Sold by: ThinkCloud
Deployed on AWS
AWS Free Tier
High-performance vector database for AI applications. Pre-configured Qdrant on Amazon Linux 2023 with optimized settings for similarity
search and embeddings storage.
Overview
Qdrant on Amazon Linux 2023 provides a production-ready vector database solution optimized for AI and machine learning workloads. This AMI delivers a fully configured Qdrant instance running on the latest Amazon Linux 2023, enabling you to deploy vector search capabilities in minutes.
Key Features:
- Pre-installed Qdrant vector database with production-grade configuration
- Optimized for Amazon Linux 2023 with enhanced security and performance
- Support for billion-scale vector collections with HNSW indexing
- RESTful and gRPC APIs for seamless integration
- Built-in filtering, payload indexing, and full-text search
- Horizontal scalability with distributed deployment support
- Compatible with popular AI frameworks (OpenAI, LangChain, LlamaIndex)
Ideal Use Cases:
- Semantic search and recommendation systems
- RAG (Retrieval-Augmented Generation) applications
- Image and video similarity search
- Anomaly detection and fraud prevention
- Chatbots and conversational AI
- Content deduplication and clustering
What's Included:
- Qdrant latest stable version
- Systemd service configuration for auto-start
- Security hardening and firewall rules
- Monitoring and logging setup
- Comprehensive documentation and quick-start guide
Getting Started: Launch the instance, access Qdrant via port 6333, and start building your vector search applications immediately. No complex setup required.
Support: Technical support available through AWS Marketplace. Regular updates and security patches included.
Highlights
- Deploy in Minutes - Fully configured Qdrant vector database ready for production use. No installation or configuration needed.
- AI-Native Performance - Optimized for embeddings storage and similarity search with support for billions of vectors and sub-millisecond query latency.
- Enterprise-Ready - Built on Amazon Linux 2023 with security hardening, automatic backups, and seamless AWS service integration.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Features and programs
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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.
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.medium Recommended | $0.05 |
t2.micro | $0.05 |
t3.micro | $0.05 |
c5ad.24xlarge | $0.05 |
c8a.metal-24xl | $0.05 |
c8i.12xlarge | $0.05 |
i3en.xlarge | $0.05 |
c7i.4xlarge | $0.05 |
c6in.16xlarge | $0.05 |
m6a.16xlarge | $0.05 |
Dimensions summary
You pay by the hour for the EC2 instance you run Qdrant on, with ThinkCloud support included. Pricing scales with the instance you pick, not with fixed plan tiers. Each option maps to an AWS instance type across several families: general-purpose (m, t), compute-optimized (c), memory-optimized (r, x, z), storage-optimized (i, d), and accelerated computing with GPUs or specialized chips (g, p, inf, trn, f, vt). Larger sizes within a family carry higher hourly rates. You choose the size that fits your workload and pay only for hours used.
Top-of-mind questions for buyers
The hourly rate pays for the Qdrant vector database software plus ThinkCloud support, running on the AWS EC2 instance type you select. Qdrant is a vector search engine used for similarity search and AI applications. The rate varies by instance type, since each maps to different compute, memory, and storage capacity.
The hourly software charge meters running time only. When you stop the instance, the software charge stops accruing. You are not billed the hourly software rate for powered-off instances. Note that underlying AWS storage or other AWS fees may still apply separately from this software charge.
You pay two separate line items. The hourly rate shown here is the software and support charge for the instance type you run. AWS bills its own EC2 infrastructure charge separately. Both accrue per hour the instance runs and appear together. Larger instance sizes raise both the software charge and the AWS charge.
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No Refund
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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
v2026.03
Additional details
Usage instructions
1.Connection Method Connect via SSH as user 'ec2-user' to the running instance. Use sudo to run commands requiring root access, or switch to root using: sudo su - root
2.About More Information Qdrant See /root/ReadMe.txt
Support
Vendor support
If you encounter problems in the process of using the system, please feel free to contact us by email: support@thinkclouds.ai . 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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