gigaRAM
Case Studies

gigaRAM deployment results

How companies get 2–4× more memory and cut infrastructure cost in half — without replacing hardware.

Enterprise infrastructure

Consolidating in-memory databases

Challenge. The server fleet hit a DRAM ceiling as the in-memory database's working set kept growing.

Result. Memory expanded 3× — workloads consolidated onto fewer nodes, with cost per gigabyte cut in half.

Memory per node
−50%
Cost per GB
EDA / Chip design

Memory-bound verification runs

Challenge. Large simulations crashed with OOM errors and piled up in queues for lack of memory.

Result. Job size per node grew 2–4×, clearing engineering queues without buying new DRAM.

2–4×
Jobs per node
<5 min
Deployment
Financial analytics

Risk calculations fully in memory

Challenge. Monte Carlo runs on large portfolios no longer fit in RAM.

Result. The in-memory grid expanded several-fold — calculations run without touching disk, at half the infrastructure cost.

Data in memory
0
Downtime at rollout

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.

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