DELIVER ASSEMBLY-LINE THROUGHPUT TO DATA-INTENSIVE WORKLOADS WITH ZERO CODE CHANGE
The Speedata APU optimizes the flow of data through a configurable pipeline of compute elements. These elements are reconfigured for the incoming workload, and then the data records flow through them millions of times without having to fetch and decode instructions in every cycle — a capacity bottleneck that typically makes CPUs and GPUs unfit for analytics.
SEAMLESSLY INTEGRATE INTO EXISTING WORKLOADS
The APU automatically intercepts the work that was previously going to the CPU and reroutes it to accelerate hardware performance with zero code change and minimal overhead. This unburdens data engineers from having to migrate their workloads and manage testing and debugging, just for modest speedups from processors not designed for analytics.
WHY SPEEDATA APU?
Boost top line
Accelerate 100x faster time to insight
Easily answer previously impossible questions
Pre-process data to unlock value from AI workloads
Process more data with a fraction of the servers
Cut data center footprint and energy costs up to 95%
Eliminate opportunity cost of biz-critical projects
Turn long-running jobs into interactive workflows
Rapidly test new ideas, expand, and refresh data
Unburden infra and IT teams from hardware maintenance