Slurm, gang scheduling, MPI, optimized topology

Intensive computing without queues or opaque billing

Your simulations deserve better than a saturated shared supercomputer or an unpredictable cloud bill. A dedicated HPC cluster puts the power where your teams are, with scheduling you control.

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Use cases

Numerical simulation: CFD, finite elements, molecular dynamics
Research: genomics, computational chemistry, climate
Engineering: virtual crash tests, optimization, rendering
Massive batch: financial risk, Monte-Carlo, logistics optimization

Reference architecture

Scheduling: Slurm with gang scheduling, partitions, QOS and fair-share: multi-node jobs start together, as close to the fabric as possible.
Interconnect: InfiniBand or RoCEv2 with topology-aware placement for MPI and NCCL collectives.
Storage: Parallel scratch (Lustre, BeeGFS) for intensive I/O, tiering to capacity storage.
Environments: Modules, Apptainer / Enroot containers and reproducible images for every research team.

What you receive

01
Configured Slurm cluster: partitions, QOS, compute-hour accounting
02
Fabric validated with MPI and NCCL benchmarks
03
Operational scratch and capacity storage
04
User documentation and admin training

FAQ

Slurm or Kubernetes for HPC?: Slurm remains the reference for gang-scheduled multi-node jobs and fine-grained compute-hour accounting. Kubernetes excels at long-running services and inference. Both coexist very well: that is often our recommendation.
Can you migrate an existing cluster?: Yes: audit of the existing setup, staged migration plan and cutover without interrupting running compute campaigns.

Request a technical audit

Reference architecture

Scheduling: Slurm with gang scheduling, partitions, QOS and fair-share: multi-node jobs start together, as close to the fabric as possible.
Interconnect: InfiniBand or RoCEv2 with topology-aware placement for MPI and NCCL collectives.
Storage: Parallel scratch (Lustre, BeeGFS) for intensive I/O, tiering to capacity storage.
Environments: Modules, Apptainer / Enroot containers and reproducible images for every research team.

FAQ

Slurm or Kubernetes for HPC?

Slurm remains the reference for gang-scheduled multi-node jobs and fine-grained compute-hour accounting. Kubernetes excels at long-running services and inference. Both coexist very well: that is often our recommendation.

Can you migrate an existing cluster?

Yes: audit of the existing setup, staged migration plan and cutover without interrupting running compute campaigns.