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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
  • Dell Technologies
    • PowerEdge GPU servers
  • Lenovo
    • GPU platforms
    • Neptune liquid cooling
  • HPE
    • Cray
    • GreenLake for AI
  • NetApp
    • AI validated designs
  • IBM
    • Storage Scale

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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
A dense GPU server rack with liquid-cooling pipes

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

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