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Telswitch Case Study Thumb illustration related to Faster Insights, Greater Scale: TelSwitch Powers Legal Analytics with SupremeRAID
Case Study
July 31, 2025

Faster Insights, Greater Scale: TelSwitch Powers Legal Analytics with SupremeRAID™

How GPU‑accelerated storage transformed TelSwitch’s legal data platform in under six months.

When TelSwitch, a leading legal analytics firm, needed to process massive case files and complex legal datasets faster—and more reliably—they turned to GPU‑accelerated RAID. By deploying Graid Technology’s SupremeRAID™ across key infrastructure, TelSwitch eliminated CPU bottlenecks, achieved sustained throughput gains, and accelerated legal analytics workflows at enterprise scale.

🚀 Speed. Reliability. Scalability.

  • Up to 28M IOPS with high drive bandwidth and GPU offload, dramatically faster than traditional software or hardware RAID
  • Frees CPU cycles for analytics workloads by shifting parity calculations to the GPU—boosting efficiency and reducing resource contention
  • Maintains RAID‑6 protection across large NVMe drive arrays with minimal performance impact—even during rebuilds

What This Means for Legal Analytics Teams
TelSwitch now processes terabyte‑scale legal document repositories multiple times faster, with faster rebuilds, lower latency, and consistent SLA fulfillment. Their analytics environment handles growing volume and complexity without adding compute overhead.

👥 Who Benefits
Teams working on e‑discovery, contract analytics, litigation forecasting, or AI‑augmented case review who need:

  • Ultra‑high throughput on NVMe arrays
  • Reliable RAID protection without CPU slowdowns
  • Scalable performance for future datasets

📘 Download the Full Case Study
Learn how TelSwitch boosted performance, reliability, and efficiency with SupremeRAID. Download the full case study now to explore architecture, benchmarks, deployment details, and outcomes.

Learn More

News & Resources

"You've got a four-lane highway, and to get to your storage, you have to go down to a one-lane bridge." Garrett McKibben joins Solidigm on TechArena's Data Insights podcast to unpack why KV cache overflow is choking AI inference.
Graid Technology CEO Leander Yu and VP of Product Development Alven Yen explain how moving RAID processing onto the GPU breaks the bottleneck traditional controllers cannot solve, delivering 36 million GPU-initiated IOPS for AI infrastructure.
Join Graid Technology at Dell Technologies Forum Taipei 2026 and discover how SupremeRAID™ AE transforms local NVMe storage into a high-performance, scalable, and protected extended KV cache—reducing redundant computation and accelerating time to first token (TTFT).