UltraCompute HPC Readiness & AWS Workload Assessment Servic

Design HPC Services That Work in Production — From Day One

High-performance computing on AWS delivers transformative scale and flexibility, but only when compute, storage, scheduling, security, and operations are designed together from the outset. Organisations that approach HPC deployment without a structured, workload-aligned design frequently encounter performance bottlenecks, operational complexity, and costly redesign cycles during or after deployment.The Server Labs HPC Readiness & Workload Assessment for AWS eliminates this risk. This professional services engagement delivers a structured, architecture-led assessment that builds a precise understanding of workload behaviour, data gravity, and organisational constraints — then produces a designed HPC service model ready for direct implementation on AWS.

What This Service Covers

This assessment examines how HPC workloads execute at scale across every critical dimension of platform design:Workload execution patterns — batch, parallel, tightly coupled, and GPU-accelerated jobs are profiled to understand compute demands, scaling behaviour, and scheduling requirements.

Compute architecture design — CPU and GPU selection, memory profiles, node topology, and auto-scaling behaviour are designed to match real execution patterns rather than theoretical peak loads.

Storage and IO architecture — shared file systems, scratch storage, throughput profiles, and latency sensitivity are assessed and designed to eliminate IO as a performance constraint.

Scheduler and queue design — job prioritisation, fairness policies, and utilisation efficiency are designed to maximise throughput and minimise idle compute cost.

Data gravity and movement — data flows between compute clusters, object storage, and upstream systems are mapped to inform placement, replication, and transfer architecture.

Security and tenancy models — workload isolation, identity boundaries, and encryption requirements are addressed, including support for regulated and defence-grade security contexts.

Operational service design — monitoring, performance tuning, cost visibility, and day-two operations are designed as first-class considerations, not afterthoughts.

Key Deliverables

• HPC workload and execution profile
• Designed HPC service model for AWS
• Recommended UltraCompute or bespoke HPC architecture
• Compute, storage, and scheduler design guidance
• Security and tenancy architecture considerations
• Deployment and operational readiness summary

Who This Service Is For

This engagement is designed for organisations designing or evolving HPC platforms on AWS, including life sciences and genomics organisations running large-scale computational pipelines; research and engineering teams executing sustained parallel and tightly coupled workloads; space, climate, and physics modelling environments; defence and regulated research programmes with strict security and isolation requirements; and enterprises modernising legacy or on-premises HPC estates for cloud-native delivery. It is particularly valuable where multiple workload types must coexist on a shared HPC platform.

Delivery Approach

The engagement is led by senior HPC and cloud architects. Work begins with detailed workload discovery to understand execution behaviour, data dependencies, and operational expectations. Architectural analysis follows, grounded in AWS-native HPC capabilities and real-world HPC delivery experience. Where relevant, UltraCompute, AWS ParallelCluster, and AWS Parallel Compute Service are evaluated to ensure the recommended architecture reflects both technical requirements and operational reality. Findings are consolidated into a clear, implementable HPC service design that avoids redesign or reinterpretation during deployment.