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

Predict

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

Business Context

Before migrating selected business applications to accelerators, such as FPGAs and GPUs, 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 accelerators in the respective customer IT landscape, from an immediate operational and a strategic point of view


Predict

Predict

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

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Suite

Suite

Connect business applications with FPGA and GPU technology

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Analytics

Analytics Plug In

Accelerate complex data analytics and machine learning applications

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DB

DB Plug In

Accelerate performance-critical operations in databases

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Net

Net Plug In

Handle large-scale IoT infrastructure with FPGAs at the network edge

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