Run AI, Not Clusters: A Frictionless Migration from AWS ParallelCluster to AWS PCS

Table of Contents
Author
Name
Position

Over the last few years, many organizations have adopted AWS ParallelCluster to bring HPC workloads to the cloud. It provided flexibility, Slurm-based scheduling, and infrastructure control.

But as HPC usage matures—especially with AI, simulation, and large-scale analytics—organizations are hitting a common wall:

They don’t want to manage HPC infrastructure anymore.

This is where AWS Parallel Computing Service (PCS) comes in—offering a fully managed HPC control plane and eliminating the need to operate Slurm, scheduler HA, and cluster lifecycle manually.

The Business Problem: Hidden Complexity Behind HPC

While ParallelCluster works well initially, enterprise teams face growing friction over time:

1. Operational Overhead

  • Managing Slurm controllers, scaling, and failures
  • Debugging cluster behavior and job scheduling issues
  • Dependency on a few HPC admins

2. Lack of Governance

  • Difficulty enforcing cost controls and queue policies
  • Limited visibility across users and workloads

3. Inconsistent User Experience

  • Queue unpredictability
  • Performance variability
  • Manual intervention for scaling or failures

4. Growing Technical Debt

  • Custom scripts, prolog/epilog hacks
  • Undocumented cluster behavior
  • Hard-to-upgrade environments

Why AWS PCS is the Right Evolution

PCS represents a fundamental shift:

Capability ParallelCluster AWS PCS
Slurm management Self-managed Fully managed
High availability Manual Built-in
Scaling Config-driven Service-managed
Governance Limited Enterprise-ready
Operations DIY AWS-managed

See how AWS PCS is enabling self-service HPC and streamlined research workflows through our Research Gateway platform.

See it in action →

What This Means for Customers

  • No more managing the Slurm control plane
  • Reduced operational cost and risk
  • Predictable, scalable HPC experience
  • Platform ready for AI, GPU, and future workloads

The Real Challenge: Migration Isn’t Just Lift-and-Shift

Despite the benefits, migrating to PCS is not trivial.

Organizations often underestimate:

  • Slurm customization dependencies
  • Identity and access model differences
  • Storage and data permission complexities
  • Job script assumptions tied to cluster setup

PCS is not ParallelCluster v2—it is a different operating model.

Relevance Lab’s Solution: Frictionless Migration Framework

1. AI-Powered Discovery & Assessment

We start with an automated discovery framework that scans your existing environment:

  • Slurm configurations and partitions
  • Job script patterns and dependencies
  • User, IAM, and access models
  • Storage and data usage patterns

Output:

  • Migration complexity score (Small / Medium / Large)
  • Risk heatmap
  • “What will break in PCS” insights

2. Pre-Built PCS Landing Zone

Instead of building from scratch, we use a pre-engineered PCS framework:

  • Standard queue design (CPU / GPU / priority tiers)
  • Integrated identity and access patterns
  • Storage and mount standardization
  • Monitoring and observability built-in

Result:

  • Faster deployment
  • Reduced design errors
  • Enterprise-ready from Day 1

3. Job Script Compatibility Layer

“Do we need to rewrite our jobs?”

Answer: No.

  • 90–95% of Slurm job scripts work as-is
  • We map partitions → PCS queues
  • Normalize scripts to remove cluster-specific assumptions
  • Provide ready-to-use job templates

Outcome:

  • Minimal user disruption
  • Faster adoption

4. Parallel Run & Controlled Cutover

We ensure a zero-risk transition:

  • Run ParallelCluster and PCS side-by-side
  • Validate real workloads
  • Compare performance and outputs
  • Execute phased cutover

No surprises in production

5. Optimization & Governance

Migration is just the beginning.

We help customers:

  • Optimize queue configurations
  • Improve cost efficiency
  • Implement governance and chargeback
  • Enable self-service HPC

Business Benefits of the Migration

Cost Savings

  • 30–60% reduction in operational overhead
  • Improved compute utilization

Operational Efficiency

  • Eliminate Slurm management
  • Reduce support tickets and failures

Faster Time-to-Results

  • Predictable scheduling
  • Faster job turnaround

Enterprise Readiness

  • Built-in governance and controls
  • Scalable multi-tenant HPC

Definition of Success

A successful migration is not just technical—it’s operational and business-driven:

  • Jobs run without modification
  • Users experience no disruption
  • No need to manage Slurm manually
  • ParallelCluster can be safely decommissioned
  • Platform is ready for future AI and HPC workloads

Why Relevance Lab?

  • Deep expertise in AWS HPC and cloud platforms
  • Proven migration methodology
  • Automation-first approach
  • Pre-built frameworks to accelerate delivery

We don’t just migrate clusters—we modernize HPC platforms.

Final Thought

As organizations scale AI and HPC workloads, the question is no longer:

“Can we manage HPC ourselves?”

It becomes:

“Why should we?”

With AWS PCS and Relevance Lab’s Frictionless Migration Framework, you can move from DIY infrastructure to a fully managed HPC platform—faster, safer, and with measurable ROI.

NEXT STEPS

Ready to modernize your HPC environment?

Start with a free discovery assessment and understand your migration path to AWS PCS.

Book a free discovery assessment