Solutions
In-memory risk analytics — without scarce DRAM
Risk scoring, backtesting and real-time analytics keep huge datasets in memory. gigaRAM grows the in-memory grid by 2–4×, accelerating calculations without expensive DRAM purchases.
2–4×
Data held in memory
−50%
Infrastructure cost
0
Downtime on rollout
Workloads
Where gigaRAM lifts the ceiling
Risk modeling
Monte Carlo and VaR on large portfolios entirely in memory.
Real-time analytics
An in-memory data grid with an expanded working set.
Backtesting
Long historical windows without hitting disk.
Let's talk
We'll show how gigaRAM delivers 2–4× more memory at half the cost — with no infrastructure swap. Let's discuss your workload and run a pilot.