Overview
An AI Agent Node for Data Analysis.
Datalayer Agent Nodes enable organizations to deploy and operate production-grade AI agents wherever they need them: on developer laptops, AWS infrastructure, or hybrid environments. Each Agent Node provides a secure execution environment for AI agents with durable runtimes, policy-based governance, human-in-the-loop approvals, observability, and portable agent specifications that eliminate vendor lock-in. Teams can deploy AI agents close to their data while maintaining centralized visibility and control. Agent Nodes integrate natively with Jupyter notebooks, VS Code, CLI workflows, MCP (Model Context Protocol), AG-UI, A2UI, and modern AI development frameworks. Agents can safely execute tools, run Python code, interact with enterprise systems, and leverage managed CPU and GPU runtimes while exposing execution traces, logs, evaluations, and governance controls for production operations. Whether you are building AI assistants, data science copilots, research agents, enterprise automation, or autonomous developer workflows, Datalayer Agent Nodes provide the infrastructure to securely run, monitor, and scale AI agents across your organization while retaining full ownership of your runtime environment. Deploy on your laptop for development, on AWS for production, or combine both for hybrid deployments.
Highlights
- Deploy production-ready AI Agent Nodes on your laptop, AWS, or hybrid infrastructure with secure managed runtimes, portable agent specifications, and no vendor lock-in.
- Enterprise governance built in: policy controls, human approvals, observability, execution traces, evaluations, and auditable AI agent operations for production deployments.
- Native integration with Jupyter, VS Code, MCP (Model Context Protocol), CLI, AG-UI, and modern AI frameworks, enabling AI agents to securely execute code, tools, and enterprise workflows.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit |
|---|---|---|
Small CPU minutes | Runtime on 1 vCPU and 2 GiB memory | $0.0005 |
Medium CPU minutes | Runtime on 4 vCPU and 8 GiB memory | $0.001 |
Large CPU minutes | Runtime on more than 4 vCPU with more than 8 GiB, no GPU | $0.002 |
GPU minutes | Runtime on any GPU environment | $0.08 |
Credits | AI inference, external sandboxes, builds, one-off charges | $0.0001 |
Vendor refund policy
Refunds are evaluated on a case-by-case basis. If approved, the refund will be issued using the original payment method. Subscription cancellations stop future billing but do not automatically entitle customers to a refund for previous charges. For assistance, please contact support@datalayer.ai or visit https://datalayer.ai/support
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Documentation: https://datalayer.ai/docs/agent-nodes Support: https://datalayer.ai/support Email: support@datalayer.ai Customers receive documentation, email support, issue reporting, and product updates. Enterprise customers can receive priority support, onboarding assistance, and architecture guidance for production deployments. Open source community support is also available through the Datalayer GitHub repositories.
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.