Dependency
Control your operating choices
A single deployment model can constrain data location, cost and growth. Private, reserved and dedicated options let requirements guide the cloud strategy.
MCI GROUP OF COMPANIES / COMPUTE INFRASTRUCTURE
MCI WORLDAI
AI cloud servers, GPU clusters and managed operations — one sovereign foundation for enterprise training, inference and production workloads.
NODE STATUS
COMPUTE-READY NETWORK
10,000+ GPUsINSTALLED + CONTRACTED
Workload-fit acceleratorsB300, GB200 NVL72, B200, H200, L40S and MI300X options.
17.83 PB high-performance storageParallel storage and checkpoints that keep models fed.
COMPUTE DATA HALL / HIGH-DENSITY VISUALIZATIONInside the infrastructure
MCI WORLD
Enterprise AI cloud.
Beyond the hardware.
MCI World combines cloud compute, data platforms, model operations and security for regulated and data-intensive industries. Hardware is the foundation; a governed, managed cloud is the operating model.
10,000+GPUs installed + contracted
17.83 PBProduction high-performance storage
100 MWcompute-ready capacity
6Operational data centers
Reference capability from the supplied MCI presentation. Deployment scope and availability are confirmed per engagement.
WHY NOW
AI is moving into production.
Is your cloud ready?
As models become part of everyday business, unpredictable demand, fragmented infrastructure and sensitive data create operational risk. Buying accelerators alone does not resolve latency, governance or continuity.
Complexity
Make the cluster work as one
GPU memory, high-speed fabric, shared storage and scheduling must work together. Size the cluster around training throughput, inference latency and repeatable checkpoints.
Continuity
Operate beyond the pilot
Production needs telemetry, security oversight and recovery planning—not just a successful demo. Define monitoring, escalation and recovery responsibilities before launch.
MANAGED SERVICES & MONITORING
Keep the workload running.
Keep the team informed.
5+ years of experience support a workload-led approach. Managed operations connect resource telemetry, NOC and SOC oversight, incident handling and recovery planning; coverage and service commitments are agreed per engagement.
Observe
Visibility across the cloud
Track GPU utilisation, job queues, host health, storage and network behaviour to identify bottlenecks before they disrupt the workload.
Respond
AIOps-led monitoring
Scope anomaly detection, alert correlation and incident triage around your estate, with human review and agreed escalation—not a promise of autonomous remediation.
Recover
Resilience with accountability
Plan backup, recovery, patching and capacity reviews alongside model operations. Agree recovery objectives, maintenance windows and ownership before production.
THE MCI World PLATFORM
Not just GPUs.
An operating cloud for AI.
From a pilot model to a dedicated cloud estate, align AI cloud servers, cluster scheduling, data and monitoring under one workload-led service strategy.
01
AI Cloud & GPU Clusters
Workload-led AI cloud for training, fine-tuning, inference and simulation, with on-demand, reserved and dedicated engagement models. Cluster configurations and availability are confirmed per project.
02
AI Cloud Servers & Orchestration
CPU and GPU cloud servers, containers and private networks supporting AI workloads. Slurm and Kubernetes scheduling align jobs, resources and access controls.
03
Compute Data Infrastructure
High-throughput parallel storage, object archives and checkpointing that keep your models supplied with data.
04
Managed AI Operations & Monitoring
Model lifecycle workflows, utilisation telemetry and managed operations from experimentation to serving. AIOps-led monitoring can be scoped for anomaly detection, alert correlation and incident triage.
05
Sovereign & Secure AI Cloud
Tenant isolation, auditable access and continuous security operations, with private deployment choices for sensitive workloads.
06
Cloud Data Centers & Operations
High-density facilities, direct-to-chip liquid cooling, managed operations and a path to captive compute infrastructure.
BUILT AROUND YOUR WORKLOAD
What will you build?
The application comes first. Match your model, data and performance requirements to the right compute architecture.
Large-model training
Give large models room to learn.
Align accelerator memory, interconnect and parallel storage for distributed training and repeatable checkpoints.
- Multi-GPU compute
- High-bandwidth fabric
- Parallel high-performance storage
- Slurm or Kubernetes
HIGH-PERFORMANCE INFRASTRUCTURE
Performance is
a system decision.
Accelerated silicon
B300, GB200 NVL72, B200, H200, L40S and MI300X workload options.
Fabric & data
800G-class networking, parallel storage and reliable checkpoint movement.
Power & cooling
Direct-to-chip liquid cooling and 58 kW sustained rack density.
Production operations
Slurm, Kubernetes, utilisation telemetry and 24×7 NOC + SOC.
YOUR COMPUTE. YOUR CONTROL.
A sovereign foundation.
A practical path forward.
Choose how you consume compute without losing sight of data governance, cost or the long-term operating model.
On demand
Start with a workload
Per-GPU-hour commercial structures for an initial compute requirement.
Discuss this modelReserved & dedicated
Secure your production base
Align committed capacity and managed operations to predictable demand.
Discuss this modelCaptive infrastructure
Build for the long term
A route to dedicated design, supply and operations, including BOOT models.
Discuss this modelENTERPRISE APPLICATIONS
One foundation.
Many possibilities.
Explore solution patterns for regulated enterprises, research teams and data-intensive industries.
LET’S BUILD YOUR intelligent computing FOUNDATION