Aviato Consulting

1,000-Core HPC Supercomputer on Demand

How Aviato engineered an elastic 1,000-core High-Performance Computing (HPC) cluster on Google Cloud for a global industrial engineering leader.

High-Performance Computing (HPC) Case Study

1,000-Core Elastic Supercomputer on Google Cloud

In computational fluid dynamics (CFD) and finite element analysis (FEA), compute elasticity is the difference between engineers waiting an entire week for simulation results or reviewing them before afternoon coffee. Aviato replaced physical hardware limits with an on-demand Slurm supercomputer on Google Cloud.

1,000+

On-Demand Cores

10x

Faster Simulation Turnaround

$0

Idle Compute Cost (Scale to 0)

0 Days

Queue Bottlenecks

Industry

Industrial Manufacturing & Simulation

Core Workload

Siemens STAR-CCM+, ANSYS Fluent & Custom FEA Solvers

Architecture

Slurm Workload Manager, Google Cloud HPC Toolkit, C3 Intel Xeon Sapphire Rapids instances, Filestore high-throughput parallel storage

The Transformation Journey

Engineers were constrained by on-premise compute clusters running at 100% saturation, creating days of queue lag for mission-critical client deliverables. Aviato deployed an automated Slurm HPC cluster leveraging Google Cloud's HPC Toolkit. Compute nodes autoscale from zero to 1,000+ cores on job submission and immediately tear down upon simulation completion—eliminating data center maintenance and idle infrastructure waste.

Need Elastic High-Performance Compute?

Learn how Google Cloud HPC and automated workload clustering can accelerate your engineering calculations while cutting compute costs.

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