DataCore Parallel I/O

Why buy 10 servers when 2 will do?

datacore-parallel-i-o

Top Reasons for Virtualising Servers:

  1. Consolidate multiple workloads on a server using its multiple CPUs and large memories
  2. Isolate applications from hardware changes and failures so they run smoothly

Problem:

All workloads wait on one serial process for I/O, creating a bottleneck

Pain Points:

  • More servers required to spread the I/O load – fewer virtual machines (VMs) per server#Apps run slower when virtualised
  • Expected cost reductions don’t materialise

Why?

Hypervisors, operating systems and container virtualisation treat I/O serially even though workloads are scheduled to run in parallel across several CPUs

The Solution: Unlock the Full Performance of Your Servers with DataCore™ Parallel I/O Software

How: Process I/Os in parallel leveraging multi-core processor systems

Benefits: Do More with Less

  • Far fewer servers needed (2 vs 10)*
  • Apps run 10X faster**, even when virtualised – work completes in 1/10th the time
  • Systems respond quicker without adding hardware
  • Higher workload consolidation ratios – more VMs per server
  • Costs decrease substantially, as does complexity

Product Availability – The Power of Parallel I/O is included in:

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