AI Computing Solutions

Full-stack AI infrastructure solutions

Plan power, capital, cluster performance and customer operations around the workload. MYE helps owners decide when to invest, how to validate the system and how to run it after launch.

Explore fee models ↓

Illustrative facility and cluster architecture

Three constraints on global AI infrastructure investment

Grid connections and critical equipment have different lead times. Costs, rack densities and customer demand also change. Together they determine which phase an owner can bring into service and when billing can begin.

Global data center electricity demand

2025 · IEA estimate485 TWh

2030 · IEA central projection950 TWh

Figures cover data centers of all types worldwide. The 2030 value is a scenario projection.

IEA · Key Questions on Energy and AI (2026) ↗

When will committed power be available?

Align grid approvals, first-phase IT load and customer ramp-up before sizing the first phase or releasing an expansion.

Investment planning ↘

Will the full cluster be ready when equipment arrives?

Review rack power, liquid-cooling interfaces, GPUs, networking and storage together. Schedule long-lead items against facility readiness.

Cluster delivery ↘

When does installed capacity start earning revenue?

Match available capacity, customer acceptance and billing start dates for each order, then track service costs, renewals and collections.

Managed operations ↘

Industry context on power availability, costs and supply constraints: Uptime Institute Global Data Center Survey 2026 ↗

Investors, campuses and owners planning new builds or retrofits

Investment & Operating Strategy

How much to build now, and when to expand

Start with customer workloads and installation commitments. Verify utility power, site, connectivity and cooling. Bring facilities, cluster equipment, operating costs and phasing into one investment model for the owner.

One investment model, three launch scenarios

Track grid capacity, deliverable IT load and billable capacity separately. Model capital spending, electricity, operating costs and customer revenue by period, then assess cash flow, IRR and sensitivity.

Scenario	Inputs to review	Decision supported
On-time launch	InputsConfirmed grid date, initial customer commitments and facilities and equipment quotes	DecisionCompare cash needs, break-even occupancy and payback across first-phase sizes
Grid or equipment delay	InputsPower availability, long-lead items, payment and delivery dates	DecisionReschedule orders and commissioning, then quantify tied-up capital and the cash shortfall
Slower customer take-up	InputsTime from signature to installation, actual load, collection terms and fixed costs	DecisionReassess minimum viable scale and define when to release the next expansion

Services you can commission

AI Computing Center Feasibility Study

Resolve gaps between demand, available resources and investment scale with a verifiable basis for project approval and investment decisions.

Best fit Proposed investment, new-build or phased expansion

Fee modelFixed project consulting fee

Deliverables, customer outcomes and payment terms

Deliverables

Demand, customer mix, site, power and connectivity assessment
Capital expenditure, operating costs, revenue and cash-flow models
Payback, IRR and occupancy / electricity-price sensitivities, with phasing recommendations

Customer outcome

Align capacity, budget and operating assumptions to identify investment timing and key risks

Quotation basis

Based on site count, capacity, research depth and model complexity

Settlement and scope

Payments at kickoff, draft delivery and final acceptance

Specialized approvals, site testing and additional scenarios are scoped separately; model outputs depend on assumptions

Compute Infrastructure Planning & Design

Resolve mismatches in power, cooling, racks and construction timing, reducing under-provisioning and excessive reserved capacity.

Best fit New facilities, high-density retrofits and phased expansion

Fee modelFees by scope and design stage

Deliverables, customer outcomes and payment terms

Deliverables

Capacity and layout planning, rack density, power and cooling strategy
Liquid-cooling interfaces and redundancy boundaries, connectivity, water constraints and energy metering requirements
Phased budgets, equipment recommendations, design reviews and delivery scope

Customer outcome

Create a common baseline for detailed design, procurement and construction coordination

Quotation basis

Project fee based on MW capacity, disciplines, design depth and retrofit complexity

Settlement and scope

Milestones for concept design, detailed review and handover

Construction drawings, design approvals and specialist engineering are separately scoped with appropriate design firms

Compute Cluster System Design

Prevent bottlenecks caused by isolated compute, storage, network and platform choices with workload- and budget-led system design.

