HPC · AASHU capability

HPC Infrastructure

Scheduling, storage, and fabric working as one system — with the deep diagnostics HPC demands when they don't.

SlurmMPILustreSpectrum Scale (GPFS)WEKANetApp / OneFSInfiniBand / RoCE
High-density compute racks in a data center
What we engineer

Every hard infrastructure problem, concentrated.

HPC concentrates shared state, parallel I/O, latency-sensitive networking, and multi-team access into one environment. AASHU's practice was built in exactly these environments: enterprise storage under load and clusters researchers trust.

Key capabilities

What this capability covers.

Focused engineering with clear technical outcomes, documented implementation, and a path for the operating team to own the result.

01

Cluster design & deployment

Head nodes, compute fleets, and shared environments from provisioning to first job.

02

Slurm workload management

Partitions, QOS, fairshare, and accounting that keep queues fair and utilization high.

03

Parallel & enterprise storage

Lustre, IBM Spectrum Scale (GPFS), and WEKA for parallel I/O, plus NetApp and Dell PowerScale/OneFS integration for enterprise data services.

04

High-speed fabrics

InfiniBand and RoCE bring-up, subnet management, and fabric diagnostics.

05

MPI & user environments

MPI stacks, environment modules, scientific software, and multi-team access patterns that stay maintainable.

06

Health & diagnostics

Node health checks, fabric monitoring, and evidence-driven root-cause analysis under load.

Deliverables

What you receive.

Operational cluster from provisioning through scheduling
Slurm configuration with documented policy
Parallel storage architecture, integration plan, and performance baseline
Fabric bring-up records and diagnostic runbooks
MPI, user environment, and software-stack documentation
Health-check framework with alerting
Engineering approach

From environment understanding to operational ownership.

Every engagement is scoped to the actual environment. The implementation changes by capability, but the operating discipline remains consistent.

01

Assess the environment

Map the current state, dependencies, constraints, risk, and operational ownership before making changes.

02

Engineer the implementation

Build the technical path with repeatable configuration, validation, and rollback appropriate to the scope.

03

Leave an operating model

Document the baseline, runbooks, lifecycle tasks, and handoff so the capability remains supportable.

Related capabilities

Ready to scope this work?

Tell us the environment, requirement, constraints, and timeline.

Talk to AASHU