Sold by: Software Sushi
Deployed on AWS
Store embeddings and query persistent vector collections with Chroma on Ubuntu 24.04.
Overview
Store embeddings, metadata and documents in a persistent Chroma 1.5.9 vector database packaged by Software Sushi for Ubuntu 24.04. Create collections, upsert caller-supplied embeddings and query nearest neighbors through an HTTP API restricted to the instance loopback interface. The installed demo creates synthetic records and independently checks the returned identifiers and distances. The application is licensed under Apache License 2.0.
Launch t3.medium with at least 4 GiB RAM and 32 GiB encrypted gp3 root storage. Require IMDSv2 and keep inbound application ports closed. Connect with AWS Systems Manager Session Manager, wait for cloud-init to finish, and run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh. Reach service port 8000 through a Session Manager port-forwarding session or an SSH tunnel. Access is controlled by authenticated instance login and the tunnel. The selected Chroma server has no application authentication, and local instance users can reach the API. Do not expose the forwarded API to untrusted networks. The instance guide explains API calls and persistence checks.
This CPU single-instance package provides an API and persistent local storage. Supply your own embeddings; no embedding model, model-provider subscription, browser dashboard or high-availability configuration is included. Software Sushi provides AMI packaging and setup guidance. This independent offering does not imply sponsorship or endorsement by Chroma or Amazon Web Services.
Software costs USD 0.03 per running instance-hour. EC2, EBS and data transfer are billed separately. Contact info@softwaresushi.com for installation questions. Upstream documentation: https://docs.trychroma.com/
Getting started: https://softwaresushi-marketplace-branding-public.s3.amazonaws.com/docs/chroma/getting-started.html
Highlights
- Persistent Chroma vector database API for your own embeddings, with data kept on local storage.
- Listens on loopback only; reach it through a Session Manager or SSH tunnel (no browser UI included).
- Included demo writes and queries sample vectors, and a separate check verifies they persist.
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
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.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.03 |
Vendor refund policy
We offer a full refund of software charges for the first 48 hours billing starts if the product does not perform as described. To request a refund, email info@softwaresushi.com with your EC2 instance ID and a description of the issue. AWS infrastructure costs (EC2, EBS, data transfer) are not eligible for refund by us.
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
Store and query explicit embeddings with a persistent single-node Chroma API on Ubuntu 24.04. Includes a loopback-only service, persistent local storage, a customer demo and independent readback. Recommended t3.medium with 4 GiB RAM and 32 GiB root storage.
Additional details
Usage instructions
- Launch t3.medium with at least 4 GiB RAM and 32 GiB encrypted gp3 root storage. Require IMDSv2 and keep inbound application ports closed.
- Connect using AWS Systems Manager Session Manager. The session starts as ssm-user. Wait for cloud-init to finish, then run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh.
- The demo creates a collection, writes three synthetic vectors with caller-supplied embeddings, and independently verifies the saved records and nearest-neighbour result.
- Reach service port 8000 through a Session Manager port-forwarding session or an SSH tunnel. This is a JSON API with no bundled browser dashboard. The server has no application authentication; authenticated instance login and the tunnel control access. Local instance users can reach the API. Keep forwarded ports off untrusted networks.
- Keep the printed manifest and repeat its read-only checks after a restart. No embedding model or provider key is required. Software is USD 0.03 per running instance-hour; EC2, EBS and transfer are separate. Getting started: https://softwaresushi-marketplace-branding-public.s3.amazonaws.com/docs/chroma/getting-started.html Support: info@softwaresushi.com .
Resources
Vendor resources
Support
Vendor support
Software Sushi provides AMI packaging and setup guidance. Contact info@softwaresushi.com for installation questions. Support coverage requires a separate agreement; this offer does not include upstream project support.
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
Collect, clean and route logs on your own instance. Vector 0.58.0 accepts JSON over HTTPS with a password, redacts sensitive fields with a VRL program, buffers to disk and writes to a local file. An S3 sink example is included. Built-in walkthrough on Ubuntu 24.04.
Qdrant is an open source vector database for semantic search and retrieval-augmented generation (RAG). Store embeddings and query by similarity from your AI apps. This Ubuntu 24.04 AMI runs single-node Qdrant 1.19.2 with HTTP and gRPC on the loopback interface, an API key generated per instance and persistent local storage, sized for prototypes and small workloads.
Experience seamless AI development with our VM offering ChromaDB for fast vector search, JupyterHub for interactive notebooks, and a generative AI benchmarking app designed to accelerate your AI workflows and simplify data management.
Finds and removes Brazilian personal data (CPF, CNPJ, RG, names, addresses, phones, bank details, vehicle plates and more) from Portuguese text, inside your own AWS account, with no network access. Real-time endpoints and batch jobs over JSON Lines, CSV and plain-text files.
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.