Overview
Dify Premium is a ready-to-use, cloud-native edition of Dify, built exclusively for AWS environments to help organizations accelerate innovation. Through an intuitive interface, Dify seamlessly integrates AI workflow orchestration, RAG pipelines, agent capabilities, model management, observability and more, enabling teams to efficiently design, launch, and manage AI-powered applications.
With Dify Premium, you can deploy the platform on your chosen AWS EC2 instance after purchase via AWS Marketplace, giving you full control over your deployment while leveraging scalable AWS cloud resources. Compared to Dify Community, Dify Premium includes priority email support and branding customization, making it an ideal choice for mid-sized teams seeking greater flexibility and a more polished, professional experience.
For organizations that require advanced customization, enterprise grade security, multi-tenant management, or deployment within private infrastructure, Dify Enterprise is available as an upgrade.
Highlights
- Model Management & Flexibility: Access 1,000+ models, including AWS Bedrock and SageMaker, with centralized management and side-by-side performance comparison. Empower teams to flexibly select and integrate the best models into AI applications, all within Dify intuitive no-code/low-code environment.
- Agentic Workflows & RAG: Design advanced agentic workflows with multi-step logic, context-aware agents, and cross-modal integration (LLM, TTS, STT). Leverage robust built-in RAG pipelines for seamless data extraction, transformation, and indexing across diverse sources and knowledge bases.
- Distribution, Branding & LLMOps: Publish AI applications as WebApps, embed into websites, or integrate via API. Apply custom branding for a professional user experience. Monitor performance, analyze metrics, and use LLMOps tools for ongoing experimentation, evaluation, and optimization.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
c5.xlarge Recommended | $0.30 |
m7i.xlarge | $0.30 |
m6i.xlarge | $0.30 |
m7a.xlarge | $0.30 |
m6a.xlarge | $0.30 |
c5.2xlarge | $0.30 |
x1e.xlarge | $0.30 |
m7a.4xlarge | $0.30 |
m5a.2xlarge | $0.30 |
r5.xlarge | $0.30 |
Vendor refund policy
No refund is available.
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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.
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
Priority email support included with subscription. For technical assistance, please contact: support@dify.ai . To ensure we can assist you efficiently, please mention that you are a Dify Premium subscriber and include your AWS Account ID in your email.
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.