Assess performance gains, costs
and savings when migrating business
applications to FPGAs.

Predict

Assess performance gains, costs
and savings when migrating business
applications to FPGAs.

Business Context

Before migrating selected business applications to FPGAs, customers require detailed up-front information about the potential regarding performance, energy efficiency and costs based on live data analyses.

Application Areas

  • End-to-end business processes
  • Data base applications
  • Big Data analytics, machine learning
  • Internet-of-Things

Xelera Predict Main Features And Value Contribution

  • Specification of the expected business targets based on defined parameters
  • Specification of the target platform
  • Provision of benchmarks in real customer environments by using different architectures, e.g. private and public cloud and hybrid platforms, and for different processor types (CPU, FPGA, GPU)
  • Presentation and analysis of the results based on dashboards and statistics
  • Recommendation for future deployments and IT infrastructure transformation roadmaps

Benefits

  • Accurate data regarding the benefits in terms of performance gain and energy expense savings
  • Recommendations for the use of FPGAs in the respective customer IT landscape, from an immediate operational and a strategic point of view


Predict
Assess performance gains, costs and savings when migrating business applications to FPGAs.
Suite
Connect business applications with FPGA technology
Analytics
Accelerate complex data analytics applications
DB
Accelerate performance-critical operations in databases
Net
Handle large-scale IoT infrastructure with FPGAs at the network edge