Best fit AI training, inference platforms and research clusters

Fee modelDesign fee by cluster scale and system complexity

Deliverables, customer outcomes and payment terms

Deliverables

GPU / CPU, storage, IB / RoCE networking and facility capacity alignment
Resource pools, scheduling, access, monitoring and phased expansion architecture
Hardware and software lists, total budget, validation and acceptance plan

Customer outcome

Guide procurement with one architecture and acceptance baseline, reducing integration uncertainty

Quotation basis

Based on compute nodes, fabric scale, software integration and validation depth

Settlement and scope

Milestones for requirements, architecture review and design delivery

Design is itemized separately from hardware, licenses and implementation

AI companies, cloud providers, researchers and cluster deployment teams

AI Computing Center Solutions

Commission a complete cluster from individual components

Size the system for the target training or inference workload. Check interfaces across facilities, compute, networking, storage and scheduling. Agree compatible parts and substitutions before buying, then validate the cluster with customer jobs and hand over its configuration baseline.

Accept the cluster against a customer workload

Agree test conditions, performance targets and pass criteria. Use the same configuration for commissioning and retests. Select a workload to see an example.

Acceptance scenario Training cluster Inference cluster

Compute and cooling: Run a representative training job with a fixed model, precision and batch size. Record step time, rack power and temperature under sustained load.
Fabric and storage: Scale from one node to many. Measure collective bandwidth, scaling efficiency, data reads and checkpoint writes. NCCL AllReduce is one option on NVIDIA hardware.
Acceptance and handover: Deliver test configurations, load curves, performance baselines and retest records for use during expansion.

Compute and cooling: Fix the model, precision and input and output lengths. Increase concurrent requests in steps while checking peak power and thermal headroom.
Service performance: Measure time to first token, end-to-end p95 latency, throughput and errors together to establish concurrency levels that meet the service objective.
Acceptance and handover: Exercise instance failure and scaling, and record recovery time. Hand over capacity curves, alert thresholds and a launch checklist.

Services you can commission

Compute Cloud Cluster Solutions

Turn purchased equipment into usable resource pools by connecting facility readiness, compute integration, platform deployment and workload validation.

Best fit Cloud providers, AI companies and research platforms

Fee modelHardware and software licenses + integration fee

Deliverables, customer outcomes and payment terms

Deliverables

GPU / CPU, storage and network procurement and integration, with facility interface checks
Scoped deployment of resource pools, scheduling, access, metering and monitoring
Commissioning, workload tests, acceptance records, training and operational handover

Customer outcome

Turn a bill of materials into a manageable, scalable and verifiable cluster with coordinated delivery

Quotation basis

Itemized hardware, licenses, implementation, testing and training; optional annual technical support

Settlement and scope

Payments tied to procurement, delivery, deployment and acceptance

Third-party equipment leasing or staged procurement can be coordinated; funding costs and contracts are separate

InfiniBand / RoCE Networking

Address communication bottlenecks, compatibility and expansion planning with an InfiniBand or RoCE design suited to the workload.

Best fit GPU clusters, research computing and AI computing centers

Fee modelNetwork bill of materials + design and integration fee

Deliverables, customer outcomes and payment terms

Deliverables

Topology, ports, links, switches, NICs, optics and cabling design
Deployment, redundancy, congestion control, commissioning and monitoring
RDMA and collective communication testing, configuration records and operational handover

Customer outcome

Validate end-to-end communication against agreed workloads, with a baseline for performance and expansion

Quotation basis

Based on node / port count, topology and test scope; design-only engagements available

Settlement and scope

Milestones for design, delivery, commissioning and performance acceptance

Vendor support, spares and annual network operations are configured separately by service level

Third-party data center owners, campuses and infrastructure investors

Managed AI Computing Center Operations

Turn available capacity into ongoing customer service

At transition, review facilities, staffing, live contracts and customers. Agree service boundaries and escalation paths. Assign shifts, changes and incident response by role, deliver each customer order and review operating and commercial results monthly.

