech stack
- Connect a wide range of AI engines with your enterprise data. This includes models from OpenAI, Anthropic, Anyscale, etc, or you can bring your custom ML models!
- Automate your AI workflows, including models' fine-tuning and applying predictions to your incoming data.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04 LTS (Jammy Jellyfish)
Typical total price
This estimate is based on use of the seller's recommended configuration (t2.small) in the US East (N. Virginia) Region. View pricing details
$0.333/hour
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.
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Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large | $0.00 | $0.093 | $0.093 |
t2.xlarge | $0.00 | $0.186 | $0.186 |
t2.2xlarge | $0.00 | $0.371 | $0.371 |
t3.large | $0.00 | $0.083 | $0.083 |
t3.xlarge | $0.00 | $0.166 | $0.166 |
t3.2xlarge Recommended | $0.00 | $0.333 | $0.333 |
t3a.large | $0.00 | $0.075 | $0.075 |
t3a.xlarge | $0.00 | $0.15 | $0.15 |
t3a.2xlarge | $0.00 | $0.301 | $0.301 |
m3.large | $0.00 | $0.133 | $0.133 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Considered upon request on a case-by-case basis
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
This release includes several important updates and improvements:
- Updates and fixes to existing integrations, including LangChain, Vertex AI, ChromaDB, MindsDB Inference, and more.
- Enhanced test coverage for greater reliability.
- A schema refactor that includes changes to the structure for storing metadata of all objects like models, views, tables, etc.
- Bug fixes to the SQL API, including improvements to the LAST keyword.
All relevant updates have been accompanied by corresponding documentation updates
For more details please see: https://github.com/mindsdb/mindsdb/releases/tag/v24.5.4.0
Additional details
Usage instructions
- Launch our AMI via AWS Marketplace 1-Click
- Ideally, you should launch this into your internal infrastructure in a private VPC, which contains the databases you wish to query from MindsDB. You will need to configure and set this up yourself. If you use private IP space, you will also need a way to have your computer able to connect to this Private IP space, such as a VPN. Our AMI is only a functional instance of the MindsDB library and web GUI, it does not contain any setup for setting up VPNs.
- Create a new security group and whitelist port 443 to connect to our web GUI via HTTPS. Optionally, enable ports 22 (for SSH) and 80 (HTTP) if you wish.
- Optionally, if desired, configure your DNS to this IP address, so you have a nicer name. Eg, mindsdb.companyname.com
- Use a web browser to access the application.
- If using a public IP, then https://EC2-Instance-Public-Or-Private-IP/ or simply click on the "open address" link in the AWS EC2 Console Instance Detailed view to open your browser accordingly. If this does not load, please wait a minute and retry, as your OS may take a minute or two to boot and start working fully.
- If using a DNS name, then https://DNS-Name-For-IP/
- You may initially see a "pre-loading" page. This means our services are loading, this usually takes an additional 2-3 minutes at the most. If this doesn't bring you to the login page within' 5 or 10 minutes, then please restart the instance and see if it fixes it, or try on a different instance type.
- Once the web GUI is displayed, you will have our standard MindsDB web interface, which you would get if you used our cloud offering.
- You will need to log in; the default username is "admin", and the default password is the instance-id you can get on your AWS EC2 Console Instance List or Detailed view, and it is also what shows up in the green notification box at the top after you launch our AMI. The instance ID (and thus your password) should look like "i-01234567890abcdef"
- If you wish to change this password, please do the following...
- First, edit the file /root/config.json and set your username and password there.
- Second, disable the auto-instance-id password setting logic by editing the file "/usr/local/bin/start-mindsdb.sh" and commenting out line #6, which starts with "jq".
- Once you do both steps, restart your MindsDB with "sudo systemctl restart mindsdb" to reload this configuration. Then visit the web-gui and enter your updated login/password information.
If you have any problems, our team is available for support both online and over the phone, and we have a community forum and Slack as well for our users to be able to support each other. Please see: https://mindsdb.com/contact
Resources
Vendor resources
Support
Vendor support
Free support is provided via community Slack (mindsdb.com/joincommunity). Enterprise support available on request (mindsdb.com/enterprise)
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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