This product has charges associated with it for seller support. A complete Dify AI stack for GenAI app development- featuring prompt engineering, agent framework, RAG, and seamless API integration. Just power on and start building.
This is a repackaged open source software product wherein additional charges apply for support by TechLatest.net.
Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide
Introducing the Dify AI Virtual Machine - your all-in-one solution for effortlessly developing and deploying advanced AI applications. Pre-configured and ready to use, this cloud-based environment is powered by the cutting-edge Dify platform, offering a seamless experience for developers and businesses. Whether you are looking to build AI-powered chatbots, automate processes, or integrate Large Language Models into your applications, this VM simplifies the entire workflow, helping you focus on innovation rather than setup.
Key Features:
Orchestration Studio: A visual, drag-and-drop interface that allows users to design, build, and deploy AI applications with minimal coding.
Retrieval-Augmented Generation (RAG) Engine: Enhances AI responses by integrating external knowledge bases, improving the relevance and accuracy of generated content.
LLM Agent Framework: Enables the creation of custom AI agents capable of independently utilizing various tools to handle complex tasks.
Prompt IDE: Facilitates the design, testing, and refinement of advanced prompts, empowering users to optimize AI interactions.
Enterprise LLMOps: Provides tools for monitoring and refining model reasoning, recording logs, and annotating data to ensure optimal performance.
Backend-as-a-Service (BaaS): Offers comprehensive backend APIs for easy integration of AI capabilities into existing applications.
Use Cases:
AI Chatbots and Assistants: Develop intelligent chatbots that can engage in natural conversations, provide customer support, and automate tasks.
Document Generation and Summarization: Create AI-powered tools for generating clear, logical documents from knowledge bases and summarizing long documents with ease.
Enterprise Integration: Integrate LLMs into enterprise systems to create smarter workflows and scalable, personalized customer experiences.
Process Automation: Automate repetitive tasks such as data entry, scheduling, and report generation, increasing efficiency and productivity.
Personalized Customer Experiences: Empower businesses to create personalized customer experiences by tailoring AI-powered interactions based on individual preferences and behaviors.
Why Choose Techlatest Dify AI Solution?
Ready-to-Use: Pre-configured environment eliminates setup time, allowing you to focus on development.
Scalable: Easily adapt to growing project requirements with flexible resource allocation.
Cost-Effective: Access advanced AI capabilities without the need for extensive infrastructure investments.
Comprehensive Documentation: Detailed guides and resources to assist you at every step.
Whether you are building a chatbot, automating workflows, or integrating AI into your enterprise systems, the Dify AI Virtual Machine provides a robust, scalable, and user-friendly platform to bring your AI applications to life.
Disclaimer: Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.
Highlights
Build, deploy, and innovate GenAI apps faster with the power of Dify
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.
You pay by the hour for the specific AWS EC2 instance type you run. Each dimension listed is a different EC2 instance size, so pricing scales with the compute power you choose. Smaller instances cost less per hour and larger ones cost more, reflecting added vCPUs, memory, and specialized hardware like GPU or high-memory configurations. The software itself deploys as a pre-configured virtual machine, and your bill tracks total running hours. You can change instance types to match your workload; the minimum specification is 2 vCPUs and 8 GB memory, defaulting to a t2.large instance.
Top-of-mind questions for buyers
What does one billed hour cover, and what am I actually paying for on each instance?
You pay for one hour of running a pre-configured virtual machine on the EC2 instance type you select. Each instance type maps to a set amount of vCPUs, memory, and any specialized hardware. The software ships ready to use, so the hourly rate covers the running VM, not per-user or per-app charges.
Am I charged the hourly software rate when the instance is stopped or paused?
The hourly software charge meters running time only. A stopped instance does not accrue the software fee. You may still pay underlying AWS charges, such as storage for the attached disk, while the instance is off. Restarting the instance resumes the hourly software charge.
Are external model providers or their API usage included in the hourly price?
No. The hourly rate covers the running VM only. To use large language models, you configure a model provider in settings and supply your own API key. Those provider charges are billed separately by the provider, not through this listing. The VM supplies the development platform and interface.
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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.
Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH- >Auth->Credentials , click on Open.
Login as ubuntu user.
Update the password of ubuntu user using below command :
sudo passwd ubuntu
Once ubuntu user password is set, access the GUI environment using RDP on Windows machine or Remmina on Linux machine.
Copy the Public IP of the VM and paste it in the RDP. Login with ubuntu user and its password.
To access the DifyAI web interface , open your browser and copy paste the public IP of the VM as https://public_ip_of_vm
Create your first admin account on the registration page.
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.
This product has charges associated with it for seller support. This Dify on Ubuntu 22.04 with support by Arara Solutions image comes with the following softwares: Dify.
This product has charges associated with it for the provision and deployment of the application and AMI support. Self hosted Dify and Langfuse AI app studio on Ubuntu that lets you build AI workflows and agents in the browser and observe every request in your own AWS account using your own LLM provider keys.
An enterprise-grade AI application development platform with more advanced capabilities than Dify Premium, built for organizations demanding top-tier security, compliance, and scalability.
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