At A Glance

Runtime is the foundational layer of BullSequana AI. It provides the core services that make the rest of the platform operational: secure access, traffic exposure, inference execution, workflow engines, storage, observability, and delivery automation.

What Runtime Includes

Runtime is organized around a small number of platform domains:

• Network for exposing and routing services
• Access and security for identity, authorization, secrets, and certificates
• Inference for running model-serving workloads
• Workflows and automation for event-driven and durable process execution
• Data and storage for operational data and object storage
• Observability for metrics, logs, traces, and dashboards
• Delivery for image publishing and GitOps deployment

Who Runtime Is For

Runtime matters to several audiences:

• Customers and buyers, who want a secure and production-ready base for AI and data services
• Platform teams, who operate the shared infrastructure layer
• Solution architects, who need to understand how higher layers depend on the platform
• Developers, who build on top of the services Runtime exposes

What Runtime Delivers

Runtime gives the platform a consistent way to:

• expose internal and external services
• authenticate users and services
• enforce authorization and secrets handling
• run inference engines and workflow systems
• persist application state and artifacts
• observe health, reliability, and performance
• deploy and update components through GitOps workflows

What Runtime Enables

CoreAI and ProAI do not replace Runtime. They build on it.

Runtime is therefore the layer that turns infrastructure into an operational AI platform rather than a collection of disconnected services.