High-Performance
Shared Block Storage

Up to 3x More Capacity at Lower $/TB

Organizations look to keep up with surging data storage requirements with high-capacity SSDs but are challenged with blast radius concerns. Current data protection methods like RAID 10 use excessive redundancy in array mirroring, wasting significant SSD capacity, and RAID 5/6 schemes penalize storage performance. With all existing technologies, including erasure coding and replication, drive failures disrupt performance and long rebuild times violate SLAs. See how Pliops XDP enables
high-performance software-defined storage solutions to address density
and reliability requirements.

Increase
Storage Density

Dramatically increase effective storage density using QLC SSDs

Drive Fail
Protection

Eliminate server downtime with full performance RAID 5+ protection

Enhanced SSD
Endurance

Extend QLC SSD endurance life cycle by significantly reducing IO amplification

Significantly
Lower $/TB

Increase effective storage capacity while lowering overall cost/TB

Pliops XDP At Work

Case Study: Top 5 CSP Storage Service XDP Benefits

Customer Benefits

3x
Increase effective storage capacity

FTT n+’1’
Isolate drive failures from cluster
performance impact (FTT n+’1’)

40%↓
Reduced TCO*

1.5x
Improved endurance using
QLC vs. SW TLC

Reduce carbon
footprint considerably

Current Software Based Solution vs. Accelerated, High-Capacity Solution with Pliops

Current Software Based Solution
vs.
Accelerated, High-Capacity Solution with Pliops

10+2 Servers

with 2 Erasure Coding

1.5PB

Usable Capacity

>1500

Rebuilds/Year

10+2 Servers​

with 2 Erasure Coding​

4.3PB

Usable Capacity

0 SSD-Related

Failures/Year

Pliops Multiplies Application Workload Performance

The Impact of Pliops XDP

Hear from our CTO & Co-Founder, Moshe Twitto as he discusses the impact of the Pliops Extreme Data Processor. Software developers used to be able to count on Moore’s Law to deliver faster performance with each generation of CPU but Moore’s Law is slowing to a crawl right when data-intensive cloud and enterprise applications like relational and NoSQL databases, analytics, and ML are booming.