Overview
This engagement delivers a mid-scale Azure HPC foundation designed for moderate workloads, combining CycleCloud, Slurm, AKS, and balanced storage for practical performance validation.
What You Will Gain
- Mid-Scale HPC Experience: Understand the potential of Azure HPC for moderate workloads.
- Flexible Workload Management: Containerized workloads via AKS and Slurm job scheduling.
- Cost-Effective Scalability: Balanced compute and mid-tier storage with Azure Premium SSD or NetApp Files.
- Optimized Performance: Insights from testing moderate HPC workloads and performance metrics.
What Is Included
Scope includes deployment, workload testing, and production-readiness guidance for mid-scale HPC use cases.
- Customized CycleCloud deployment with mid-tier compute resources.
- Slurm integration for job scheduling.
- AKS configuration for containerized workloads.
- Mid-tier storage setup using Azure Premium SSD or NetApp Files.
- Testing and analysis of moderate HPC workloads.
- Detailed report on performance, scalability, and production readiness.

Engagement Timeline
- Assessment: Identify core performance requirements for moderate workloads
- Design: Architect balanced HPC environment with compute, storage, and container support
- Deployment: Configure CycleCloud, Slurm, AKS, and mid-tier storage
- Testing: Execute moderate HPC workloads and analyze scalability
- Review & Reporting: Deliver findings, recommendations, and next steps
- Overall Duration: 8 Weeks + 2 Weeks Optimization Support
Who This Offer Is For
- Organizations with moderate computational demands.
- Teams seeking containerized workloads and mid-tier storage solutions.
- Enterprises looking for reliable, cost-effective HPC performance without MAX-level complexity.
Prerequisites
- Access to existing HPC infrastructure documentation and stakeholders.
- Defined moderate-scale workloads for testing.
- Understanding that job execution volume will be limited during the PoC.
- Agreement to evaluate production deployment or decommissioning at conclusion.


