Overview
FlowGram.AI on CentOS 9 with support by ThinkCloud delivers a fully set up and optimized instance of FlowGram.AI, a powerful open source workflow development framework by ByteDance. FlowGram.AI provides developers with a visual, node-based engine to design, construct, and manage workflows, supporting both fixed layout and free connection layout modes for maximum flexibility.
This AWS Marketplace offering runs on CentOS 9, a secure and stable enterprise-ready Linux distribution, allowing users to quickly launch and start using FlowGram.AI without the complexity of manual installation and configuration. The environment comes with essential dependencies preinstalled, accelerating the time to value for teams building AI platforms, automation tasks, or developer tools that require workflow orchestration.
ThinkCloud offers optional professional support services, including setup assistance, configuration help, and troubleshooting, ensuring users can maintain a reliable and scalable workflow development platform on AWS. This solution is ideal for developers, engineers, and teams looking to build and deploy sophisticated AI workflow applications.
Highlights
- Preinstalled and configured FlowGram.AI workflow development framework on CentOS 9, ready for immediate deployment on AWS.
- Supports visual, node-based workflow authoring with both fixed layout and free connection modes for flexible automation design.
- Optional professional support by ThinkCloud ensures best practices for deployment, configuration, and ongoing maintenance.
Details
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Pricing
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Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.10 |
t2.micro | $0.10 |
t3.micro | $0.10 |
c5n.9xlarge | $0.308 |
r8i-flex.2xlarge | $0.10 |
r6a.8xlarge | $0.148 |
r3.4xlarge | $0.148 |
m4.xlarge | $0.10 |
g3s.xlarge | $0.10 |
r8i.2xlarge | $0.10 |
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no refunds
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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.
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Updated to the latest
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SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html After entering the system, please check the Readme file under the / path, which contains detailed configuration information
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