Solutions built around the outcome you need.
Each solution brings together the right services, engineers and 24×7 operations into one delivery plan for a single business goal, from building an AI data center to running your infrastructure every day.
AI Data Center
For: Enterprises and research teams building private AI capacity
AI workloads need power, cooling, GPU density and network fabrics that most data centers were not built for. Getting any one of them wrong leaves expensive GPUs idle.
Our approach
We plan and deliver the full AI data center: power and cooling assessment, GPU compute, high-performance storage, low-latency networking and the software stack, ready for your first training job.
- 1Readiness assessmentPower, cooling, floor space and rack density checked against your GPU plan.
- 2Reference architectureCompute, fabric and storage designed together, with a full bill of materials.
- 3Build and burn-inRacking, cabling, firmware and stress tests on every node before handover.
- 4Stack and handoverKubernetes or Slurm, monitoring and runbooks, then 24×7 operations.
What you get
- Site readiness report
- Validated reference architecture
- Burn-in and performance test results
- Operational runbooks and 24×7 support
GPU Infrastructure
For: AI, ML and HPC teams that need GPU capacity
GPU clusters are costly, and without the right drivers, schedulers and monitoring, utilization drops and teams queue for capacity.
Our approach
Build, expand or take over GPU clusters for training and inference. We handle the drivers, schedulers, monitoring and utilization reporting so your data scientists stay focused on models.
- 1Capacity planningSize the cluster from your models, datasets and team demand.
- 2Cluster buildNVIDIA HGX or DGX nodes with InfiniBand or RoCE fabrics.
- 3Scheduling and sharingSlurm, Kubernetes and GPU sharing so capacity is fairly allocated.
- 4Utilization reportingGPU health and usage dashboards with monthly reviews.
What you get
- Cluster design and bill of materials
- Configured schedulers and GPU Operator
- GPU monitoring dashboards
- Monthly utilization reports
Storage Modernization
For: Teams on ageing or slow storage platforms
Legacy arrays reach end of support, slow down critical workloads and make every upgrade risky. Migrating off them without downtime needs careful planning.
Our approach
Move from legacy arrays to modern NetApp ONTAP or WEKA platforms. We size, migrate and protect your data without disruption and add tiering to cloud where it saves money.
- 1Data discoveryMap volumes, shares, performance and growth across your estate.
- 2Platform sizingRight-size NetApp or WEKA for today and three years of growth.
- 3Non-disruptive migrationReplicate, validate and cut over in planned windows.
- 4Protect and tierSnapshots, replication, DR and tiering to object or cloud.
What you get
- Storage assessment and sizing report
- Migration plan with rollback
- Data validation reports after cut-over
- DR and tiering policies
Cloud Migration
For: Organisations moving workloads to AWS or Azure
Moving to the cloud without a plan leads to security gaps, surprise bills and applications that run worse than before.
Our approach
Assess, plan and migrate applications in waves. We build a secure landing zone first, move workloads with minimal downtime, then optimize cost after cut-over.
- 1Portfolio assessmentGroup applications by complexity, dependencies and business priority.
- 2Landing zoneAccounts, networking, identity and guardrails built with Terraform.
- 3Wave migrationsPlanned cut-overs with testing and rollback for each wave.
- 4OptimizeRightsizing, reserved capacity and monthly cost reports.
What you get
- Migration assessment and wave plan
- Landing zone as code
- Cut-over runbooks per wave
- Monthly FinOps reports
Data Center Modernization
For: IT teams running end-of-life hardware
End-of-life servers, switches and arrays raise risk, power bills and support costs, and they block new workloads.
Our approach
Refresh compute, network and storage together. We replace end-of-life equipment, consolidate with virtualization and hyper-converged platforms, and automate what remains.
- 1End-of-life auditInventory every device with support dates and risk.
- 2Consolidation designVirtualization and hyper-converged platforms that reduce rack count.
- 3Phased refreshReplace compute, network and storage in planned windows.
- 4AutomateStandard builds and configuration with Ansible and Terraform.
What you get
- End-of-life and risk report
- Target design and refresh roadmap
- Migration and cut-over plans
- As-built documentation
Infrastructure Operations
For: Businesses that need their platforms run reliably every day
Internal teams are stretched between keeping systems running and delivering new projects. Out-of-hours coverage and consistent patching often slip.
Our approach
Hand over day-to-day operations to our NOC. We monitor, patch, respond to incidents and report monthly on performance, capacity and risk.
- 1OnboardingConnect monitoring, document runbooks and agree the SLA.
- 224×7 monitoringAlerts triaged by engineers around the clock.
- 3Incidents and changesResolution, root-cause analysis and planned patching.
- 4Monthly reviewService, capacity and risk reports with clear actions.
What you get
- Signed SLA and escalation matrix
- Runbooks for every platform
- Monthly service reports
- Quarterly optimization reviews
Tell us the outcome you need. We'll build the plan around it.
Book a 30-minute call with an engineer. You'll get a written assessment within a week.