When your project’s compute load increases, use as many CPU cores as you need and pay only for the time you use.
Use Cases
- Periodic large simulation runs
- Academic research projects
- Engineering computations (CFD, FEA, MD)
- Seasonal traffic spikes and overflow capacity
Key Features
Elastic Core Scaling
Scale from a handful of cores to thousands of CPU cores on demand, paying only for the core-hours your jobs actually consume. No idle hardware, no upfront investment.
Burst Capacity
Absorb periodic large simulation runs, academic research campaigns and seasonal traffic spikes without provisioning permanent infrastructure that sits unused between workloads.
Production Software Stack
Pre-installed CFD, FEA and molecular dynamics tools with MPI, tuned math libraries and a SLURM scheduler, so you can submit jobs and get results immediately.
Transparent Usage Billing
Detailed per-job accounting of CPU time, memory and queued hours gives you clear, auditable invoices and makes cost forecasting and project budgeting straightforward.
Frequently Asked Questions
You are billed only for the CPU core-hours your compute jobs actually consume, measured from job start to completion on the shared cluster. A detailed usage report accompanies every invoice, so you can trace costs back to individual jobs and projects.
The environment supports a wide range of HPC workloads including CFD, finite element analysis, molecular dynamics and other scientific and engineering applications. Common software and toolchains are pre-installed, and you can also bring your own binaries and containers.
No. The model is purely pay-as-you-go with no subscription or minimum usage commitment. This makes it an ideal starting point for academic projects, pilot studies or occasional overflow capacity, and you can scale usage up or down at any time.
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