Storage Architecture Review & Design
NFS, parallel file systems, tiering, and performance engineering
INDICATIVE
₹1,50,000 – ₹2,75,000
Design data storage is the most common hidden bottleneck in semiconductor environments. Metadata-heavy EDA workloads behave differently from typical enterprise storage patterns, and architectures that work elsewhere frequently underperform here.
DURATION
3–4 Weeks
IDEAL FOR
Teams seeing simulation slowdown, NFS latency, or capacity pressure
WHY THIS MATTERS TO A SEMICONDUCTOR TEAM
EDA storage is latency- and metadata-sensitive. Generic storage benchmarks can look healthy while real engineering workloads struggle. Understanding workload behaviour alongside the storage architecture is therefore critical to identifying the real bottlenecks.
SCOPE
- Current storage topology and protocol review
- Metadata performance profiling
- Latency analysis under representative workloads
- Tiering strategy and data lifecycle assessment
- Export configuration and access pattern review
- Backup integration and recovery path validation
DELIVERABLES
- Storage performance baseline report
- Bottleneck analysis with measured evidence
- Target architecture design
- Tiering and lifecycle policy recommendations
- Capacity forecast and procurement guidance
Ready to optimise your storage environment?
Let's discuss your storage architecture, EDA workloads, performance challenges, and capacity requirements.
Discuss Your Requirements