SCCI AI Orchestration Lab

Live demonstration of adaptive AI orchestration across multiple devices. Requests are dynamically analyzed and executed through the most suitable service path in real time.

Telecom-Inspired AI Orchestration

SCCI Control Layer

SCCI — Smart Cognitive Cluster Intelligence

The SCCI AI Orchestration Lab orchestrates distributed AI inference across a heterogeneous cluster of devices. It evaluates request intent, session context, cluster state, and shared compute availability to route each workload through the most suitable path. Nodes are assigned preferred roles for efficiency, such as chat, helper, tools, or multimodal processing. However, these roles are not fixed. Because each device runs compatible inference endpoints, the router can dynamically reuse any capable node when needed. Lightweight chat can begin on phone nodes, predictive prewarm can prepare another bearer before context saturation, adaptive handover + reuse can move a live session across nodes, and heavier workloads can escalate toward shared compute only when required. This enables a system that is specialized by default, but flexible under pressure.

Architecture Overview

Clients · Web UI / API / Apps SCCI Orchestrator FastAPI Control Plane intent · bucket selection monitoring · prewarm · handover AI Service Orchestration Chat / Helper / Tool Decisions B-PHONE0 preferred chat · B-PHONE1 preferred helper B-PHONE2 preferred tools · B-PHONE3 preferred step-up role-flexible multimodal reuse Media Services Voice Engine preferred voice service lane can execute on B-CPU0 or B-GPU0 Image Generation preferred generation service lane prefers B-PHONE3 or B-GPU0 fallback B-PHONE0 preferred chat B-PHONE1 preferred helper B-PHONE2 preferred tools B-PHONE3 preferred chat + image flexible reuse shared compute pool B-CPU0 reasoning · longctx preferred voice B-GPU0 vision · heavy infer image · voice flex adaptive handover + reuse preferred lanes can shift when needed shared compute + flexible fallback preferred roles with dynamic reassignment
Animated orchestration pulses Glowing router node Preferred helper / tool lanes B-PHONE3 preferred chat + image Shared compute pool Preferred voice on B-CPU0 or B-GPU0 Preferred image on B-PHONE3 or B-GPU0

Preferred Roles & Service Fabric

B-PHONE0

Preferred lightweight chat lane for initial edge conversations, with the ability to be reused for other workloads if required by the router.

B-PHONE1

Preferred UI helper lane, with the router able to reassign this node dynamically based on service demand.

B-PHONE2

Preferred tool and function execution lane, while remaining available for reassigned workloads when needed.

B-PHONE3

Step-up edge node for chat and role-flexible multimodal reuse, with the router also able to escalate from B-PHONE0 toward B-PHONE3 before heavier shared-compute fallback.

B-CPU0

Shared compute node for reasoning, long-context workloads, and voice execution, while still participating in the flexible orchestration fabric.

B-GPU0

Shared compute node for vision, heavy inference, image generation, and optional voice execution, while still participating in the flexible orchestration fabric.

Media Services

Voice Engine and Image Generation use preferred lanes by default, while remaining free to shift across compatible nodes when load, availability, or escalation requires it.

Orchestration Intelligence Preview

Representative orchestration telemetry showing how SCCI selects nodes, performs handover, and applies fallback or reuse strategies across distributed services.

Request chat / multimodal assist
Selected Node B-PHONE3
Preferred Path edge chat + native image
Fallback Chain B-PHONE3 → B-CPU0 → B-GPU0
synthetic realtime telemetry
router log palette aligned with SCCI
blue = decisions / routing purple = prewarm / handover / state green = success / completion cyan = direct response / memory gate amber = warnings / retry red = failure / safety violet = media lanes

Representative orchestration flow showing decision logic, node selection, handover, fallback, and workload reuse across distributed services.

Adaptive Role Fabric

SCCI does not operate on fixed node assignments. Each device exposes compatible inference capabilities, allowing the router to dynamically reuse nodes beyond their preferred roles.

[MODEL] role=preferred, not fixed
[CAPABILITY] all nodes expose compatible inference endpoints
[REUSE] router can reassign workloads across nodes
[ADAPTATION] roles shift under load or availability changes
[RESULT] specialization + flexibility in one system

System Proof

Live orchestration proof Full system scenario

See SCCI In Action

Watch real orchestration behavior as the system selects nodes, performs handover, and escalates workloads across distributed AI services.

This is not a simulation — it is the execution flow of the system you just explored.

Watch Live Orchestration Demo
What you seeNode selection, handover, and workload escalation across distributed services.
Why it mattersIt proves SCCI behaves like a live orchestration layer, not a static pipeline.
Real orchestration execution

Adaptive Handover Scenario

SESSION CONTINUITY · WI-FI LOSS · FALLBACK TO B-PHONE3

This scenario isolates one of the strongest SCCI behaviors: the ability to keep a live session moving when the active node loses connectivity.

During the demo, Wi-Fi is manually disabled on B-PHONE0. SCCI detects the node availability change and hands the active session over to B-PHONE3 so the flow continues.

It is a clean proof of fallback orchestration under real disruption: one phone drops off the path, another phone immediately takes over.

Handover Scenario

Live continuity Wi-Fi failover to B-PHONE3

Watch Handover Demo

A dedicated handover scenario demonstration focused on Wi-Fi loss on B-PHONE0 and fallback handover to B-PHONE3.

Watch the exact moment where Wi-Fi is disabled on B-PHONE0 and the router shifts the active session onto B-PHONE3.

Watch Handover Scenario
What you seeWi-Fi disabled on B-PHONE0, then live fallback and continuity on B-PHONE3.
Why it mattersIt demonstrates real resilience to node connectivity loss, not only task dispatch.
Real Wi-Fi failover execution

Edge-Only Execution (Mobile Orchestration)

PHONES CLUSTER · EDGE AI EXECUTION

This demonstration shows SCCI operating across multiple mobile devices without centralized compute servers.

All workloads are dynamically routed across a coordinated set of phones, validating real edge AI orchestration under live execution conditions.

This complements the main system demo by showcasing the same routing intelligence in a distributed mobile execution scenario.

Edge Scenario

Phones-only edge nodes Edge AI orchestration

Watch Edge-Only Demo

Explore a real edge AI orchestration demonstration across mobile devices .

See AI workloads routed across a coordinated phone-based AI services, highlighting SCCI behavior in an edge-focused scenario.

This second scenario highlights mobile edge orchestration and validates the system under fully distributed edge conditions.

Watch Edge AI (Phones Cluster)
What you seeChat, tool, helper, and image workloads distributed across coordinated phones.
Why it mattersIt shows SCCI can validate distributed AI behavior without relying on centralized servers.
Phones-only orchestration
The SCCI AI Orchestration Lab demonstrates distributed AI orchestration across phone, CPU, and GPU nodes. It visualizes orchestration telemetry, node selection, multimodal orchestration, preferred roles, adaptive handover, fallback execution, and a dedicated handover scenario demo.