# AI Workload Routing

Canonical URL: https://aiworkloadrouting.com/
Publication status: published
Deployment status: active
Version: 2.2.1
Last modified: 2026-08-06
Managed by: LJP Asset Group LLC
Publisher: https://ljpassetgroup.com/
Contact: support@ljpassetgroup.com

## Governing question

How can workload placement and path choices be evaluated across distributed AI infrastructure?

## Direct answer

This reference isolates workload placement and path-selection questions without defining one routing or scheduling method.

## Why it matters

AI infrastructure choices depend on clear boundaries among infrastructure functions so that assumptions, interfaces, and evidence can be evaluated in context.

## Definition

The architectural consideration of how AI workloads are directed among eligible compute, data, and network contexts.


## Capability relationships

AI Workload Routing is related to Intelligent Compute Fabric, but each addresses a distinct architectural question.

## Standards and authority context

AI Workload Routing is an LJP-defined architectural compound term. AI workload placement, network routing, scheduling, and distributed execution are established technical areas, but no sufficiently strong institutional source currently defines the complete compound term as a standards-defined function. The namespace is used as an architectural reference for that intersection.

## Package

AI Workload Routing is one peer Capability Namespace within Network Compute Fabric at https://networkcomputefabric.com/.

## Credibility boundary

This namespace does not prescribe an architecture, vendor, standard interpretation, configuration, routing policy, optical design, workload policy, service commitment, or implementation method.

## Resources

- Namespace manifest: https://aiworkloadrouting.com/namespace.json
- Public ontology: https://aiworkloadrouting.com/ontology.jsonld
- Sitemap: https://aiworkloadrouting.com/sitemap.xml