High-Performance GPU Infrastructure for AI & ML
We design and deploy enterprise-grade GPU clusters — from hardware to network — built for AI, research, and high-performance workloads.
NVIDIA-powered. Data-centre ready. Optimised for model training, GPU workloads and sovereign deployments.
Request a Cluster Design & Deployment ConsultationWhat We Build
Dedicated NVIDIA GPU Clusters
HGX/MGX or PCIe GPU clusters tailored to your workload
OEM Hardware Integration
Dell, Supermicro, vendor-of-choice hardware selection and integration
Rack Layout & Power Design
Rack layout, power distribution and cooling design for high-density compute
High-Density GPU Compute
High-density GPU compute or mixed-use GPU/CPU node configurations
Network & Storage Architecture
High-Speed Networking
100–400 Gbps Ethernet, InfiniBand for GPU interconnect
GPU Interconnect
NVLink / NVSwitch / RDMA for low-latency GPU-to-GPU communication
Storage Solutions
NVMe-oF, GPUDirect, distributed storage for high-throughput data access
Performance Optimization
Data throughput, latency & I/O optimisation for training workloads
Deployment Models
On-Prem Data Centre Builds
Full GPU cluster deployment in your private data centre
Colocation / Co-lo Deployment
Rack & facility deployment in colocation data centres
Hybrid GPU + Cloud + On-Prem
Hybrid setups combining on-prem GPUs with cloud resources
Dedicated vs Shared Tenancy
Flexible tenancy options for different security and performance needs
Cluster Management & Operations
Orchestration
Kubernetes / bare-metal orchestration for GPU workloads
Resource Management
GPU scheduler, resource allocation, multi-tenancy isolation
Monitoring
Metrics, logging, GPU-utilisation dashboards
Lifecycle Management
Maintenance, patching, hardware lifecycle management
Why This Matters
Performance
Dedicated GPUs with predictable throughput vs cloud GPU variability
Sovereignty & Control
Full data residency, hardware ownership, compliance
Cost Predictability
Long-term TCO control and cost predictability
Our Approach
We work with you from initial scoping through to production deployment and ongoing optimisation.
Discovery
Understand your AI workloads, performance requirements and compliance needs
Design
Architect GPU clusters, networking, storage and orchestration layers
Deploy
Build and commission infrastructure with testing and validation
Optimise
Monitor performance, tune configurations and scale as needed
Technology Stack
We work with industry-leading hardware and software to deliver enterprise-grade GPU infrastructure.
Hardware
- • NVIDIA HGX H100/H200
- • NVIDIA A100 80GB
- • NVIDIA MGX platforms
- • InfiniBand HDR/NDR
- • Liquid cooling systems
Orchestration
- • Kubernetes + GPU Operator
- • Slurm workload manager
- • Ray distributed computing
- • Terraform infrastructure as code
- • Ansible automation
Monitoring
- • Prometheus + Grafana
- • NVIDIA DCGM
- • Custom GPU metrics
- • Cost tracking dashboards
- • Performance profiling
Ready to Build Your GPU Infrastructure?
Request a cluster design and deployment consultation with our infrastructure engineering team.