Engineering & Simulation
Engineering teams are moving CFD, FEA, rendering and digital-twin workloads onto GPUs — often alongside existing CPU HPC. Peregrine helps size, build and operate GPU infrastructure that fits those hybrid environments.
Infrastructure can be designed to support customer security, governance and compliance requirements. Use one service or all four.
Part 1 · Use cases
Use case 01
GPU-native solvers for fluid and structural analysis turn overnight runs into same-day iterations.
GPU nodes can join existing Slurm clusters so engineers submit jobs the way they do today.
GPU considerations
Use case 02
Real-time models of assets and processes combine simulation, sensor data and visualisation.
PCIe platforms with large memory suit twin rendering and inference.
GPU considerations
Use case 03
Design visualisation and media rendering are bursty and parallel.
On-demand capacity absorbs render peaks without idle hardware.
GPU considerations
Use case 04
Parameter sweeps and ML surrogates trained to approximate simulations compress design-of-experiments cycles.
Quotas keep batch work from crowding out interactive engineering.
GPU considerations
Part 2 · How to deploy with Peregrine
Assess which solvers benefit from GPUs, size memory and interconnect, and compare adding GPU nodes to existing HPC against Peregrine capacity.
Learn moreDesign and commission GPU nodes that integrate with your scheduler, storage and licensing, on premises or in an Australian data centre.
Learn moreOperate GPU partitions, scheduling, monitoring and upgrades alongside your HPC team.
Learn moreReserved or on-demand Australian-hosted GPUs for simulation peaks and rendering bursts, subject to availability.
Learn moreRecommended platforms
Indicative only; the Compute Blueprint confirms platform, interconnect and scale per project.
Blackwell · PCIe
Cost-effective per-GPU memory for inference fleets, vision, rendering and digital twins.
View platform
Hopper
Mature ecosystem with larger memory for inference of large models and training.
View platform
Blackwell
Balanced Blackwell platform for training and production inference.
View platformInfrastructure models: capital vs operating
Engineering firms often extend owned HPC with GPU nodes (capital) and use reserved or on-demand capacity (operating) for design-cycle peaks. Peregrine scopes both per engagement; no prices are published on this site.
FAQ
Tell us about your engineering & simulation workloads and deployment preferences. A compute specialist will discuss the appropriate infrastructure model.
