Case Study: University Research Lab Uses Hostxpeed for Climate Modeling

Introduction

Climate modeling requires massive compute and memory. The University of Coastal Studies used a local cluster that was often overloaded. This case study covers their migration to Hostxpeed high‑RAM VPS.

The Challenge

Simulations of sea‑level rise required 128GB RAM and 16 cores. Their shared university cluster had 2‑week queue times. Urgent research was delayed.

Hostxpeed Solution

Hostxpeed custom VPS: 24 vCPU (AMD EPYC), 256GB RAM, 2TB NVMe, $399/month. No queue, dedicated resources. Used for 32 climate models simultaneously.

Performance Results

Previous cluster (Xeon E5) ran a simulation in 18 days. Hostxpeed EPYC completed same simulation in 6.3 days (65% faster). The boost came from faster memory bandwidth and NVMe scratch storage.

Cost Comparison

University pays $399/month vs internal cluster opportunity cost estimated at $2,500/month (power + maintenance). Research output increased 3x.

Additional Use Cases

Lab uses Hostxpeed object storage for data sets (1.2PB). Summer interns access via JupyterHub (deployed on separate VPS).

Conclusion

Hostxpeed filled the gap between cloud HPC providers (expensive) and on‑prem (slow queue). The lab now runs simulations on demand.