Sold by: ThinkCloud
Deployed on AWS
AWS Free Tier
Pre-configured Milvus vector database on Amazon Linux 2023. Deploy AI-powered similarity search and vector embeddings in minutes with optimized performance and security.
Overview
Milvus on Amazon Linux 2023 provides a production-ready vector database solution for AI and machine learning applications. This AMI comes pre-configured with Milvus, enabling you to deploy high-performance similarity search capabilities instantly.
Key Features: Pre-installed and optimized Milvus vector database Built on Amazon Linux 2023 for enhanced security and performance Support for billion-scale vector search with millisecond latency Compatible with popular AI frameworks and embedding models GPU acceleration support for faster indexing and queries Built-in monitoring and logging capabilities
Ideal Use Cases: Semantic search and recommendation systems Image and video similarity search Natural language processing (NLP) applications Anomaly detection and fraud prevention Drug discovery and molecular similarity search
This AMI is optimized for AWS infrastructure, providing seamless integration with EC2, S3, and other AWS services. Get started with vector search in minutes without complex installation and configuration.
Support: Community support available through Milvus documentation and forums.
Highlights
- Production-Ready Vector Database - Deploy Milvus instantly with pre-configured settings optimized for AWS infrastructure, eliminating hours of setup time.
- Billion-Scale AI Search - Handle massive vector datasets with millisecond query latency, supporting similarity search for embeddings from OpenAI, Cohere, and other AI models.
- Amazon Linux 2023 Foundation - Built on AWS's latest OS with enhanced security, performance optimizations, and long-term support for enterprise workloads.
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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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 |
t3.micro | $0.05 |
t2.micro | $0.05 |
m8a.8xlarge | $0.05 |
inf1.24xlarge | $0.05 |
d3en.6xlarge | $0.05 |
c8id.24xlarge | $0.05 |
m6in.xlarge | $0.05 |
d2.xlarge | $0.05 |
c6id.xlarge | $0.05 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
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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
Milvus 2.4.0 on Amazon Linux 2023
Additional details
Usage instructions
SSH to the instance and login as 'ec2-user' using the key specified at launch. Additional information may be found at : https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html After entering the system, please check the Readme file under the /root path, which contains detailed configuration information
Support
Vendor support
If you encounter problems in the process of using the system, please contact 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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