CASE STUDY
Private Infrastructure Strategy for Cost-Efficient HPC Delivery
Demonstrated a pathway to significantly reduce operational costs and improve pricing competitiveness through private infrastructure deployment.
Situation
The client’s platform relied entirely on public cloud infrastructure to deliver simulation workloads, resulting in high operational costs.
Solution
Designed a transition strategy to a privately managed infrastructure model emphasizing long-term cost efficiency, performance control, and scalability.
OUTCOMES
Reduced vendor dependency
across cloud execution pathways
55% cost reduction
simulation compute workloads
35% utilization increase
dedicated compute clusters
Challenges
Costs
- •High cloud costs
Control
- •Limited infrastructure control
Optimization
- •Weak cost-performance tuning
Solutions
01
Data Center Architecture
Architecture for dedicated data center deployment optimized for simulation workloads.
- Designed infrastructure tailored for simulation performance
- Optimized hardware placement for efficiency
- Enabled long-term infrastructure ownership
02
Cloud Resource Control
Private cloud environment enabling controlled resource allocation.
- Enabled deterministic workload placement
- Reduced dependency on external providers
03
Comparative Cost Modeling
Cost modeling comparing public cloud versus owned infrastructure.
- Evaluated long-term infrastructure economics
- Supported strategic infrastructure decisions
04
Migration Execution Strategy
Migration strategy for transitioning workloads without disrupting service.
- Planned staged workload transitions
- Maintained service continuity during migration
- Reduced operational disruption risk