Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. TurboPuffer is a lightweight Python client designed for interacting with high-performance vector databases. It enables developers to store, search, and retrieve vector embeddings efficiently, making it useful for AI-powered applications like semantic search, recommendation systems, and machine learning workflows.
Overview
This is a repackaged open-source software product wherein additional charges apply for support. With the growing importance of embeddings in technologies like natural language processing, recommendation engines, and generative AI, TurboPuffer provides an efficient interface for indexing and querying high-dimensional data. It is optimized for speed and scalability, making it suitable for both small-scale experimentation and production-level systems. By integrating seamlessly with Python environments, it helps developers build intelligent systems such as chatbots, search engines, and personalization platforms with minimal complexity.
Highlights
- High-performance vector search capabilities.
- Python-friendly and easy to integrate.
- Works well with modern AI frameworks and pipelines.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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.
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 |
|---|---|
m4.large Recommended | $0.07 |
t2.micro | $0.01 |
t3.micro | $0.07 |
t2.large | $0.07 |
t3.large | $0.07 |
r3.large | $0.07 |
r4.large | $0.07 |
t3.nano | $0.07 |
t3.medium | $0.07 |
t2.2xlarge | $0.07 |
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
Packaged with latest updates as of March 2026.
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt #cd turbopuffer-python-1.21.0 #source venv/bin/activate #python -c "import turbopuffer; print('TurboPuffer installed successfully')"
Support
Vendor support
"Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com "
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
Milvus, the world most popular open-source vector database (42k+ GitHub stars), now offers an official fully managed service: Zilliz Cloud, built by the original Milvus team. Purpose-built for GenAI embedding workloads and trusted by 10,000+ organizations, Zilliz delivers hybrid search and sub-10 ms latency at billion-vector scale. Enjoy a monthly Free Tier (5GB storage, 2.5M vCUs) or try Serverless/Dedicated free for 30 days, cancel anytime.
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