Sold by: ProvenCloud
Deployed on AWS
Free Trial
AWS Free Tier
This is a repackaged open source software product wherein additional charges apply for a secure, ready-to-use Qdrant 1.19 vector database stack with JupyterLab and MinIO storage. Build semantic search and RAG apps for AI on your own server, with unique passwords for every instance.
Overview
Qdrant is an open source vector database for storing embeddings and finding similar items fast. It powers semantic search, recommendations and retrieval-augmented generation (RAG) for AI assistants. This image gives AI developers and data teams a complete starter stack in minutes: the vector database, object storage for documents, and a notebook environment to build in.
What is included: Qdrant 1.19.1 on Ubuntu 24.04 LTS with its web dashboard, MinIO S3-compatible object storage with its console, JupyterLab with Python client libraries, a starter notebook, and an Nginx landing page on port 80 that links everything together. Qdrant's API stays on the server itself. Security is on by default: no password ships in the image. On first boot every instance sets its own JupyterLab and MinIO passwords, and SSH accepts key-based login only.
What you get on top of the free software: a pre-built and tested image that is ready in minutes, a unique security setup for every server, simple scripts for changing passwords, regular image updates, and help by email whenever you need it. Qdrant is open source software licensed under Apache-2.0, MinIO under AGPL-3.0, and JupyterLab under BSD-3-Clause. Qdrant is a trademark of Qdrant Solutions GmbH, and MinIO is a trademark of MinIO, Inc. This image is an independent build by ProvenCloud.
Highlights
- Ready in minutes: launch the instance and open the landing page for links to the Qdrant dashboard, JupyterLab and the MinIO console. A starter notebook shows the whole stack working.
- Secure by default: no shared or default passwords. Every instance sets its own JupyterLab and MinIO passwords on first boot, and SSH accepts key-based login only.
- Everything for AI search: store embeddings in Qdrant, keep documents in S3-compatible MinIO, and write your RAG or semantic search code in JupyterLab.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
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 |
|---|---|
t3a.large Recommended | $0.03 |
t2.micro | $0.03 |
t3.micro | $0.03 |
c7a.medium | $0.03 |
c8a.medium | $0.03 |
m1.medium | $0.03 |
m1.small | $0.03 |
m3.medium | $0.03 |
m7a.medium | $0.03 |
m8a.medium | $0.03 |
Vendor refund policy
Software charges are billed hourly, only while your instance runs. You can stop charges at any time by terminating the instance or cancelling your subscription. Charges already incurred are not refundable.
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
Latest stable release on AWS Marketplace.
Qdrant 1.19.1 on Ubuntu 24.04 LTS with MinIO, JupyterLab and an Nginx landing page.
Unique JupyterLab and MinIO passwords are set for every instance on first boot.
Includes a starter notebook and helper scripts in /home/ubuntu/iscripts.
Additional details
Usage instructions
Once the instance is running, enter http://<instance-public-ip> into your browser to see the landing page. The Qdrant dashboard is at http://<instance-public-ip>/dashboard/. JupyterLab is at http://<instance-public-ip>:8888; sign in with your instance ID as the password. The MinIO console is at http://<instance-public-ip>:9001; sign in with admin as the username and your instance ID as the password, and the MinIO S3 API is on port 9000. You can also connect over SSH with the username ubuntu and your Amazon key pair.
Required inbound ports: 22 (SSH), 80 (landing page and Qdrant dashboard), 8888 (JupyterLab), 9001 (MinIO console) and 9000 (MinIO S3 API). For security, allow all of these only from your own IP address.
Your instance ID is shown in the EC2 console, for example i-0123456789abcdef0. Every instance sets its own passwords on first boot, so no two instances share a password. Allow two to three minutes after launch for the first-boot setup to finish before you sign in.
Open notebooks/01-quickstart.ipynb in JupyterLab to try the stack. Change your passwords with sudo bash /home/ubuntu/iscripts/pass_jupyter.sh for JupyterLab or pass_minio.sh for MinIO, and run qdrant_status.sh to see versions and health.
The image serves plain HTTP so it works on a bare IP address. Before using it in production, add your own domain and an SSL certificate, or place it behind a load balancer with HTTPS.
Support
Vendor support
Email: support@provencloud.io
Support page: https://www.provencloud.io/support
Hours: Monday to Friday, 10:00 to 19:00 IST (UTC+05:30)
Billing and refunds for this subscription are handled by AWS Marketplace.
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.
Similar products
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Qdrant is an open-source, high-performance vector database for AI and semantic search - used in RAG pipelines, recommendation systems, LangChain, LlamaIndex, and any workload requiring similarity search over embeddings. This Lynxroute build is security baked in: unique API key at first boot, UFW firewall pre-configured, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
Web UI included. fastembed pre-installed for local embedding without external API calls.
Apache-2.0 license - fully auditable, no vendor lock-in.
![Snipe-IT IT Asset Management on Ubuntu 24.04 LTS by ProvenCloud [IN]](https://d7umqicpi7263.cloudfront.net/img/product/c4e22b13-35d6-4a80-a563-26d9ffd87489.com/4c173b409be2aeb8869f955151e879be)
This is a repackaged open source software product wherein additional charges apply for a secure, ready-to-use Snipe-IT 8.7 IT asset management server. Track laptops, software licences, accessories and consumables from one dashboard, with unique passwords for every instance.
This product has charges associated with it for seller support. Qdrant is an open source, high performance vector database and similarity search engine designed for AI, machine learning, and semantic search applications.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.