Sold by: OpenLink Software
Deployed on AWS
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Cloud Hosted Pay-As-You-Go (PAGO) edition of the High-Performance, Scalable, and Secure OpenLink AI Layer (OPAL).
Overview
This pre-configured AMI includes a Virtuoso 08.03.3334 instance and the OPAL Middleware Layer, collectively providing a powerful platform for creating, deploying, and using large language model (LLM)-based AI agents with the following capabilities:
- Direct execution of declarative query languages such as SQL, SPARQL, and GraphQL, enabling powerful RAG and GraphRAG processing pipelines that leverage a variety of loosely coupled data, information, and knowledge sources.
- Loosely coupled integration with any web service described using an OpenAPI-compliant YAML or JSON description document.
- Support for a variety of large language models from providers such as OpenAI, Anthropic, Google, DeepSeek, Alibaba, Meta, Microsoft, and others.
- Loosely coupled mechanisms for identity, identification, authentication, authorization, and storage.
- Support for the Model Context Protocol (MCP) as both a server and a client, where functioning as a client allows the incorporation of tools from other MCP servers.
- Creation and deployment of AI assistants using natural language descriptions expressed in Markdown, such as the Virtuoso Support Assistant, Virtuoso Database Admin Assistant, RSS and OPML Assistant, ODBC and JDBC Driver Assistant, and others.
- Execution of batch operations against LLMs that support batching through their respective implementations of the Batch Processing API, as provided by OpenAI and others.
Highlights
- Simplified development and deployment of secure, cutting-edge AI agents across both public and private networks. These AI Agents are equipped with loose coupling to data spaces (databases, knowledge graphs, and filesystems).
- Model Context Protocol (MCP) support as a Client or Server. Support for Agent-2-Agent (A2A) Protocol support for Agentic workflows.
- Loosely coupled identity, identification, authentication, authorization, and storage.
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
Free trial
Try this product free for 15 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. 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.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.435 |
r5.4xlarge | $1.74 |
m3.2xlarge | $0.87 |
r5.xlarge | $0.435 |
m4.2xlarge | $0.87 |
r5.12xlarge | $5.22 |
r4.large | $0.435 |
m4.16xlarge | $5.916 |
r4.xlarge | $0.435 |
r4.8xlarge | $3.48 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run OPAL on. Pricing is usage-based, so charges accrue while your instance is active. The dimensions map to different Amazon EC2 instance families and sizes, spanning general-purpose (m3, m4, m5zn), memory-optimized (r4, r5), and high-memory (x1e) types. Within each family, hourly cost scales with the instance size, from smaller (large, xlarge) up to larger configurations (16xlarge, 32xlarge, metal). You choose the instance that fits your workload, and no upfront commitment applies.
Top-of-mind questions for buyers
The hourly charge covers running the OPAL software on your chosen Amazon EC2 instance. You still need an active AWS account and your own Large Language Model provider API key. OPAL connects to LLM providers you register, so those provider fees are separate from the hourly instance cost.
Hourly software charges accrue only while your instance runs. A stopped instance does not incur the OPAL hourly rate. Note that underlying AWS storage for a stopped instance may still bill separately through AWS. To halt software charges, stop or terminate the instance.
Cost is metered per running instance-hour for the instance you run. Moving to a memory-optimized or high-memory type, or a size like 16xlarge or metal, raises the hourly rate. You launch one instance at a time, so cost reflects that single instance's size and running hours.
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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
This pre-configured AMI includes a Virtuoso 08.03.3335 instance and the OPAL Middleware Layer, collectively providing a powerful platform for creating, deploying, and using large language model (LLM)-based AI agents with the following capabilities: 1. Direct execution of declarative query languages such as SQL, SPARQL, and GraphQL, enabling powerful RAG and GraphRAG processing pipelines that leverage a variety of loosely coupled data, information, and knowledge sources. 2. Loosely coupled integration with any web service described using an OpenAPI-compliant YAML or JSON description document. 3. Support for a variety of large language models from providers such as OpenAI, Anthropic, Google, DeepSeek, Alibaba, Meta, Microsoft, and others. 4. Loosely coupled mechanisms for identity, identification, authentication, authorization, and storage. 5. Support for the Model Context Protocol (MCP) as both a server and a client, where functioning as a client allows the incorporation of tools from other MCP servers. 6. Creation and deployment of AI assistants using natural language descriptions expressed in Markdown, such as the Virtuoso Support Assistant, Virtuoso Database Admin Assistant, RSS and OPML Assistant, ODBC and JDBC Driver Assistant, and others. 7. Execution of batch operations against LLMs that support batching through their respective implementations of the Batch Processing API, as provided by OpenAI and others. 8. Support for the Agent-2-Agent (A2A) Protocol for Agentic workflows construction and deployment.
Additional details
Usage instructions
Once this AMI is successfully initialized (which can take 5 minutes or more) you initially setup the OpenLink AI Layer (OPAL) via any of the following:
- http://{ec2-dns-name}/conductor
- via ssh as user "ubuntu"
In either case, you follow the guidelines in the setup and installation document at: https://community.openlinksw.com/t/openlink-personal-assistant-vad-installation-configuration-and-usage-guide/4112
Resources
Support
Vendor support
Online, Email, and Phone options available support@openlinksw.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.
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