Overview
Over 300,000 LLM applications have been built with Dify. Dify combines the core GenAI tech stack into a unified framework that is highly intuitive to use and powerful at the same time, including a RAG pipeline, a prompt editing interface, agent capabilities, and integrated tools.
Dify Premium is a special version of Dify. It's useful in a couple of scenarios: You're looking to create one or a few applications as a small/medium business and you care about data residency. You are interested in Dify Cloud, but your use case require more resource than supported by the plans. You'd like to run a POC before adopting Dify Enterprise within your organization. Besides a visual orchestration interface, Dify is developer-friendly via its extensive APIs and can also be used as a backend for serving LLM apps, enabling seamless integration with your existing data and setup. You will be hosting Dify Premium on the EC2 you choose. After the deployment, you will be able to access the product. For more product information, please visit https://docs.dify.ai/getting-started/dify-premium-on-aws .
Highlights
- Model Agnostic: Dify can be used with virtually all mainstream commercial and open-source models / model providers, and supports Bedrock / OpenAI-API compatible models out-of-box. Performance of different models can be compared side-by-side.
- Workflow Orchestration: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
- RAG Engine: A versatile set of built-in RAG features that handles data ELT from start to finish. Documents in virtually all common formats, such as PDF, HTML, XLS, DOC, CSV, PPT, and Markdown, are natively supported.
Details
Typical total price
$0.47/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t3.large | $0.30 | $0.083 | $0.383 |
m5a.2xlarge | $0.30 | $0.344 | $0.644 |
m5n.xlarge | $0.30 | $0.238 | $0.538 |
m6i.xlarge | $0.30 | $0.192 | $0.492 |
m6id.xlarge | $0.30 | $0.237 | $0.537 |
c5.xlarge Recommended | $0.30 | $0.17 | $0.47 |
c5.2xlarge | $0.30 | $0.34 | $0.64 |
x1e.xlarge | $0.30 | $0.834 | $1.134 |
r5.xlarge | $0.30 | $0.252 | $0.552 |
r5ad.xlarge | $0.30 | $0.262 | $0.562 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No refund is available.
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
[First-time Setup]: If this is your first time accessing Dify, enter the Admin initialization password (set to your EC2's instance ID) to start the set up process.
[Accessing Dify Premium]: After the AMI is deployed, access Dify via the instance's public IP found in th EC2 console (HTTP port 80 is used by default)
[Upgrading Dify Premium]: In the EC2 instance, run the following commands:
1.git clone https://github.com/langgenius/dify.git /tmp/dify
2.mv -f /tmp/dify/docker/* /dify/
3. rm -rf /tmp/dify
4. docker-compose down
5. docker-compose pull
6. docker-compose -f docker-compose.yaml -f docker-compose.override.yaml up -d
[Customizing Dify Premium]: Refer to the help documentation: https://docs.dify.ai/getting-started/install-self-hosted/docker-compose#customize-dify .
Resources
Vendor resources
Support
Vendor support
Premium email support is provided. Please contact support@dify.ai and indicate your identity as a Dify Premium user, so that our engineer could provide you better 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.
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