HX-SDP
The AI inference data plane as one signed runtime.
What used to be eight to thirteen services — vector store, cache, embeddings, retrieval, gateway — ships, scales, and signs as one platform on your GPU or CPU infrastructure.
The AI inference stack as one platform.
A modern AI inference system is not one thing. It is a stack of services, each from a different vendor, each with its own license, its own operational footprint, its own scaling story, its own integration burden: a vector database, a metadata store, a feature store, a cache layer, an embedding service, a retrieval orchestrator, an evaluation surface, a gateway.
The problem is not any one component. The problem is that nobody designed the system. It accreted. The customer ends up running a federation of vendors and calling it an inference platform.
HX-SDP is the system. One platform replaces the conglomerate. The customer ships one runtime, manages one operational surface, signs one license, scales one set of resources, and debugs one architecture. What used to be eight to thirteen procurement decisions, integration projects, and on-call rotations becomes one.
Inference is a system, not a conglomerate.
Same signed runtime payload across every shape.
Full air-gapped operation supported. License install, validation, and updates work without network access.