Private copilots & retrieval
An infrastructure foundation for domain-specific assistants and retrieval over governed enterprise knowledge.
ENTERPRISE / SOLUTION PATTERNS
Enterprise AI Cloud Solutions
Turn an application requirement into an AI cloud deployment with compute, data, orchestration and governance. These are workload-led deployment patterns—not claims of off-the-shelf MCI application software.
FROM MODEL TO APPLICATION
Build around
the outcome.
Each engagement begins with your use case, data sensitivity and production target.
Document intelligence
Compute patterns for extraction, classification and language-based analysis of enterprise documents.
Vision & industrial intelligence
Accelerated environments for imaging, quality inspection, visual analytics and digital-twin workloads.
Scientific & engineering computing
GPU compute for simulation, research and memory-intensive model experimentation.
THE WORKLOAD LIFECYCLE
Train. Adapt. Serve.
Select your primary workload to explore its infrastructure requirements.
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
AN ENGINEERED PATH
From scope
to production.
Define the application, assess the architecture, align the engagement model and establish the operating plan.
01 / Scope
Application & data
Model type, dataset, latency, throughput and data residency requirements.
02 / Design
Compute & platform
GPU families, fabric, storage, orchestration and security controls.
03 / Operate
Production & economics
Capacity model, resource monitoring, scoped AIOps-led alert correlation and human-led incident response, with managed responsibilities agreed before launch.