Sold by: EASYCLOUD
Deployed on AWS
Free Trial
This product has charges associated with it for technical support with a 24-hour response time. This AMI contains Langflow on Ubuntu 22.04 LTS repackaged by Easycloud, fully configured for production environments. The system is built on a minimal installation of Ubuntu 22.04, updated to the latest version, and includes continuous updates and support to ensure a secure and lightweight foundation.
Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. Langflow, built on a minimal Ubuntu 22.04 LTS installation, is included in this AMI, repackaged by Easycloud. It provides a fully configured, HTTPS-secured Langflow environment, deliberately engineered to accelerate LLM application development without deep coding expertise.
Core Features & Integrations
- Ubuntu 22.04 LTS Minimal: A renowned Linux distribution celebrated for its exceptional stability, vast software repository, and strict adherence to open-source principles. As the world's most widely deployed cloud Linux OS and the direct downstream of Debian, it provides unparalleled ecosystem compatibility while delivering a clean, bloat-free, and secure enterprise-grade core.
Key Benefits
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Enhanced Security (HTTPS): Unlike the default installation, this image is pre-configured with Nginx and SSL to ensure all traffic is encrypted.
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Timely Updates: We provide immediate updates and security patches to minimize vulnerabilities and ensure the system remains secure and up-to-date.
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Visual Workflow: A drag-and-drop environment to manage prompts and chain together various LLMs and tools easily.
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Production Ready: Based on a minimal, hardened installation of Ubuntu 22.04, updated to the latest version with dependencies pre-installed (Torch CPU, EasyOCR).
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The Optimal AI Workflow and LLM Orchestration Foundation: By starting with a bloat-free Ubuntu 22.04 LTS base, every resource is dedicated entirely to the Langflow engine and its integration stack. This makes it the perfect, conflict-free foundation for visual LLM application development - serving teams building production RAG pipelines, AI agents, and multi-model workflows powered by leading frameworks (PyTorch, TensorFlow, CUDA, Hugging Face). It integrates natively with the full open-source AI ecosystem including vector databases (Milvus, Chroma), model serving frontends (Ollama, Open WebUI), and complementary LLM platforms (Flowise, Dify, RAGFlow, LibreChat), while running seamlessly alongside Python data science stacks, workflow automation tools (n8n), ML lifecycle platforms (MLflow), and production-grade backends (FastAPI, PostgreSQL, Redis, Docker, Kubernetes), ensuring your AI infrastructure scales without limits.
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Production Ready & Expert Support: Secured with the latest OS patches. It delivers a highly stable environment, fully supported by comprehensive documentation and fast technical assistance (guaranteed 24-hour response time) to ensure your infrastructure runs smoothly without costly downtime.
Highlights
- Langflow: Best-practice deployment.
- Ubuntu 22.04 LTS (Minimal Installation), updated to the latest version.
- Expert Support: Backed by comprehensive documentation and fast, professional technical assistance.
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
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.01 |
t3.micro | $0.01 |
r8a.2xlarge | $0.19 |
d3.xlarge | $0.04 |
x8aedz.3xlarge | $0.19 |
c6a.32xlarge | $0.29 |
r8i.metal-96xl | $0.29 |
c7i.8xlarge | $0.29 |
i7ie.metal-48xl | $0.29 |
m6in.32xlarge | $0.29 |
Dimensions summary
You pay by the hour for the EC2 instance you run this software on. Each dimension maps to a specific EC2 instance type, so your rate depends only on the instance size and family you choose. General-purpose, compute-optimized, memory-optimized, storage-optimized, and GPU or accelerator instances are all available. Rates scale with instance capacity, meaning larger sizes within a family cost more per hour. The software itself is the same Langflow build across every instance; you select the instance that fits your workload and budget. Billing is usage-based with no term commitment.
Top-of-mind questions for buyers
Each rate covers one running EC2 instance of the named type, billed per hour. The rate bundles the Langflow software with that specific instance size and family. You pay for the hours the instance runs, so an instance with more vCPU and memory carries a higher hourly rate.
The software fee meters running hours only. A fully stopped instance does not accrue the hourly software charge. Stopped instances may still incur separate AWS storage fees for attached volumes, but those are AWS infrastructure costs, not the Langflow software charge shown in the pricing table.
Every instance runs the same prebuilt image: Langflow 1.6.9 on Ubuntu 22.04, with CPU Torch, EasyOCR, HTTPS through a reverse proxy, password login, and auto-start. Only the instance type changes your rate. The software build stays identical across all instance choices.
www.easyclouds.io
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Vendor refund policy
No refunds. 5-day free trial available. Cancel anytime.
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) .
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
Update to the latest version
Additional details
Usage instructions
System Requirements: Recommended to run on instances with 2 Cores and 8GB RAM or higher. Running on lower specifications may cause abnormal crashes.
Connection Methods:
Access the instance via SSH using the 'ubuntu' user. Use 'sudo' to run commands requiring root privileges. To switch to the root user, use 'sudo su - root'.
Install Information:
OS: Ubuntu 22.04 LTS
Langflow version: 1.6.9
Langflow Install Directory: /usr/local/langflow
Langflow Service Management:
To start langflow Service: sudo systemctl start langflow
To stop langflow Service: sudo systemctl stop langflow
To status langflow Service: sudo systemctl status langflow
Accessing Langflow:
Visit 'https://YOUR_IP' to start using langflow. Note: The service may take a few minutes to start on the first boot. If the page fails to load or shows a 502 Bad Gateway error, please wait patiently.
Web username and password:
View via the command: 'sudo cat /usr/local/langflow/readme'
How to change administrator password:
After logging into the web interface: Click Profile Icon (Top Right) ---> Select Admin Page ---> Click the Pencil Icon (Edit) on the far right of the administrator row ---> Enter New Password and click Save
Firewall Configuration:
Please allow SSH port 22 and Langflow port 443. For security, it is recommended to limit access to trusted IPs only.
Documentation:
For a detailed installation and management guide, please visit: https://www.easyclouds.io/docs/langflow-guide
Resources
Vendor resources
Support
Vendor support
Should you encounter any issues while using the system, please do not hesitate to contact us via email at: support@easyclouds.io ,Thank you!
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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