Sold by: LangGeniusÂ
Deployed on AWS
A cloud-native AI application development platform, empowering mid-sized teams to rapidly design, deploy, and manage scalable AI applications on AWS.
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c5.2xlarge Recommended | $0.30 |
m7i.xlarge | $0.30 |
m6i.xlarge | $0.30 |
c5.xlarge | $0.30 |
m7a.xlarge | $0.30 |
m6a.xlarge | $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.
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)Â .
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
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.
Updated weekly
By LangGenius
By Dataloop AI/GenAI development platform
By NeuralSeek
Top
10
In AIOps, Generative AI
Top
50
In Data Preparation
Top
10
In Edit/Processing-Text, Natural Language Processing, Generative AI
AI generated from product descriptions
Model Integration
Supports access to over 1,000 AI models, including integration with AWS Bedrock and SageMaker, with centralized management and performance comparison capabilities
Workflow Orchestration
Enables design of advanced agentic workflows with multi-step logic, context-aware agents, and cross-modal integration across language models, text-to-speech, and speech-to-text systems
Retrieval Augmented Generation
Provides robust built-in RAG pipelines for comprehensive data extraction, transformation, and indexing across diverse knowledge sources and databases
Application Distribution
Supports publishing AI applications as web applications, website embeddings, and API integrations with customizable branding options
Performance Monitoring
Offers LLMOps tools for continuous performance analysis, metrics tracking, experimentation, and optimization of AI application workflows
Data Management
Advanced platform for exploring and analyzing unstructured data from diverse sources with automated preprocessing and embeddings
AI Pipeline Orchestration
Drag-and-drop and code-based interface for creating complex AI workflows with data, models, apps, and human feedback integration
Model Management
Capability to use pre-existing AI models, build custom models, deploy to production, and perform versioning, experimentation, and fine-tuning
Enterprise Security Framework
Comprehensive security controls including RBAC, SSO, 2FA, AES-256 encryption, compliance with GDPR, ISO 27001, ISO 27701, and SOC 2 Type II standards
AI Application Development
Function-as-a-service offering enabling custom code development for complex tasks with direct data and model access without infrastructure setup
Multi-Agent LLM Orchestration
Enables building and managing multiple generative AI agents with capability to assign, switch, and string together different large language models from a single platform
Retrieval Augmented Generation (RAG)
Provides customized prompt generation space for creating dynamic generative AI prompts against proprietary data without requiring coding
Performance Governance
Offers enterprise-level observability and control mechanisms to mitigate risks of LLM hallucination, misinformation, and sensitive data exposure
Semantic Analytics
Generates provenance tracking, coverage assessment, and confidence scoring for AI-generated outputs
Dynamic LLM Management
Supports real-time monitoring of token usage and enables comparative analysis and optimization of different large language models
Standard contract
No
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