Services you can commission

Explore managed operations

Facility Operations & Operating Systems

Address gaps in staffing, procedures and incident readiness with defined responsibilities and traceable facility operations.

Best fit Third-party facilities preparing to launch or already operating

Fee modelTransition fee + monthly / annual operations fee

Deliverables, customer outcomes and payment terms

Deliverables

Current-state assessment, transition plan, on-site teams and training
Inspections, preventive maintenance, change, incident and spare-parts procedures
SLA, energy and capacity metrics, incident reviews and monthly operations reports

Customer outcome

Improve operational consistency and give owners visibility into condition, risk and performance

Quotation basis

Based on managed capacity, system complexity, shifts, staffing and SLA

Settlement and scope

Choose a fixed service fee or verified staffing / subcontractor costs plus a management fee, billed periodically

Major repairs, spares, energy and retrofits are separate; performance adjustments are agreed in the contract

Customer Delivery & Service Activation

Bridge sales commitments, available resources and launch schedules by turning each order into an actionable, traceable delivery plan.

Best fit Centers onboarding new customers or expanding services

Fee modelPer project / batch, or an agreed recurring service package

Deliverables, customer outcomes and payment terms

Deliverables

Requirements, resource checks, delivery schedules and customer coordination
Rack, power, network, equipment installation and cutover coordination
Activation tests, customer acceptance, documentation and service handover

Customer outcome

Unify customer and site coordination to reduce delays and rework, with clear delivery progress

Quotation basis

Workload assessed by racks, devices, links, cutover complexity and delivery windows

Settlement and scope

Per-batch acceptance, or recurring agreed volumes with defined overage rates

Equipment, cables, transport and out-of-window work are itemized without duplicating operations-package charges

Ongoing Customer Care & Business Development

Connect available capacity with customer demand and ongoing service. Draw on capabilities supporting 3,600+ customers to coordinate enquiries, delivery, support and renewals.

Best fit Owners seeking customer acquisition, service management and renewal support

Fee modelRecurring service fee + optional acquisition performance fee

Deliverables, customer outcomes and payment terms

Deliverables

Customer profiles, resource matching, opportunity coordination and contracting support
Service desk, tickets, SLA tracking, metering and billing coordination
Customer reviews, renewals, expansion, pipeline and monthly business-service reports

Customer outcome

Connect acquisition with ongoing care, improving resource matching and supporting long-term operations

Quotation basis

Base fee determined by customer volume, staffing and service hours

Settlement and scope

New-customer fees may be an agreed share of eligible receipts or a fixed success fee, with attribution and periods defined in advance

Define tax, energy and pass-through exclusions; contracting, occupancy and collections are verified against actual progress

What informs each MYE design

Site conditions determine deliverable capacity, suppliers determine lead times and funding affects phasing. MYE reviews all three at design sign-off.

Experience from operating sites

Wuhan spans core and campus edge sites, while Shannan’s first phase targets 40 kW training racks. Design reviews check site power, cooling, connectivity and maintenance windows.

Explore site specifications

Full-stack procurement

Facilities equipment, GPUs, switches and optics are priced as compatible kits. The procurement plan records approved substitutes, lead times and warranty boundaries.

Explore sourcing and price analysis

Third-party funding coordination

Where appropriate, coordinate staged purchases or equipment leasing and align payment with delivery, acceptance and launch. Third parties approve and contract independently, with funding costs itemized.

Choose how to engage MYE

Each quote identifies tasks, deliverables and acceptance milestones. Commission one service or combine stages under a single scope review to avoid duplicate charges.

Investment strategy

Project consulting fees · deliverable-based milestones

Cluster delivery

Hardware & licenses + integration + optional annual support

Managed operations

Recurring service fees + optional customer acquisition fees

Amounts, tax, SLAs, staffing and performance measures are agreed in the project proposal and contract.