
AI & HPC Infrastructure
GPU, storage and fabric designed together, from a first pilot to a production cluster.
When this becomes relevant
GenAI or vision pilot moving to production. GPU servers starved by storage or network.
Validated GPU server platforms
Parallel / NFS-over-RDMA data pipelines
Lossless leaf-spine fabric for GPU pods
Scheduling and AI software stack integration
Technologies we implement
We select the platform against your requirement, existing estate and support model — not the other way round.
- NVIDIA
- HGX/OVX reference designs
- AI Enterprise
- PowerEdge GPU servers

- GPU platforms
- Neptune liquid cooling

- Cray
- GreenLake for AI
- NetApp
- AI validated designs
- IBM
- Storage Scale
Names and trademarks belong to their owners.
What you receive
Workload sizing
Reference architecture
Rack power & cooling plan
Benchmark/acceptance plan
Handover runbook
What we offer
01
Design & architecture
- Sizing
- High-level and low-level design
- Bill of materials
02
Implementation & migration
- Installation and configuration to the approved design
- Migration waves and cutover
- Tested rollback
03
Verification & handover
- Test plans, results and sign-off
- As-built documentation and runbooks
- Knowledge transfer
- Validated GPU server platforms
- Parallel / NFS-over-RDMA data pipelines
- Lossless leaf-spine fabric for GPU pods
- Scheduling and AI software stack integration
- Liquid-cooling readiness with power and cooling partners

Capabilities in detail
Validated GPU server platforms
- What
- Validated GPU server platforms
- How
- Designed with your team, implemented in approved change windows and verified against the agreed scope before handover.
- You receive
- Workload sizing
Parallel / NFS-over-RDMA data pipelines
- What
- Parallel / NFS-over-RDMA data pipelines
- How
- Designed with your team, implemented in approved change windows and verified against the agreed scope before handover.
- You receive
- Reference architecture
Lossless leaf-spine fabric for GPU pods
- What
- Lossless leaf-spine fabric for GPU pods
- How
- Designed with your team, implemented in approved change windows and verified against the agreed scope before handover.
- You receive
- Rack power & cooling plan
Scheduling and AI software stack integration
- What
- Scheduling and AI software stack integration
- How
- Designed with your team, implemented in approved change windows and verified against the agreed scope before handover.
- You receive
- Benchmark/acceptance plan
Liquid-cooling readiness with power and cooling partners
- What
- Liquid-cooling readiness with power and cooling partners
- How
- Designed with your team, implemented in approved change windows and verified against the agreed scope before handover.
- You receive
- Handover runbook
Discuss your requirement
Prefer to talk? Call +966591909277
