Overview
This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance. This product launches a complete AI application studio on a single Ubuntu 24.04 instance powered by Dify and Langfuse. Dify gives you a visual workspace in the browser to design and run AI chatbots agents tools and document workflows without having to manage complex infrastructure. Langfuse adds deep observability so you can trace every request measure cost and latency and compare different prompts and models.
Everything runs with Docker on your EC2 instance inside your AWS account so your data and logs remain under your control. After launch you visit the public IP address to create the first Dify admin account then open the Langfuse URL to create your first observability project. From there you can connect your preferred model providers by adding API keys for services such as OpenAI Anthropic AWS Bedrock Azure OpenAI or other supported LLM and embedding providers.
Use this studio to prototype internal assistants knowledge base search tools and custom AI workflows then monitor how they behave in real time. Dify lets you define prompts tools data sources and knowledge bases through a friendly web interface while Langfuse records traces metrics and evaluations so you can debug prompts tune quality and manage cost.
This AMI is ideal for teams that want an easy starting point for private AI app development and observability without using external SaaS platforms. You bring your own EC2 instance VPC and model API keys and this image provides the ready to use AI studio environment on top.
Highlights
- Build AI apps agents and workflows entirely in the browser with Dify using your own model API keys in your AWS account
- Gain deep visibility into every request with Langfuse including traces metrics and evaluations to debug prompts and control cost
- Runs fully self hosted on a single Ubuntu EC2 instance using Docker so your data logs and configurations remain under your control
Details
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Pricing
Dimension | Cost/hour |
|---|---|
t2.xlarge Recommended | $0.02 |
m6i.4xlarge | $0.02 |
m6i.8xlarge | $0.02 |
t3.large | $0.02 |
m6i.2xlarge | $0.02 |
t3.2xlarge | $0.02 |
m6i.xlarge | $0.02 |
m6i.32xlarge | $0.02 |
m6i.24xlarge | $0.02 |
m6i.12xlarge | $0.02 |
Vendor refund policy
No contracts. We do not currently support refunds, but you can cancel at any time.
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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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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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