HPC Architecture & Infrastructure
Engineering the Compute Continuum — From Local Cluster to Global Cloud
The Hybrid HPC Challenge
Designing HPC infrastructure in 2026 means treating local clusters and cloud resources as a single, seamless compute fabric. The goal is not choosing between on-premises and cloud — it is designing an architecture where both work together transparently, with workloads flowing to wherever resources are most efficient and cost-effective.
A well-designed hybrid HPC architecture delivers three things simultaneously: predictable baseline performance from on-premises hardware, elastic capacity from cloud bursting during peaks, and unified management through a single scheduler and namespace.
The Three-Tier Hybrid Architecture
Tier 1: Local Core Cluster
Components: Bare-metal compute nodes, InfiniBand NDR/HDR fabric, Lustre parallel filesystem, on-premises GPUs.
Handles steady-state baseline workloads at maximum performance and lowest cost per FLOP. Essential for tightly-coupled MPI jobs that cannot tolerate WAN latency.
Tier 2: Hybrid Bridge Layer
Components: SLURM burst plugins, data-cache proxies, VPN/Direct Connect, identity federation (LDAP/AD).
Transparent bridge between on-premises and cloud. Users submit jobs without knowing where they run — the scheduler decides based on availability and policy.
Tier 3: Cloud Burst Layer
Components: AWS ParallelCluster / Azure CycleCloud, spot/preemptible instances, cloud-native parallel storage (FSx for Lustre).
Ephemeral compute for peaks and seasonal demand. Pay-as-you-scale OPEX model — zero idle cost when the burst is over.
Unified Job Scheduling
SLURM with cloud burst plugins manages both on-premises and cloud nodes from a single control plane. Users submit jobs normally — the scheduler transparently provisions cloud instances when local capacity is exhausted, then terminates them after job completion. No workflow changes required for researchers.
Unified Storage Namespace
Data must be accessible from both on-premises nodes and cloud instances. Solutions include AWS FSx for Lustre (mirrors on-premises Lustre to cloud), Azure Managed Lustre, or pre-staged datasets in S3/Blob storage. A unified namespace means researchers access data identically regardless of where computation runs.
Capacity Planning Framework
| Utilization | Strategy | Cost Profile |
|---|---|---|
| >70% sustained | On-premises optimal; cloud for extreme peaks only | Lowest cost/FLOP at scale |
| 30–70% | Hybrid: on-premises baseline + cloud burst | Balanced CAPEX/OPEX |
| <30% | Cloud-first with reserved instances for base load | Lowest idle cost |
Software-Defined Infrastructure
Terraform
Defines cloud HPC resources as code — compute, network, storage, security groups. Provider-agnostic across AWS, Azure, and GCP.
Ansible
Agentless configuration management. Ensures every node — on-premises and cloud — is in an identical, known state.
GitOps
All infrastructure changes flow through Git — full audit history, easy rollback, and no configuration drift across the fleet.
Identity Federation
LDAP/AD synchronized across on-premises and cloud. Users have the same accounts and permissions everywhere.
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Contact the ExpertRelated Resources
InfiniBand Guide · SLURM Scheduler · Lustre Filesystem · Cloud Integration Overview · HPC Lexicon