AI data center and IDC planning
Site, capacity, power, cooling, PUE, high-density racks, networks, fire protection, security, SLA and operating-cost planning.
BUSINESS SCOPE
AI infrastructure, software intelligence and lifecycle support
JOHO AI NEXUS organizes its work into seven service areas. The five established areas remain unchanged, with two additions: enterprise LLM and AI positioning services, plus server and switch lifecycle maintenance.
SEVEN BUSINESS LINES
What JOHO plans and integrates
Each engagement starts with requirements, specifications and site conditions before design, supply, deployment, validation and support are defined.
AI and GPU accelerated infrastructure
Servers, racks, high-speed fabric, storage, liquid cooling, power distribution, deployment validation and cluster operations, selected per project.
AI Compute Cloud, GPU leasing and APIs
Bare metal, GPU clusters, GPU-hour services, tenant isolation, metering, model APIs and service-level design.
Enterprise AI, industry models and AI agents
Enterprise knowledge, RAG, industry models, workflow agents, multi-agent coordination and human approval.
AI Gateway, FinOps, security and global deployment
Model routing, identity, keys, cost controls, observability, audit, data boundaries and multi-region governance.
AI software, LLMs and AI positioning
Model engineering, enterprise knowledge, AI agents, and indoor positioning and spatial intelligence integrated with LLM services.
Server and switch maintenance
Assessment, repair, firmware and configuration work, spare-parts planning, field service and maintenance contracts across mainstream brands and generations.
AI SOFTWARE & LLM
Enterprise LLM service plan
The goal is not a standalone chat screen. It is a managed system connecting models, enterprise data, tools, permissions and operational workflows.
Selection and model engineering
Evaluate commercial and open models, fine-tuning, quantization and private deployment against language, latency, cost and data requirements.
RAG and governed knowledge
Connect documents, databases and permissions to deliver traceable, updatable and auditable knowledge services.
Evaluation and LLMOps
Manage prompts, versions, quality, safety, hallucination risk, latency, token usage, cost and model replacement.
Agents and tool integration
Allow models to query systems, create tasks and assist workflows within approved permissions, with human approval and audit logs.
APIs and model gateway
OpenAI-compatible APIs, model routing, rate limits, tenant controls, key management and usage-based billing interfaces.
Cloud, IDC and edge deployment
Plan public cloud, private cloud, enterprise data center, GPU cluster and edge combinations based on data and performance needs.
AI POSITIONING & SPATIAL INTELLIGENCE
Indoor positioning that connects to enterprise AI
Based on the supplied VOVIA Trace Sensing AI materials: existing Wi‑Fi, Bluetooth and phone-sensor signals can support indoor positioning, while LLMs and agents add natural-language interaction and workflow automation.
INPUTWi‑Fi · BluetoothPhone sensors and floor plans
AI ENGINETrajectory learning and fingerprintsMultipath, floor, zone and route inference
OUTPUTLocation and spatial eventsCoordinates, floor, zone, path and dwell
Attendance verification
Bind identity, time, indoor location and authorized zones into auditable presence records for shifts, inspections and contractors.
Site operations
Connect people, events and response progress for equipment alarms, cleaning, security, facilities and venue operations.
Interactive assistant
Combine location, maps, knowledge and LLMs for store search, equipment lookup, patient guidance and location-aware service.
Spatial insights
Analyze flows, dwell, paths, heat maps and conversion funnels for layout, routing, event and facility decisions.
AR navigation and route sharing
Indoor and cross-floor navigation, meeting points, pickup locations and shareable route links with indoor-outdoor continuity.
LLM and agent spatial reasoning
Let users ask where someone is, what happened and what to do next while agents combine location and operational data.
Technology boundary
The positioning engine and an LLM are different layers. The positioning engine estimates location, trajectories and spatial events; the LLM or agent interprets questions, combines knowledge and triggers authorized workflows. Accuracy, deployment time and any supplemental hardware depend on radio conditions, phone models, floor layout and field validation.
POSITIONING USE CASES
Cross-industry possibilities
One engine can support different modules by site. Signal conditions, privacy, permissions and regulations must be assessed first.
Manufacturing and warehousing
Zone presence, inspections, maintenance dispatch, staff and vehicle paths, and restricted-area alerts.
Retail and malls
Indoor wayfinding, store search, pickup handoff, visit paths, dwell and heat-map analysis.
Healthcare and care facilities
Department and ward navigation, visitor guidance, sensitive-zone control and service dispatch.
Transport and large venues
Station, airport and exhibition navigation, cross-floor routes, meeting points, flow and incident support.
Campuses and offices
Attendance, visitors, room and facility navigation, inspections, emergency assembly and building-to-building routes.
Hotels and tourism
Guest wayfinding, facility and event search, accessible routes, service delivery and location-aware assistance.
Government and public services
Service-counter guidance, floor routing, authorized zones, event records and facility operations.
Logistics and delivery
Indoor last-meter delivery, pickup-point location, handoff evidence, route support and exception handling.
HARDWARE LIFECYCLE SERVICES
Server and switch maintenance
Mainstream brands and multiple equipment generations can be assessed. Actual repairability depends on serial number, fault condition, vendor controls, parts availability and data-security requirements.
Server maintenance
- GPU/AI, rack, blade and storage servers
- Motherboard, CPU, GPU, memory, NVMe/drives and RAID/HBA
- Power, fans, cooling, liquid loops, backplanes and high-speed interfaces
- BIOS, BMC, firmware, drivers and operating-system compatibility
Switch maintenance
- Ethernet, InfiniBand, ToR, leaf/spine, core and access switches
- Ports, switch silicon, control boards, power, fans and modules
- Optics, DAC/AOC, cabling and link-quality troubleshooting
- Firmware, configuration backup, restore and change validation
Service options
- Break/fix, onsite diagnosis, depot repair and remote support
- Annual maintenance, preventive service, health and firmware reviews
- Spare pools, advance replacement and EOL/EOS extension assessment
- Response times, coverage windows and SLA defined by contract
| Stage | Work | Deliverable |
|---|---|---|
| 01 Intake and asset review | Confirm equipment identity, serial, topology, alerts, support status, data sensitivity and downtime limits. | Asset list, fault description and priority. |
| 02 Diagnosis and root cause | Review logs, BMC, power, temperature, memory, storage, ports, packet errors and firmware. | Diagnostic report, risks and repair plan. |
| 03 Repair or replacement | Board repair, module replacement, firmware or configuration work after authorization. | Repair record, parts record and change list. |
| 04 Test and acceptance | Burn-in, stress, link, failover, thermal and functional tests against agreed criteria. | Test evidence, acceptance items and open risks. |
| 05 Return to service | Maintenance window, configuration restoration, alert follow-up, asset history and spares planning. | Go-live record, asset history and next actions. |
Service boundary
JOHO can assess equipment across brands and generations, but this does not mean every unit has available parts or can be repaired. In-warranty equipment should follow vendor procedures. For discontinued, locked, severely damaged or unsupported units, JOHO will recommend replacement, redundancy or retirement. Customers must back up data and authorize any data-bearing work.
START A PROJECT
Contact JOHO AI NEXUSStart with the site, equipment and use case
Share the current environment, target, asset list, data conditions or deployment region so JOHO can define an assessment scope and next step.