AI Infrastructure
Facilities, power, cooling, accelerated computing resources, storage and high-speed networks.
JOHO AI NEXUS · FUTURE DEVELOPMENT
Enterprise AI platform blueprint
A target architecture connecting physical infrastructure, compute resources, models and enterprise applications. This is a future direction, not a description of an already deployed platform.
Three primary layers
Products, specifications and deployment methods are selected per engagement.
Compute Orchestration
Resource pools, scheduling, monitoring, metering, tenant controls and FinOps.
Model · Data · Agent
LLMs, model gateways, RAG, enterprise knowledge, evaluation, agents and workflows.
COMMON CAPABILITIES
Shared controls
Controls span infrastructure and applications.
Identity
Access
Access
Scheduling
Resources
Resources
Observability
Telemetry
Telemetry
Metering
Usage
Usage
Governance
Model and data
Model and data
Security
Audit
Audit
SOFTWARE AI LAYER
Connecting LLMs and spatial intelligence
The positioning engine provides location and spatial events; LLMs, RAG and agents provide understanding, knowledge and workflow.
04Enterprise applications and agentsAssistant · Workflow · Human Approval
03LLM, RAG and model gatewayKnowledge · Evaluation · API · LLMOps
02AI positioning and spatial eventsLocation · Floor · Zone · Path · Dwell
01Compute, data and site signalsGPU · Data · Wi‑Fi · Bluetooth · Sensors
Integration principle
Each layer is validated separately. Positioning accuracy, model quality, permissions and automated actions must not be treated as the same result.